Location: Lagos, Nigeria
Who We Are
We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role
Are you inherently curious about our customers? Do you constantly ask “why” behind the data?
The Market Intelligence & Insights team is expanding, and we are looking for a highly analytical and customer-obsessed team member to join us as a Market Intelligence & Insights Analyst.
In this role, you will work directly with the MI&I Manager to uncover the trends, behaviors, and competitive forces shaping the Nigerian fintech landscape. No prior formal market research experience is required. We will teach you the methodologies, tools, and science of research. What you need to bring is a deep understanding of the business, a passion for solving problems, and an eagerness to learn both quantitative (numbers-driven) and qualitative (people-driven) research.
What You Will Do
• Assist in the design, scripting, and deployment of customer surveys to measure satisfaction, product usage, and market trends
• Help organize and eventually conduct customer interviews, focus groups, and usability tests to understand the “why” behind customer behaviors
• Learn to analyze raw data, including survey results and internal metrics, to identify patterns and translate them into actionable insights
• Monitor the Nigerian lending and fintech landscape to track competitor products, campaigns, and market positioning
• Co-create visually engaging and easy-to-understand reports and presentations for cross-functional teams including Product, Marketing, and Management
• Support end-to-end research projects that influence business decisions and strategy
Requirements
What You Bring
Experience & Background
• Experience in Customer Experience, Data Analytics, Product, Operations, or related areas is an advantage
• Strong understanding of the company’s products, customer base, and operations
• No prior formal market research experience is required
Skills & Competencies
• Insatiable curiosity and a strong desire to understand customer behaviour and market trends
• Analytical empathy with the ability to connect data to real customer experiences
• Strong written and verbal communication skills with the ability to simplify complex ideas
• Strong business acumen and problem-solving ability
• High attention to detail and strong organizational skills
• Comfortable with basic data manipulation tools such as Excel or Google Sheets
• Eagerness to learn quantitative and qualitative research methodologies
This Role Is Ideal for You If:
• You enjoy asking questions and uncovering insights behind customer behaviour
• You are analytical but also customer-focused
• You enjoy learning and developing new strategic skills
• You are excited about influencing business decisions through research and insights
You May Not Enjoy This Role If:
• You prefer routine work without exploration or analysis
• You struggle with interpreting data or identifying patterns
• You are uncomfortable communicating insights or presenting findings
• You are not interested in understanding customer behaviour or market dynamics
Benefits
What’s In It For You:
• Opportunity to transition into a strategic, insight-driven role within the business
• Hands-on mentorship and exposure to market research methodologies
• Opportunity to build highly valuable skills in consumer psychology, data analysis, and market strategy
• Exposure to cross-functional teams and business decision-making processes
• The chance to directly influence future products, campaigns, and customer experience initiatives
• Competitive compensation and growth opportunities within a fast-paced fintech environment
Location: New York, NY (HQ); San Francisco, CA; Miami, FL
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
Ramp is in a critical phase of growth, and marketing is one of the biggest drivers of it. We're building out our business systems team to make sure the systems behind every campaign, list, and lead can keep up. You'll work directly with Growth Marketing, Demand Generation, Lifecycle, Events, Sales Development, and Sales to own the systems that turn marketing programs into pipeline. You'll own HubSpot and how it connects to Salesforce and the rest of our GTM stack.
What You'll Do
- Own top-of-funnel marketing systems: the roadmap, the architecture decisions inside them, and their operational health
- Run HubSpot as a system, not just a tool: workflows, lists, forms, properties, lifecycle stages, and the permissions and naming conventions that keep it from sprawling
- Run campaign operations end-to-end: program and campaign structure, campaign membership and status, event and webinar lead capture, and launch QA, so Marketing can ship quickly without creating data debt
- Own workflow management in HubSpot: build, document, and audit nurture, enrollment, and suppression workflows, and retire the ones that no longer earn their place
- Build and govern lists: ICP segmentation, inclusion and suppression logic, enrichment, and email validation between a Growth request and a send. Every list should be reproducible and explainable.
- Own privacy and opt-out management: subscription types, consent capture, unsubscribe and opt-out handling across HubSpot, Salesforce, and sales engagement tools, and compliance with CAN-SPAM, GDPR, and CCPA in a regulated fintech environment
- Design and maintain UTM tracking and attribution architecture: UTM taxonomy and governance, hidden-field capture on forms, lead source and original source logic, and how campaign touches flow into Salesforce, so the attribution reporting is something the business trusts
- Build the Salesforce automation behind marketing handoffs: record-triggered flows, validation rules, fields, and permission sets
- Use AI to automate the work where it holds up: enrichment, list QA, data quality checks, and request triage
- Prioritize incoming requests by ROI. Decide what gets built, deferred, or declined, and show the numbers behind each call.
What You'll Need
- 5+ years in marketing operations, business systems, or revenue operations at a fast-paced B2B company
- Deep hands-on HubSpot experience: workflows built and debugged, and list, form, and property architecture you designed rather than inherited
- Hands-on campaign operations experience: you've built campaign structures and owned the lists and sends behind real programs
- A working command of email privacy and consent: subscription management, opt-out handling across systems, and the regulations behind them
- UTM and attribution architecture you've owned in practice: taxonomy, capture, lead source logic, and the MQL-to-SQL handoff
- Salesforce Admin experience, including flows you built and debugged when they broke (certification is a plus)
- A habit of framing problems rather than waiting for a spec: you take on ambiguous requests, make the decisions, and ship
- You dissect a problem, drive it to completion with little supervision, and can explain the tradeoffs to any audience
Nice to Have
- Enrichment and routing tools such as Clay, ZoomInfo, LeanData and Chili Piper
- Sales engagement and automation platforms such as Outreach and Workato
- Deliverability and list hygiene at high sending volume
- Paid media and ad platform integrations, including conversion tracking
- Lead scoring and MQL model design
- Snowflake, Looker, or similar BI and warehouse tools
- Linear or similar project management software
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Требования к кандидату:
- 3+ years of experience in data analysis
- Experience in marketing analytics
- Strong knowledge of SQL
- Data analysis skills in Python
- Understanding of marketing KPIs and attribution models
- Attention to detail and problem-solving skills
- Good English communication skills (B2+)
УдалённоLisbon; Portugal (помогают с релокацией)
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Location: New York, NY
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
Read
our blog
to learn more.
About the role...
We are building a world-class marketing organization at Duolingo with the goal to make a significant impact on the company's rapid global growth. For this growing team, we're looking for a curious marketing analytics manager to help us build the foundations of measuring and understanding the impact of our media spend. You will play a key role in enabling data-driven marketing campaigns for Duolingo.
🧠 You will...
Create data-driven insights about the impact of our global performance marketing campaigns
Develop new approaches to grow our user base through data-driven marketing optimization
Partner with our data science team to better understand our new user cohorts and user behaviors
Act as a thought partner in defining marketing key performance indicators and tracking progress against target metrics
Mold data from multiple sources to answer key strategic marketing questions
Partner with marketing tech to influence and prototype backend data design, build intuitive and readable dashboards using visualization tools (e.g., Tableau), and extract actionable insights
Bridge analytics and marketing, speaking both languages
✅ You have...
Minimum of a Bachelor's degree in Statistics, Mathematics, Economics, or another related STEM degree field
Experience as a marketing analyst working with data from digital campaigns, including using data to inform strategic campaign decisions
Strong ability to condense complex concepts and analysis into clear and concise takeaways that drive action
Strong expertise using SQL to extract, clean, and transform data in large, complex, nested, databases
Proficiency with data visualization tools such as Tableau or Data Studio for data analysis, insight synthesis and presentation
Demonstrated strong intellectual curiosity
Able to work in our New York office
⭐ Exceptional candidates will have...
Hands-on experience running and optimizing digital app install campaigns
Expertise working with R, Python, or other statistical software
An impressive Duolingo XP or streak!
The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!
Salary Range:
$154,700
—
$209,300 USD
Benefits:
Take a peek at how we care for our employees' holistic well-being with our benefits
here
.
Job Alerts:
Sign up for job alerts
here
.
Accommodations:
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact
accommodations@duolingo.com
.
Equal Employment Opportunity:
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Fraud Warning:
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
By applying for this position your data will be processed as per the
Duolingo Applicant Privacy Notice
.
Location: Remote
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
WHY BOX NEEDS YOU
Box is looking for a Business Systems Analyst III (Marketing Systems) to join our Enterprise Systems team to own and scale critical Marketing technology platforms, with a primary focus on Iterable and TrustArc. This role partners closely with Marketing Operations teams to deliver scalable, compliant, and data-driven solutions that support Box’s go-to-market strategy.
As a BSA III, you will independently drive medium to high-complexity initiatives, act as a subject matter expert for assigned platforms, and serve as a trusted advisor to business stakeholders. You will influence the marketing systems roadmap, balance run-the-business support with strategic initiatives, and ensure solutions align with long-term platform scalability and compliance requirements.
WHAT YOU'LL DO
Serve as the primary BSA owner for Marketing platforms, with deep ownership of Iterable and TrustArc
Partner with Marketing Operations, to provide consultative guidance on system capabilities, limitations, and best practices
Independently lead end-to-end delivery of marketing technology initiatives, including discovery, requirements definition, backlog management, UAT coordination, and go-live readiness
Translate complex marketing, data, and compliance requirements into clear functional specifications and user stories
Design and support data integrations and pipelines using SnapLogic, collaborating closely with Engineering and Data teams
Use SQL to analyze data, validate integrations, troubleshoot issues, and support marketing reporting and segmentation needs
Evaluate current-state processes, perform fit-gap analysis, and recommend scalable, compliant marketing solutions
Collaborate in an agile delivery model with Enterprise Systems, Engineering, Data, and external vendors to ensure high-quality outcomes
Manage and prioritize run-the-business work, including enhancements, defects, and operational issues
Contribute to the Marketing Systems roadmap, providing input on effort estimation, dependencies, and delivery sequencing
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
Bachelor’s degree in Computer Science, Engineering, Business, Economics, or a related field
3+ years of Business Systems Analyst experience supporting enterprise applications
Experience with Marketo , including marketing automation, campaign management, and Salesforce integration.
Strong hands-on experience with Iterable, including campaigns, journeys, segmentation, data ingestion, and integrations
Experience supporting TrustArc or similar consent and privacy platforms in a marketing or data environment
Proven experience with SnapLogic, including designing, supporting, or troubleshooting integration pipelines
Strong SQL skills for data analysis, validation, and issue resolution
Solid understanding of lifecycle marketing, customer engagement, and marketing automation workflows
Demonstrated ability to independently own techno-functional deliverables across analysis, design, testing, and deployment
Strong stakeholder management and communication skills
Preferred skills:
Experience with additional MarTech, cloud computing or CDP platforms such as GCP, Segment, Marketo.
Familiarity with event-based tracking, customer data platforms, and downstream analytics
Experience in a SaaS, B2B, or high-growth technology environmen
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete
this form
. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice.
If you are a California-resident, please read our California Applicant & Candidate Privacy Notice
here
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
Box is committed to fair and equitable compensation practices. Actual base salary is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
United States Pay Range
$110,500
—
$138,000 USD
Location: Remote (Ukraine)
About us:
Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have recently achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team consists of 250 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team.
Our mission:
Become a stepping stone on our customers’ journeys of self-improvement.
Our values:
- Deliver what matters
- Respect and support others
- Initiate and own
- Voiceopenly
- Execute with quality
If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com http://gismart.com.
About project
FitMe is a fitness app created for people who want to stay active without long, repetitive workouts. It offers short, easy-to-follow routines that can be done at home with no equipment. FitMe is perfect for busy people who want to maintain their health, boost energy levels, and feel good every day — without going to the gym or spending hours on exercise.
What you will do:
- Support and development of marketing analytics for web/mobile products.
- Daily interaction with performance marketers: assessing the effectiveness of campaigns, channels and creatives.
- Cohort analysis, LTV and unit economics for scaling decisions.
- Prioritizing tasks based on business value and potential impact, balancing urgent requests with long-term strategic initiatives.
- Building and maintaining dashboards, reports, and key metrics to support data-driven decision-making.
- Ensuring data quality, uncovering insights, and providing actionable recommendations to improve marketing performance.
Key qualifications:
- 1+ years of experience in a similar analytics role.
- SQL proficiency for querying and analyzing large datasets.
- Solid understanding of statistics, including experiment design, statistical tests, correlation analysis, and segmentation.
- Hands-on experience with BI tools such as Tableau or Power BI.
- Ability to effectively communicate insights, presenting analysis results in a clear and compelling manner.
- Understanding marketing metrics (CPA, CAC, ROAS, LTV).
Would be a plus:
- Python skills (pandas, data visualization, statistics) for data manipulation and analysis.
- Experience with subscription monetization products – understanding key metrics, user retention, churn analysis, and revenue optimization strategies.
- Working with advertising offices (Meta, Google, TikTok, ASA).
Employee Benefits:
- Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs.
- Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy and autonomous hub) and 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace.
- Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday.
- Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year.
- 100% Sick Leave Compensation.
- Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs.
- Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools.
- Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses.
- Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart.
- Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.
About the company: Plurio builds AI agents for performance marketing, automating analysis and optimization for media buying teams managing $300K–$15M/month on Google, Meta, and TikTok. Their AI agents handle budget allocation, creative management, and automation rules based on historical data and ML models, managing over $500M/year in ad spend.
The Role: The Senior Marketing Analyst owns marketing attribution and measurement, ensuring trustworthy and explainable performance metrics across channels with complex attribution models (first/last/multi-touch, custom windows, LTV-driven funnels). Responsibilities include cross-channel and funnel analysis integrating paid media, on-site behavior, CRM, and backend revenue to diagnose funnel leaks and unit economics issues. The role requires deep understanding of paid-channel analytics on Meta and Google platforms to inform reallocation and optimization decisions. The analyst builds AI-driven analytical workflows using AI agents (Claude Code, Cursor, Codex) to automate data preparation and analysis, designs repeatable pipelines, and creates clear dashboards and reports (Power BI, Looker, Tableau) with real-time anomaly detection. The analyst collaborates with product, data, and engineering teams to align analytical models with product development.
Requirements: Excellent SQL skills with ability to write, debug, and optimize complex queries and teach AI agents to do so. Proven experience in marketing analytics and performance marketing, including attribution and management of Meta and Google Ads. Hands-on experience with AI coding agents to build workflows and automations. Systemic thinking focused on repeatable pipelines and automated analysis. Proficiency with Git for version control of queries and workflows. Strong communication skills to translate data into actionable decisions. Professional-level English and reliable overlap with US business hours.
Preferred: Python for analysis beyond SQL, experience with dbt, modern data warehouses (BigQuery, Snowflake), ETL/pipeline work, web/measurement tools (GA4, GTM, server-side tracking), experience with complex funnels and LTV-driven models in sectors like EdTech, FinTech, Consumer Apps, B2C SaaS, Healthcare, Home Services. Independent project ownership and public samples of work.
Red Flags: Creating dashboards without marketing or attribution understanding, SQL only via drag-and-drop BI tools, using AI agents only as chat without workflow building, theoretical marketing analytics without hands-on Meta/Google Ads experience.
What to Expect: Competitive compensation aligned with senior experience, AI-first culture with advanced tooling, significant impact on client outcomes and AI product, remote work with US-hours overlap.
Hiring Process: Application with CV and short answers, intro call, technical interview on SQL and marketing analytics, final culture fit conversation, paid trial period, then offer.
How to Apply: Fill out the application form at the provided link; no cover letter required.
Location: Los Angeles, United States
Workplace: onsite
About Xsolla
Xsolla is a global commerce and financial technology company for the video game industry. Headquartered in Los Angeles with offices and operations worldwide, Xsolla provides the tools, infrastructure and capital solutions that help developers and publishers fund, launch, distribute and monetize their games across every market and platform. The company serves thousands of game businesses globally, from independent studios to the largest publishers, and is expanding a dedicated capital markets and investment platform serving the interactive entertainment ecosystem.
The Capital Markets Group
The Capital Markets Group (CMG) sits within Xsolla's Global Strategic Initiatives function and operates as the firm's institutional capital platform. The group originates, structures and executes financing and investment solutions across games and interactive entertainment, and is building a franchise modeled on the leading independent capital markets and special situations advisory platforms.
The group operates multiple investment vehicles spanning debt financing and credit markets, alongside special situations and principal investment strategies serving the interactive entertainment ecosystem. These activities are supported by a proprietary market intelligence system, a global events and convening program, and a governed institutional relationship platform covering LPs, sovereign investors, family offices, banks and intermediaries across the Americas, MENA, APAC and Europe.
CMG operates from hubs in Los Angeles, New York, the Middle East and Singapore. The group is in its foundation stage: hires at every level join a live deal environment with executive sponsorship, meaningful ownership and the mandate to build a durable franchise rather than inherit one.
For more information, visit xsolla.com.
About the Opportunity
Xsolla is seeking an
Analyst, Capital Markets Intelligence and CRM
to operate the information layer that the entire Capital Markets Group runs on: producing the daily market intelligence that directs senior coverage attention, building and maintaining the institutional relationship data that every mandate draws on, tracking the global events landscape that drives origination, and preparing the briefing materials that put senior coverage into every meeting fully prepared.
The corporate title for this seat is Analyst, with no direct reports. The seat offers unusual breadth for the level: direct exposure to fund formation, private placements, and credit and distressed situations across gaming and interactive entertainment, daily interaction with the group's senior leadership, and a defined development path toward coverage or capital formation responsibility.
The Analyst, Capital Markets Intelligence and CRM will be based in Los Angeles, CA, Xsolla's headquarters, in office, and will report to the Vice President, Investor Relations and Capital Formation. Travel is limited to up to 10 percent, primarily for priority industry events. This is a full time position.
How to Apply
Interested candidates should apply via the application button below, together with a resume and a short note on relevant experience. The Xsolla Talent Acquisition team will follow up on qualifying applications.
Role Overview
As Analyst, Capital Markets Intelligence and CRM, you will run the information systems that the entire Capital Markets Group depends on: the daily intelligence product, the institutional relationship database, the events calendar, and the meeting preparation that keeps senior coverage armed for every conversation. The role suits a candidate who wants the analytical rigor of an investment banking seat combined with real ownership of a system they run themselves.
Key Responsibilities
Market Intelligence
Produce the daily digest. Produce the daily capital markets intelligence digests and the Friday weekly rollup, applying the group's prioritization rubric and tiered output formats for individual, team and executive audiences, and operate the reader feedback loop that tunes the product over time.
Monitor global sources. Monitor the defined multilingual source set with translation tooling and flag regionally significant items to the Americas, MENA and APAC coverage heads.
Track special situations. Track the distressed and special situations landscape across gaming and interactive entertainment, and prepare screening one pagers on qualifying situations for review at the weekly pipeline call.
Relationship Data Operations
Build institutional records. Build institutional records in the firm's relationship platform, sourcing from public materials, licensed data providers and event lists, with enrichment, deduplication and tiering support to the group's data standards.
Operate the staging workflow. Operate the prospect staging and promotion workflow, ensuring nothing enters the production database without review, and support the quarterly tiering refresh.
Maintain the audit trail. Maintain the audit trail on data provenance and consent context consistent with the firm's data handling standard.
Coverage Support
Prepare meeting briefs. Prepare meeting briefs for every Tier 1 interaction at least 24 hours in advance, including institution profile, relationship history, live items and suggested talking points; log outcomes and next actions in the platform after each meeting.
Support materials preparation. Support materials preparation for investor meetings, roadshows and transaction processes under the direction of the VP and coverage heads.
Events and Convening
Maintain the events calendar. Maintain the global events calendar across credit, private capital, SPAC, venture, family office and sovereign conferences, with rolling 30, 60 and 90 day action lists and attendance recommendations.
Run event follow up. Run event follow up operations, capturing who the team met, promoting qualified contacts into the platform and tracking post event actions to completion.
Candidate Profile
Experience
1 to 3 years of experience in investment banking, equity or credit research, management consulting, or a data intensive operations seat at a financial institution; exceptional final year candidates and recent graduates with relevant internships will be considered.
Working knowledge of the gaming and interactive entertainment ecosystems is a plus, as is exposure to data providers such as Preqin, PitchBook or Bloomberg.
Domain Expertise
Excellent research and business writing skills, with the ability to compress large volumes of information into decision ready summaries.
Familiarity with Salesforce administration concepts, SQL, or automation tooling used to build workflows is preferred.
Skills and Competencies
Strong working proficiency in Excel and demonstrated comfort operating CRM or comparable structured data systems, with accountability for data quality.
Meticulous attention to detail, high throughput, and the judgment to distinguish signal from noise under time pressure.
Discretion with confidential information and a high degree of ethics and integrity.
Professional working proficiency in one or more of Mandarin, Japanese, Korean, Arabic, Portuguese or Spanish is preferred.
Education and Credentials
A bachelor's degree is required.
The SIE examination, passed or scheduled, is preferred; Xsolla sponsors relevant professional examinations and designations as part of its analyst development program.
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Analyst, Capital Markets Intelligence and CRM role, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Working with vulnerable populations
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with thisXsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Compensation is competitive and negotiable based on experience, and includes performance-based incentives, and comprehensive health, retirement, and wellbeing benefits.
Location: Tunis, Tunisia; Cairo, Egypt
Workplace: hybrid
Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world.
We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.
Responsibilities
Collaborate with marketing teams to analyze marketing performance metrics, including attribution, audience targeting effectiveness, campaign ROI, and user engagement metrics.
Utilize data analysis skills, along with a deep understanding of marketing principles, to identify opportunities for improving marketing strategies and tactics.
Work cross-functionally with Product, Engineering, Research, and other teams to integrate marketing data into overall business strategy and product development processes.
Serve as a data ambassador, promoting a data-driven marketing culture within the organization.
Influence marketing strategy and execution by providing data-driven insights and recommendations to key stakeholders.
Partner with Engineering to ensure the collection of relevant data for informed decision-making and optimization of marketing efforts.
Develop and implement hypotheses for optimizing marketing performance, employing rigorous analytical approaches and methodologies.
Communicate insights and recommendations effectively through data-driven storytelling, influencing stakeholders to make data-informed decisions.
Requirements
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
A minimum experience of 5 years in analytics in an app marketing environment, including a track record of leveraging attribution tools and analytics to define marketing strategies and of defining tracking plans for marketing campaigns.
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Language skills : French and English (fluent) , Arabic is an advantage
At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.
We look forward to receiving your application!
Best of luck,
Your Yassir TA Team
Location: Chicago, Illinois, United States, New York, NY, United States, Redwood City, CA, United States, San Francisco, CA, United States, United States
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
WHY BOX NEEDS YOU
Box is looking for a Business Systems Analyst III (Marketing Systems) to join our Enterprise Systems team to own and scale critical Marketing technology platforms, with a primary focus on Iterable and TrustArc. This role partners closely with Marketing Operations teams to deliver scalable, compliant, and data-driven solutions that support Box’s go-to-market strategy.
As a BSA III, you will independently drive medium to high-complexity initiatives, act as a subject matter expert for assigned platforms, and serve as a trusted advisor to business stakeholders. You will influence the marketing systems roadmap, balance run-the-business support with strategic initiatives, and ensure solutions align with long-term platform scalability and compliance requirements.
WHAT YOU'LL DO
Serve as the primary BSA owner for Marketing platforms, with deep ownership of Iterable and TrustArc
Partner with Marketing Operations, to provide consultative guidance on system capabilities, limitations, and best practices
Independently lead end-to-end delivery of marketing technology initiatives, including discovery, requirements definition, backlog management, UAT coordination, and go-live readiness
Translate complex marketing, data, and compliance requirements into clear functional specifications and user stories
Design and support data integrations and pipelines using SnapLogic, collaborating closely with Engineering and Data teams
Use SQL to analyze data, validate integrations, troubleshoot issues, and support marketing reporting and segmentation needs
Evaluate current-state processes, perform fit-gap analysis, and recommend scalable, compliant marketing solutions
Collaborate in an agile delivery model with Enterprise Systems, Engineering, Data, and external vendors to ensure high-quality outcomes
Manage and prioritize run-the-business work, including enhancements, defects, and operational issues
Contribute to the Marketing Systems roadmap, providing input on effort estimation, dependencies, and delivery sequencing
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
Bachelor’s degree in Computer Science, Engineering, Business, Economics, or a related field
3+ years of Business Systems Analyst experience supporting enterprise applications
Experience with Marketo , including marketing automation, campaign management, and Salesforce integration.
Strong hands-on experience with Iterable, including campaigns, journeys, segmentation, data ingestion, and integrations
Experience supporting TrustArc or similar consent and privacy platforms in a marketing or data environment
Proven experience with SnapLogic, including designing, supporting, or troubleshooting integration pipelines
Strong SQL skills for data analysis, validation, and issue resolution
Solid understanding of lifecycle marketing, customer engagement, and marketing automation workflows
Demonstrated ability to independently own techno-functional deliverables across analysis, design, testing, and deployment
Strong stakeholder management and communication skills
Preferred skills:
Experience with additional MarTech, cloud computing or CDP platforms such as GCP, Segment, Marketo.
Familiarity with event-based tracking, customer data platforms, and downstream analytics
Experience in a SaaS, B2B, or high-growth technology environmen
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete
this form
. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice.
If you are a California-resident, please read our California Applicant & Candidate Privacy Notice
here
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
Chicago Pay Range
$11,700
—
$140,000 USD
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
New York City Pay Range
$117,000
—
$140,000 USD
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits.
For more information
, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
San Francisco Pay Range
$117,000
—
$140,000 USD
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits.
For more information
, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
Redwood City Pay Range
$117,000
—
$140,000 USD
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
We're looking for a Staff Data Analyst to be the senior analytical partner to our Marketing organization. You'll define how Marketing understands its own performance, influence investment decisions at the leadership level, and shape the data foundations that underpin our AI and automation capabilities. Sitting within our centralized analytics function, you'll work closely with Growth Marketing, Corporate Marketing, Revenue Operations, Finance, and Data Engineering bringing strategic thinking, deep marketing expertise, and the ability to turn complex data into clear recommendations that move the business forward.
How we’re using AI today
On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password.
This is a remote opportunity within Canada and the US.
What we're looking for:
- 7+ years in marketing analytics and data strategy within complex B2B SaaS environments
- Deep marketing domain expertise, including attribution, funnel analysis, forecasting, KPI development, and lifecycle measurement
- Proven experience partnering directly with senior marketing leaders and executive stakeholders
- Experience leading attribution modernization or marketing measurement transformation initiatives
- Familiarity with AI-assisted analytics, statistical modeling, or predictive techniques in a business context
- Advanced SQL and strong experience with large-scale analytical datasets
- Hands-on experience with modern AI/BI tools (Hex, Omni, Claude, Dust, or similar)
- Comfort in modern cloud data ecosystems: Snowflake, Databricks, dbt
- Experience working with Marketing and GTM platforms: Salesforce, Marketo, GA4, and related martech
What you can expect:
- A greenfield opportunity to shape the data foundations, measurement frameworks, and analytical standards that Marketing and 1Password's broader AI capabilities will depend on
- Deep partnership with Marketing leadership across planning cycles, investment decisions, and performance measurement
- Ownership of complex marketing domain work across attribution, funnel measurement, forecasting, and lifecycle analysis in a fast-moving SaaS environment
- A seat at the forefront of how AI gets applied in Marketing analytics, building the trusted, governed data foundations that every AI initiative will depend on
- Cross-functional partnership across Marketing, Finance, RevOps, Product, and Data teams with the opportunity to mentor analysts and raise the bar on analytical standards
- An environment where there's a lot to build and your fingerprints will be on it. This is a role for someone who thrives with ownership and ambiguity, not a playbook to follow
USA-based roles only: The annual base salary for this role is between $149,000 USD and $216,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $131,000 CAD and $175,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Задачи:
— Анализ маркетинговой эффективности по каналам, включая платное привлечение, мероприятия, продуктовый маркетинг и производительность сайта.
— Создание, поддержка и улучшение дашбордов для различных маркетинговых команд (performance, продуктовый маркетинг, мероприятия, сайт).
— Поддержка маркетинговых заинтересованных сторон с ад-хок анализами, расследованием метрик и отчетностью (например, объяснение падения лидов или эффективности кампаний).
— Работа с воронками привлечения, маркетинговыми расходами и моделями атрибуции (включая мульти-тач атрибуцию, где применимо).
— Тесное сотрудничество с аналитикой продаж и экономикой единицы для обеспечения согласованных определений, метрик и моделей данных.
— Помощь в улучшении качества данных, согласовании определений метрик и снижении несоответствий в дашбордах и отчетах.
— Поддержка ежедневных аналитических потребностей маркетинговых команд и вклад в долгосрочные улучшения маркетинговой аналитики.
Требования:
— Опыт 3–6+ лет в области аналитики данных с практическим опытом в маркетинговой аналитике.
— Сильные навыки SQL обязательны.
— Практические знания маркетинговых метрик, анализа эффективности кампаний, моделей атрибуции или KPI маркетинга.
— Опыт создания понятных и действенных дашбордов для нетехнических заинтересованных сторон.
— Сильные коммуникативные навыки и способность тесно работать с маркетинговыми заинтересованными сторонами.
— Аналитический склад ума, умение исследовать проблемы, объяснять изменения метрик и превращать данные в действенные инсайты.
— Приветствуется опыт работы с веб-аналитикой, моделированием атрибуции и DBT.
Условия:
— Удалённая работа с гибким графиком без обязательных офисных дней и трекеров посещаемости.
— Дополнительные выходные: день рождения, 10 личных дней в году, 7 больничных без справок, дополнительные выходные на Рождество и Новый год.
— Работа с миссией создания безопасного, доступного и инклюзивного цифрового мира.
— Конкурентная и прозрачная оплата, ориентированная на рынок.
— Международная команда и проекты, работающие по всему миру.
— Поддержка профессионального роста, обучение и участие в профильных мероприятиях.
— Командные оффсайты несколько раз в год с покрытием расходов.
— Обеспечение необходимыми инструментами и оборудованием для работы.
— Дружелюбная и открытая корпоративная культура.
Этапы найма: скрининг рекрутера, интервью с менеджером по найму, интервью с заинтересованными сторонами, финальное интервью.
УдалённоseniorWe work across continents and time zones, with teammates and customers from all over the world
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity
We are seeking a
Marketing Analytics Director
to lead the evolution of our marketing data stack and raise the analytical rigor of the entire marketing organization. This is a critical role for a builder-practitioner who works at the intersection of Data Science, Marketing Strategy, GTM, and AI Operations. You won't just report on the funnel. You will build the systems that make every analyst on this team sharper, including the AI agents themselves.
As the
Marketing Analytics Director
, you will be the lead architect of our data-driven growth engine, connecting high-level strategy with advanced technical execution. You will move beyond traditional reporting to build a self-sustaining marketing ecosystem, leveraging Google BigQuery, Grafana, and agentic AI to create a unified source of truth and a culture of analytical rigor. Your mandate is to move the needle on demand generation across the entire marketing funnel, while raising the standard for how analytical work gets produced, challenged, and shipped across the org.
You will architect a dual-track target-setting framework that balances high-velocity top-of-funnel growth with deep-funnel quality, ensuring GTM resources are directed toward high-converting user cohorts optimized for Grafana adoption and long-term retention.
You will be expected to engineer the underlying data schemas, design predictive models, and implement the BI frameworks that shape our global GTM strategy. We are looking for a technical expert who can translate complex data into clear executive-level direction and who proactively builds systems that prevent AI-generated noise from drowning out actual signals.
What You'll Be Doing
Strategic GTM Partnership:
Serve as the primary strategic partner to the GTM Leadership team (VP of Demand Gen, VP of Regional and Events, Head of Marketing Ops, CMO, Revenue Operations, Sales leadership and more), translating complex data into a clear roadmap for demand generation and revenue growth.
Dual-Track Target Setting:
Architect and own a sophisticated forecasting framework that balances top-of-funnel volume with high-intent lead quality, optimized for Grafana Cloud conversion and retention.
Predictive Modeling and ROI:
Develop and maintain machine learning models (Attribution, MMM, LTV) to predict campaign impact and steer budget allocation toward the highest-ROI channels.
Data Warehouse Architecture:
Oversee the structure of marketing data within Google BigQuery, ensuring a scalable single source of truth that connects product usage data with marketing touchpoints.
Causal Inference and Inflection Hunting:
Move beyond descriptive analytics to perform causal inference and predictive trend analysis. When the data shows an anomaly, whether a 3-month spike, a regional dip, or a campaign that overperformed, isolate the window and dig in.
Executive Storytelling:
Transform technical data outputs into clear, compelling narratives for the executive team and board. Deliver a succinct read and go deep where pushed.
Utilizing AI and Automation
Agentic Insights:
Deploy LLM-powered agents (Claude Code, MCP-based tooling, or comparable) to monitor BigQuery datasets and automatically flag quality shifts in the funnel before they impact revenue.
Autonomous Workflows:
Implement orchestration patterns (N8N, custom MCP servers, or equivalent) to build self-healing data pipelines and automated responses to market signals, such as automated spend shifts based on conversion anomalies.
Predictive Quality Scoring:
Build and deploy AI-driven scoring models that separate high-value potential users from low-signal volume, helping Sales and Marketing prioritize effectively.
What Makes You a Great Fit
8+ years in Marketing Analytics, GTM Strategy, or Data Science, with at least 2 years in a lead architect capacity (IC track or player-coach; people management not required) within a high-growth SaaS or PLG environment.
Demonstrated history as a force multiplier. You can point to specific tooling, rituals, evaluator systems, or frameworks you built that made other analysts or the broader org measurably better. A portfolio of dashboards you personally produced is not sufficient.
Data Science and Engineering: Mastery of SQL and Python required. Deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses.
Hands-on AI fluency as a builder, not a user. You have built and shipped agentic systems with Claude Code, MCP, or comparable tools. You understand where LLMs fail and how to design around those limitations. You have built evaluator agents, prompt-grading systems, or analytical quality tooling in production.
Automation Proficiency: Hands-on experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling.
Visualization and BI: Advanced proficiency in modern data stack visualization tools (Grafana, Looker, Tableau) to build executive-grade dashboards.
Strategic Acumen: Proven ability to create structure in highly ambiguous environments and build target-setting frameworks from scratch.
MarTech Ecosystem: Deep familiarity with connectivity between Salesforce, marketing automation, and product-led data streams.
Executive presence with experience presenting to executive and board audiences, including sound judgment about what data is and isn't ready to share up the chain.
Bonus Points For
Education: Bachelor's or Master's degree in a quantitative field (Data Science, CS, Statistics, Business Analytics). MBA or MS in Data Science is a significant plus.
In the US, the OTE compensation range for this role is $
178,503
- $
214,203.
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Algiers, Algeria
Workplace: hybrid
As a marketing data analyst at Yassir, working in the Data and AI team, you will have the opportunity to make significant contributions to Yassir's marketing strategies, targeting efforts, and customer engagement initiatives. You will leverage advanced analytics to optimize marketing campaigns, understand audience behavior, and enhance the overall marketing performance, ultimately driving growth and success across Yassir's services in 45 cities across 7 countries (Algeria, Tunisia, Morocco, Senegal, South Africa, and France).
Responsibilities:
Collaborate with marketing teams to analyze marketing performance metrics, including attribution, audience targeting effectiveness, campaign ROI, and user engagement metrics.
Utilize data analysis skills, along with a deep understanding of marketing principles, to identify opportunities for improving marketing strategies and tactics.
Work cross-functionally with Product, Engineering, Research, and other teams to integrate marketing data into overall business strategy and product development processes.
Serve as a data ambassador, promoting a data-driven marketing culture within the organization.
Influence marketing strategy and execution by providing data-driven insights and recommendations to key stakeholders.
Partner with Engineering to ensure the collection of relevant data for informed decision-making and optimization of marketing efforts.
Develop and implement hypotheses for optimizing marketing performance, employing rigorous analytical approaches and methodologies.
Communicate insights and recommendations effectively through data-driven storytelling, influencing stakeholders to make data-informed decisions.
Minimum qualifications:
Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
A minimum experience of 5 years in analytics in an app marketing environment, including a track record of leveraging attribution tools and analytics to define marketing strategies and of defining tracking plans for marketing campaigns.
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
Language skills: French and English (fluent), Arabic is an advantage.
Benefits:
Задачи:
— Анализировать и повышать эффективность закупки рекламного трафика из in-app, social и web-источников: оценивать источники, каналы, кампании, аудитории и связки по ключевым закупочным метрикам, определяя зоны для масштабирования и оптимизации.
— Проводить когортный и сегментный анализ, ad hoc-анализ закупки трафика.
— Системно находить точки роста, формулировать, приоритизировать и тестировать growth-гипотезы на основе данных: от оптимизации закупки трафика, креативов и рекламных платформ до улучшения монетизации, удержания и окупаемости пользователей.
— Анализировать и улучшать эффективность алгоритмов автоматизации закупки трафика: оценивать качество решений, искать причины просадок, формулировать требования к доработкам и адаптировать логику под новые источники, рекламные платформы и бизнес-цели.
— Проводить предиктивную и инициативную аналитику, помогая заранее выявлять риски, просадки эффективности и новые возможности для роста.
— Строить и поддерживать аналитические и функциональные dashboards.
— Проверять точность ключевых отчетов, данных, трекинга и аналитических систем; работать с данными из рекламных платформ, BI, CRM, MMP, attribution tools и внутренних баз.
— Координировать аналитические задачи в рамках своего направления: взаимодействовать с analytics team, следить за качеством аналитики и помогать переводить результаты анализа в бизнес-рекомендации.
— Анализировать и улучшать продуктовые метрики собственных приложений, находя точки роста в удержании, монетизации, пользовательском поведении и общей эффективности продукта.
Требования:
— Опыт работы в data analytics от 7 лет.
— Опыт в mobile app analytics и рекламной медиации для приложений с рекламной монетизацией: понимание работы mediation-платформ, ad networks, waterfall / bidding-логики, eCPM, fill rate, ARPDAU, impressions, ad revenue и влияния рекламной монетизации на продуктовые метрики.
— 4+ года опыта с digital marketing, performance marketing, paid acquisition или growth marketing.
— Глубокая экспертиза в ключевых закупочных и продуктовых метриках и их практическом применении: LTV, ROAS, ROI, CPA, CPC, CPM, CPI, CTR, CR, retention, ARPU и др.
— Опыт проведения когортного анализа, ad hoc-анализа, оценки экспериментов и проверки гипотез.
— Умение находить неочевидные инсайты в данных и превращать их в конкретные бизнес-рекомендации.
— Опыт работы с MMP, attribution и tracking tools: Adjust, Voluum, Amplituda, MixPanel, Firebase или аналогичными платформами.
— Опыт работы с SQL для проведения ad hoc-анализа, извлечения данных и моделирования.
— Знание Python или R для аналитики, автоматизации и моделирования.
— Понимание принципов маркетинговой атрибуции, tracking, conversion measurement и качества данных.
— Навыки работы и построения отчетностей, dashboards в BI-инструментах (Looker).
— Опыт работы с BigQuery и другими инструментами современного data stack: GitLab, Docker, Google Cloud (Container Registry, Workflows, Cloud Run).
— Опыт работы с большими объемами данных и способность самостоятельно выстраивать аналитическую логику.
— Сильные аналитические способности и системное мышление.
— Внимание к деталям, высокий уровень самоорганизации и ответственность за результат.
— Умение понятно доносить технические выводы до нетехнических команд.
— Высшее образование в области математики, прикладной математики, статистики, data science, информационных технологий или смежных дисциплин.
Условия:
— Удаленный формат взаимодействия.
— График: с 10:00 до 19:00 по времени Кипра.
— 20 дней отпуска и оплачиваемые больничные.
— Зарплата - по договоренности, в зависимости от Вашего уровня и опыта.
— Работаем по праздничному календарю Кипра.
— Испытательный срок - 3 месяца.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
The role
This is a foundational role on Sierra's Operations team, sitting at the intersection of marketing and GTM. As Marketing Operations and Analytics Lead, you'll own two things: the measurement infrastructure that connects marketing programs to pipeline and revenue; and the operational processes that make the marketing engine run efficiently and at scale.
What you'll do
- Full-funnel attribution: Design and own Sierra's marketing attribution framework, connecting campaigns, events, content, and demand gen programs to pipeline generation and ultimately LTC conversions.
- Pipeline analytics: Partner with Marketing and Sales to analyze pipegen by vertical, region, and segment. Track conversion rates at each stage and surface where marketing programs are—and aren't—generating high-quality opportunities.
- Performance reporting: Build and maintain the marketing team's core performance dashboards—campaign ROI, event pipeline influence, channel mix, lead quality, and funnel velocity.
- ICP & account intelligence: Develop data-driven ICP scoring and account prioritization models to focus marketing investment on segments with the highest win rates and ASPs. Integrate signals from first-party and third-party intent sources to keep targeting sharp.
- Experiment design & optimization: Design rigorous A/B and multivariate tests across marketing channels. Establish the statistical standards the team uses to evaluate new programs; translate results into clear, actionable recommendations—not just p-values.
- Lead management & routing: Define and maintain lead scoring models, MQL thresholds, and routing logic from first touch to Sales handoff. Partner with Sales to ensure lead quality, minimize friction, and continuously improve conversion from MQL to pipeline.
- Campaign operations: Own the operational infrastructure behind campaign execution—email programs, landing page workflows, event lead capture, and list management. Build processes that let the demand gen and events teams move quickly without creating data debt.
- Cross-functional partnership: Serve as the analytical and operational bridge between Marketing, GTM Ops, Finance, and Sales leadership—ensuring marketing metrics are aligned with company PG, POC, and ARR targets; contribute to quarterly business reviews (QBRs) and annual planning with marketing-specific performance analysis and forecasts
What you'll bring
- 12+ years spanning marketing analytics and marketing operations
- Deep expertise in attribution modeling, multi-touch funnel analysis, and pipeline/revenue measurement in long, multi-stage enterprise sales cycles
- Hands-on martech stack experience—marketing automation (Marketo, HubSpot, or similar), Salesforce, lead routing, and third-party enrichment tools
- Strong SQL skills; fluency working with large datasets in modern data stacks (ClickHouse, Snowflake, BigQuery, or similar)
- Proven ability to translate complex analyses into clear narratives for non-technical stakeholders, including C-suite executives
- High attention to detail and a strong point of view on what "good" looks like—you've built this infrastructure before and know where the landmines are
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: Montreal
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
Our
Real-time Strategy team
at the Montreal office is looking for a highly motivated and passionate individual to work the
European trading session
to help develop trading strategy that will allow us to capture and monetize market-moving events. To this end, you will work alongside a small team to provide insight and help flesh out new opportunities.
In this role you will be required to support the European Market hours.
If you wish to be part of a dynamic company that values and recognizes your skills, ambition and ideas, you’ll have:
A passion for the field of geopolitics and finance
A Bachelor’s degree in Economics, Finance, Political Science or any related program
Strong organizational skills and close attention to detail
A willingness to learn and an ability to adapt to constantly evolving demands
A creativity and drive to help improve our processes and trading methodologies
Excellent written and oral communication skills
As a Real-time Market Strategist for DRW, here are somethings you will focus on:
Use available resources and extensive research to distil “market sentiment”
Help analyze and make sense of seemingly unrelated events
Use the insight gleaned to develop strategy allowing traders to monetize market events
Bring fresh ideas and approach to help refine existing practices and seek out new opportunity
What DRW Montreal has to offer you:
Recognized as one of Canada’s Best Employers for the past 8 years
Committed to continuous learning & development
Industry leading benefits package and perks
Focused on employee well-being and work-life balance
Community initiatives, volunteer program and opportunities for giving back
Find out more about all of our perks & benefits at:
https://drw.com/work-at-drw/montreal-benefits
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-KS1
Location: Remote
At Finyard, we’re a global team of engineers, data scientists, marketeers, and financial experts, passionate about technology and innovation. We’re all about bringing revolutionary software services to people all around the world, and have been since 2018.
Our mission is to innovate by launching modern software solutions in the FinTech space, giving users around the world simpler and quicker ways to transact and manage their investments. We are committed to ensuring every product we release is in service of our users, so that as we grow, so do they.
About the Role
We are seeking a highly knowledgeable and media-savvy
Financial Market Analyst
to join our team. This role combines deep analytical expertise with strong communication skills. You will be responsible for delivering high-quality market insights, producing daily/weekly analytical content, and representing the company across financial media, interviews, podcasts, webinars, and industry events.
This is a high-visibility role suited for someone who lives and breathes the financial markets, can translate complex ideas into clear insights, and is comfortable being the public face of a global fintech brand.
Key Responsibilities
Market Research & Analysis
Monitor global financial markets across FX, indices, commodities, equities and macroeconomic developments.
Produce
daily, weekly, and monthly
market analysis reports, forecasts, and commentary.
Identify market trends, trading opportunities, and risk factors relevant to our clients.
Develop thematic deep-dives (e.g., macro outlooks, sector trends, crypto market structure analysis).
Collaborate with internal teams (product, marketing, PR) to ensure accuracy and alignment of all market-related communications.
Content Creation
Write high-quality market analysis articles, newsletters, and research briefs.
Produce short-form and long-form commentary suitable for social media, blogs, and client communications.
Prepare visual market insights – charts, infographics, and data-driven storytelling.
Support educational content (market explainers, trading insights, video scripts).
Media Representation
Act as the
face of the company
in financial media.
Provide expert commentary for TV interviews, radio, press quotes, podcasts, and webinars.
Build and maintain relationships with journalists, editors, and media outlets.
Participate in industry events, conferences, and panel discussions as a company representative.
Internal Collaboration
Work closely with PR & Communications to ensure consistent narratives.
Align insights with product launches, campaigns, and marketing initiatives.
Provide internal briefings to leadership regarding market conditions and emerging risks.
Required Skills & Qualifications
Technical & Market Expertise
3-7+ years of experience as a market analyst, strategist, economist, or related role.
Strong understanding of
macro trends, global markets, technical analysis
.
Solid analytical skills with experience using charting tools, economic calendars, and market data platforms.
Communication & Media Skills
Exceptional writing ability – clear, concise, engaging.
Strong on-camera presence, confident public speaking, and ability to simplify complex concepts.
Prior media experience is a strong advantage (interviews, quotes, commentary).
Ability to adapt tone and message depending on the channel (press, social, clients).
Personal Attributes
Comfortable taking initiative with minimal supervision.
Highly articulate, detail-oriented, and intellectually curious.
Resilient under fast-paced market conditions with tight deadlines.
Able to balance accuracy with speed of delivery.
Preferred Qualifications
Degree in Finance, Economics, Business, or related field.
Professional certifications (CFA, CMT, etc.) are a plus.
Experience with trading platforms or derivatives markets.
Familiarity with market fundamentals, on-chain data, and digital asset trends.
What We Offer
Competitive compensation package.
Opportunity to become a
recognized public market expert
and grow your personal brand with the backing of a leading fintech company.
Global exposure via top-tier media networks.
High degree of autonomy and the ability to shape market narratives.
Collaborative, innovative, and growth-focused work environment.
ГибридseniorNew York, NY (HQ); San Francisco, CA; Miami, FL; Relocation expense coverage to NYC or SF (if needed)
seniorNew York, NY
УдалённоСША; Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance; Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance
УдалённоRemote (Ukraine)
УдалённоseniorМожно работать из любой страны
ОфисLos Angeles, United States
ГибридseniorTunis, Tunisia; Cairo, Egypt
Chicago, Illinois, United States, New York, NY, United States, Redwood City, CA, United States, San Francisco, CA, United States, United States; Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance; Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance
УдалённоRemote (United States | Canada)
United States (Remote)
УдалённоseniorГрафик: с 10:00 до 19:00 по времени Кипра