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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

Mycar Digital — цифровой проект для автомобилистов: маркетплейс по продаже и покупке авто, автоматизация бизнес-процессов, автокредитование и дилерские центры. Офис или гибрид (Алматы, Казахстан).

Location: Amsterdam; Spain Workplace: remote Senior Reconciliation Analyst (Fixed-Term Cover) About the Role Our Reconciliation team makes sure that every euro our clients see in their balances is actually backed by cash in the bank — and right now, we need an experienced Senior Reconciliation Analyst to join us on a fixed-term basis to cover a period of maternity leave. This is a hands-on, high-impact role at the heart of our payment operations. You'll own the day-to-day routine of monitoring reconciliation breaks, investigating discrepancies, and working closely with engineering and banking partners to keep everything balanced. It's a fast-moving environment where priorities can shift daily, so we're looking for someone who thrives on structure one day and adapts the next. While the core focus is routine reconciliation, there's real room to get involved in automation projects once you're up to speed — and this role can also be a strong stepping stone into other teams at the company longer-term. A Bit About the Team Our Reconciliation team is small but mighty — every analyst is expected to think like an owner, gradually automating routine work while keeping the core process rock-solid. It's a team that values flexibility (fully remote, outcome-focused — we care that the job gets done, not what hours you keep) and gives people real autonomy once the fundamentals are covered. If you enjoy solving problems that sit right at the intersection of data and payments, you'll fit right in here. About the Role Our Reconciliation team makes sure that every euro our clients see in their balances is actually backed by cash in the bank — and right now, we need an experienced Senior Reconciliation Analyst to join us on a fixed-term basis to cover a period of maternity leave. This is a hands-on, high-impact role at the heart of our payment operations. You'll own the day-to-day routine of monitoring reconciliation breaks, investigating discrepancies, and working closely with engineering and banking partners to keep everything balanced. It's a fast-moving environment where priorities can shift daily, so we're looking for someone who thrives on structure one day and adapts the next. While the core focus is routine reconciliation, there's real room to get involved in automation projects once you're up to speed — and this role can also be a strong stepping stone into other teams at the company longer-term. What You Will Be Doing Own daily reconciliation monitoring — checking that cash held in the bank matches client balances in our systems, and flagging and investigating any breaks or mismatches as they arise Resolve reconciliation breaks end-to-end — determining whether an issue is internal (looping in engineering) or external (liaising directly with banks and third-party payment providers) and driving it to resolution Maintain reporting and month-end close — supporting vendor reporting, regulatory reporting, and other recurring reporting cycles with a high level of accuracy Work across data tools — using Excel alongside data visualization tools (Databricks, Metabase, or similar — Tableau/Power BI experience also welcome) to monitor and track reconciliation data Contribute to automation — gradually helping automate manual reconciliation processes using AI and other tools, reducing reliance on spreadsheets over time Handle occasional manual money transfers — with the accuracy and attention to detail this requires Manage stakeholders across the business — working with engineering, treasury, and external banking partners to keep processes running smoothly Who You Are You have hands-on experience in reconciliation, payment operations, or treasury operations (e.g. as a reconciliation specialist, payment analyst, or accountant with reconciliation exposure) You're comfortable with Excel and have some experience with data visualization/BI tools (Databricks, Metabase, Tableau, Power BI, or similar) You have a working understanding of payment schemes and how money moves between banks and internal systems — you know who to go to when something doesn't add up You're diligent and detail-oriented, especially when it comes to handling money movements You're used to fast-paced, frequently changing environments and can adapt when processes shift — this isn't a role with a fixed rulebook You have strong stakeholder management skills and are confident communicating with both internal teams and external partners (e.g. banks) You're able to start immediately or on very short notice You're open to a fixed-term contract (~5 months, with a real possibility of extension depending on business needs) Nice to Have Experience working at a neobank or fintech (e.g. N26 or similar) — you'll likely need less ramp-up time in a high-change environment A mathematical or quantitative background Prior experience helping build or improve automations within a reconciliation or payments workflow Basic SQL or data analysis skills

Location: Sofia Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Product Analyst Product Analyst is embedded within a product squad, providing analytical support to grow our two key marketplace platforms: the customer-facing platform and the partner-facing platform. The role involves deep analysis of user behavior, end-to-end analytics, and the planning and analysis of A/B tests. You will work in close collaboration with Product Managers to drive data-driven decisions, with a key focus on optimizing pricing strategies and identifying product growth opportunities. This position works end-to-end: clarifying problems, shaping metrics, partnering with DWH, building usable tools, and supporting adoption. The scope of the role is cross-regional. Tech Stack: Analytics/DWH: SQL, Python, Snowflake, Airflow, Looker, Amplitude, Google Analytics, Google Sheets, DataHub, Git, Statsig, DBT Application Platform: PostgreSQL, Ruby, Salesforce Project/Process Management: JIRA, Miro, Figma AI-Native: Claude, Spec-Driven Development How You’ll Contribute: Experimentation & A/B Testing: Partner with Product Managers and stakeholders to define the problem, success metrics, and hypotheses; propose experiments and measure impact on the business Own product A/B testing and the end-to-end product hypothesis pipeline, from ideation to analysis and implementation Formulate hypotheses for new product features, design A/B experiments, analyze results, and provide recommendations to improve user conversion and engagement Design and analyze A/B tests for different pricing models and strategies to maximize revenue while balancing conversion rate and bookings Analytics & Reporting: Build and maintain dashboards in Looker; ensure correctness of data, clarity, usability, and decision support Analyze product funnels, user behavior, and platform performance (activation, conversion, retention, pricing effects) to drive product growth, revenue, and margin Track lifecycle KPIs, trends, and customer feedback, and recommend actions Conduct in-depth product analysis and uncover insights not covered by self-service analytics Data Quality & Partnership: Specify data needs, validate data quality, and collaborate with DWH on marts and metrics Treat analytics as a product: start with “why,” simplify, and ensure usability and adoption What You’ll Bring to Xometry: Education: Bachelor’s or Master’s in Data Science, Computer Science, IT, Engineering, or a related field Experience: 3+ years in product analytics, ideally within B2B/B2C marketplaces Technical Skills: Strong SQL and Python; experience with BI tools (Looker, Tableau, Qlik, or similar); familiarity with Git, JIRA, Confluence, or equivalents Quantitative Skills: Solid foundations in probability and statistics; hands-on experience with statistical analysis and experimentation (hypothesis testing, A/B test design, power analysis), regression, and time-series analysis Nice to Have: Understanding of DWH concepts (design, data structures, ETL/ELT) and applied experience with Statsig or another A/B testing platform Soft Skills: Strong business sense, clear communication, structured thinking, attention to data quality, and the ability to decompose ambiguous asks into deliverables Curiosity: A track record of self-directed development in adjacent disciplines such as entrepreneurship, business administration, product, UX, machine learning, or human behavior and psychology is a strong plus Languages: Fluent English with strong communication skills is required; Russian is a big plus; German or another EU language is a plus Location: Sofia, Bulgaria Please apply with an English CV #LI-Hybrid #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Munich Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Product Analyst Product Analyst is embedded within a product squad, providing analytical support to grow our two key marketplace platforms: the customer-facing platform and the partner-facing platform. The role involves deep analysis of user behavior, end-to-end analytics, and the planning and analysis of A/B tests. You will work in close collaboration with Product Managers to drive data-driven decisions, with a key focus on optimizing pricing strategies and identifying product growth opportunities. This position works end-to-end: clarifying problems, shaping metrics, partnering with DWH, building usable tools, and supporting adoption. The scope of the role is cross-regional. Tech Stack: Analytics/DWH: SQL, Python, Snowflake, Airflow, Looker, Amplitude, Google Analytics, Google Sheets, DataHub, Git, Statsig, DBT Application Platform: PostgreSQL, Ruby, Salesforce Project/Process Management: JIRA, Miro, Figma AI-Native: Claude, Spec-Driven Development How You’ll Contribute: Experimentation & A/B Testing: Partner with Product Managers and stakeholders to define the problem, success metrics, and hypotheses; propose experiments and measure impact on the business Own product A/B testing and the end-to-end product hypothesis pipeline, from ideation to analysis and implementation Formulate hypotheses for new product features, design A/B experiments, analyze results, and provide recommendations to improve user conversion and engagement Design and analyze A/B tests for different pricing models and strategies to maximize revenue while balancing conversion rate and bookings Analytics & Reporting: Build and maintain dashboards in Looker; ensure correctness of data, clarity, usability, and decision support Analyze product funnels, user behavior, and platform performance (activation, conversion, retention, pricing effects) to drive product growth, revenue, and margin Track lifecycle KPIs, trends, and customer feedback, and recommend actions Conduct in-depth product analysis and uncover insights not covered by self-service analytics Data Quality & Partnership: Specify data needs, validate data quality, and collaborate with DWH on marts and metrics Treat analytics as a product: start with “why,” simplify, and ensure usability and adoption What You’ll Bring to Xometry: Education: Bachelor’s or Master’s in Data Science, Computer Science, IT, Engineering, or a related field Experience: 3+ years in product analytics, ideally within B2B/B2C marketplaces Technical Skills: Strong SQL and Python; experience with BI tools (Looker, Tableau, Qlik, or similar); familiarity with Git, JIRA, Confluence, or equivalents Quantitative Skills: Solid foundations in probability and statistics; hands-on experience with statistical analysis and experimentation (hypothesis testing, A/B test design, power analysis), regression, and time-series analysis Nice to Have: Understanding of DWH concepts (design, data structures, ETL/ELT) and applied experience with Statsig or another A/B testing platform Soft Skills: Strong business sense, clear communication, structured thinking, attention to data quality, and the ability to decompose ambiguous asks into deliverables Curiosity: A track record of self-directed development in adjacent disciplines such as entrepreneurship, business administration, product, UX, machine learning, or human behavior and psychology is a strong plus Languages: Fluent English with strong communication skills is required; Russian is a big plus; German or another EU language is a plus Location: Munich, Germany Please apply with an English CV #LI-Hybrid #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD This role owns how Higgsfield measures its product - from the first sign-up to whether people come back. You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing. You make sure: - Every product decision has a number attached to it before it ships and after it ships - Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work” - The events the product emits can be trusted; you own the definition, not just the query - A PM gets an answer in hours, not next sprint You are the person who decides what “it worked” means. WHAT YOU WILL DO Product measurement - Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment. - Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack. - Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it. - Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it. Experimentation - Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics. - Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity. - Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud. Product & monetization analysis - In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups. - Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model. - Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.” - Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters. Making it usable - Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive. - Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts. - Automate recurring reporting so your hours go to new questions, not refreshes. - Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax. WHO WE'RE LOOKING FOR We're looking for an analyst with opinions. You should have: - Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help. - Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily. - Real experimentation experience: you have designed tests, run them, and killed features with the results. - Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win. - Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits. - The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact. - Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change. - Clear written and spoken English, B2+. Backgrounds that often do well: - Product analysts from consumer subscription or PLG products - Growth/BI analysts who moved into product and stayed - Early-startup analysts who built product measurement from zero - Data scientists who got tired of models and want decisions WHAT THIS ROLE IS NOT This role is not a fit if you: - Wait for a ticket to tell you what to analyze - Want to build models more than you want to change decisions - Need a data engineering team and clean tables to exist before you can start - Would report a lift you don't believe in because a stakeholder wants it - Need perfect data before you can say anything useful - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Our Corporate teams support the company's performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo's Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo's success. ROLE We're looking for a Senior Finance Data & Systems Analyst – Pigment Lead, AI & BI to join our Corporate team. In this role, you'll be the internal expert and owner of our Pigment platform, while driving data, automation, and AI initiatives to elevate the Finance team's performance and service quality across FP&A and Accounting. - Progressively take full ownership of Pigment's rollout and upkeep, reducing dependency on the external service provider and becoming the go-to internal expert on the tool - Optimize platform configuration, drive integration development, and build a strategic roadmap to support consolidation and reporting needs across FP&A and Accounting - Design and implement, together with the Head of FP&A, a structured budgeting process in Pigment, including workflow, calendar, and contributor governance - Adapt and evolve Pigment use cases tied to the Accounting close process, in collaboration with the Head of Accounting - Establish robust operational controls, including disciplined change management and a comprehensive financial data governance framework (definitions, quality, single source of truth, access governance) - Lead data and automation projects beyond Pigment to improve Finance team performance, including self-service analytics, reconciliation automation, and variance analysis - Drive the deployment of AI agents to replace manual processes and enhance the Finance team's operational efficiency - Scope and contribute to building priority Finance dashboards (Looker, Tableau, Power BI, or similar), ensuring metric consistency across Pigment, BI, and Finance reporting - Develop and maintain documentation, training materials, and user support processes to champion best practices across the Finance team - Mentor and grow a junior analyst or intern, progressively delegating Pigment, data, or reporting responsibilities PROFILE - 5–8 years of experience in Finance Data, FP&A, or Finance Systems roles, ideally in consulting or a tech scale-up environment - Hands-on experience with a Pigment rollout or run, or a similar EPM tool (Anaplan, Adaptive Insights, Hyperion, etc.) - strongly preferred - Demonstrated ability to internalize a tool previously managed by an external service provider, with a mandate to build internal autonomy quickly - Comfortable working with FP&A, Accounting, and Data/IT stakeholders alike - Some experience with SQL or Python and BI tools (Looker, Tableau, Power BI, or similar) - Genuine enthusiasm for applying AI to Finance, including no-code/low-code tools, agents, and LLMs - Ability to structure a data governance approach at the scale of a Finance function - Familiarity with accounting close processes is a plus - Prior mentoring experience (junior analyst, intern, or apprentice) is a plus - Fluent in both French and English BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We’re hiring a Finance Operations Analyst to join our Finance team in London. You will run and improve the core operational processes that keep finance moving across our global entities, from supplier onboarding and invoice processing through to payment runs, expenses and reconciliations, and you’ll help us build an automated, well-controlled procure-to-pay process as we scale into manufacturing volumes. Accounts payable is the core of the role today, but this is deliberately a broad finance operations position rather than a purely transactional one. As the finance function grows, there will be opportunities to take ownership of additional accounting processes, including accounts receivable, reconciliations, month-end close and other areas of the finance function. You’ll help design the processes, not just run them. WHAT YOU’LL DO Finance Operations - Process supplier invoices end to end across multiple entities and currencies, including coding, approvals and matching to purchase orders. - Prepare and execute weekly multi-currency payment runs with clean approvals and a full audit trail. - Own supplier onboarding and vendor master data, including bank detail verification and compliance checks. - Administer employee expenses and corporate cards on our spend platform, driving policy adoption and timely receipts. - Manage supplier statements and queries, and act as the go-to contact for suppliers and internal teams. Accounting and Close - Deliver AP cutoff, accruals, aged creditors analysis and supplier statement reconciliations to the monthly close calendar. - Support bank reconciliations and other month-end close tasks, taking on more ownership as the function develops. - Work alongside the Senior Group Accountant to ensure operational data feeds cleanly into the group close. Analysis and Insight - Produce supplier spend and payment analysis, and AP ageing and working capital reporting to support cash management. - Identify opportunities to improve payment terms, purchasing controls and process efficiency, and support ad hoc finance reporting and analysis. Systems and Process - Use our spend and AP tooling, including its AI features, to drive touchless invoice processing. - Support the rollout of PO-based purchasing and three-way match as procurement volumes grow. - Support integrations between our spend tooling and ERP, and document processes and controls clearly as we build them. WHAT WE’RE LOOKING FOR - 2 to 4 years’ experience in finance operations, accounting or accounts payable, ideally within a fast-growing or multi-entity environment. - Experience with modern spend and AP platforms (for example Ramp, Payhawk or Tipalti) and ERP systems (SAP, NetSuite, Xero or similar). - Strong controls instincts, including accuracy, segregation of duties and a clean audit trail. - Comfortable with data and analysis, using spreadsheets and finance systems to spot trends, errors and opportunities. - Highly organised and process-driven, with the initiative to improve and document as you go. - Comfortable with high volume and ambiguity in a fast-scaling startup environment. - Ambition to grow beyond finance operations into broader accounting and finance responsibility. - An accounting qualification, or being on the journey towards one, is a plus and can be supported. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas to New Year shutdown). - Private healthcare, including virtual and in-person care. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier: collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership: direct access to leadership, meaningful input, and the ability to drive key initiatives from day one.

Readymag is a design tool for creating websites, landing pages, portfolios, magazines, editorials, and presentations. Remote work (GMT+1). Flexible working hours.

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+)

Location: Vancouver, Canada; Toronto, Canada; Calgary, Canada Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You Will Do: Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution Plan and design simple to semi-complex business processes and system modifications Make recommendations to improve and support business activities Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design Develop business requirements documents/user stories to support the required modifications May plan, allocate and monitor work of other business analysts Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills Assist in providing time estimates for project related tasks Aid in updating process and procedural documentation Develop basic understanding of technical development cycle of mobile application or web portals Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc. Any other task that may be assigned What We Need: Minimum 5 years of experience as Business Analyst A degree in Business, IT or any relevant field Previous experience working in the health insurance industry is required (insurtech experience is preferred) Health Insurance-related domain certification from INS/LOMA or III is an added advantage Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes Experience in an Agile and/or Scrum environment is a must Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow Excellent written and verbal communication skills in English Technical writing skills are a plus Must be based in Canada Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: USA - Remote Workplace: Remote 💫 This job description was written by a person   ABOUT US Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale. We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 130-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales. ABOUT THE ROLE Our GTM org has a lot of questions. Most of the questions we care about can’t be answered by spinning up a cute dashboard. Is branded search creating new customers or capturing demand that already existed? Did the homepage redesign improve conversion, or did our traffic mix change? If we’ve got some wild ideas for our next bet, where should the money go? These kinds of big-picture questions require someone who can interrogate the metric, trace it through the warehouse, understand the business context, and turn it into action. This person will be our first Full Stack Data Analyst dedicated to GTM. You’ll work alongside GTM leadership to make consequential decisions while still staying hands-on in the nitty gritty of all the data. The best part: the way we answer these questions is changing. Effective SQL is just a few tokens away, dashboards can be Claude-ed in minutes, and teammates increasingly expect to find their own answers. You’ll build the semantic layers, context, and guardrails that make self-service possible, even trustworthy, then determine where an analyst’s expertise is indispensable. YOU ARE - An experienced analyst. You have roughly 8 years of hands-on, highly technical analytics experience. Most importantly: you’re backed by the pattern recognition that comes with having seen all sorts of hairy problems. You’re at the point in your career where you can take an ambiguous business question, dive head-first into the data, turn your findings into a decision, and bring everyone else along with you. - A bridge between the technical and the business. You can build a model in dbt, work directly in Snowflake, and translate it into something actionable. You’ll partner closely with our Lead Analytics Engineer but you need to be willing and able to dive in and self-serve. - Fluent in the quirks of GTM data. Attribution, channel definitions, UTMs, bots and broken tracking are known quantities. You don’t need to have been a dedicated GTM Analyst, but you should certainly know your way around this part of the business. - Pushing the boundary of what AI means for analytics. AI is writing your first-draft SQL, analysis, and reporting and you’ve shifted that energy to bringing analysis into the future: building the semantic layers, context, and guardrails that let the team self-serve trustworthy answers. - A trusted cross-functional leader. Teammates across functions and levels listen to you. You immerse yourself in the context of their needs and bridge gaps in understanding. - Fiercely independent and accountable. You welcome a vague ask with aplomb. You’ll scope the problem, find the dependencies, bring in the right people, and drive the work through the analysis, recommendation…all the way to a fix. - More concerned with impact than output. A polished dashboard is useful only when it changes what we do. You prioritize the questions that can materially improve acquisition, conversion, retention, and revenue. YOU WILL - Make our GTM data trustworthy. You’ll define metrics, model the funnel from first touch through paid conversion, and reconcile discrepancies across Snowflake, Segment, Amplitude, GA4, and our ad platforms. - Explain what we’re seeing. Why are trials up while paid conversion isn’t? Why are Snowflake and Amplitude disagreeing? Which channel is driving volume but producing low-quality customers? You’ll dig into the data until we understand what changed and why. - Help decide what to do next. Are we on track to hit our goals? What would another investment in paid media produce? You’ll forecast, model the tradeoffs, and empower leadership to make the best possible decision. - Own the outcome. Whether you uncover something small like broken campaign tracking or you’re focused on moving a major business metric, you’ll bring in the right people and shepherd the team to the data-driven outcome. - Define the next era of Data at Close. You’ll help us move from a queue of reactive requests to a system where an agent spots changes, assembles the context, and gets the right insight to the right person at the right time. BENEFITS - Compensation: Competitive pay plus an organization-wide goal-based bonus - Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close. - 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay - Parental Leave: Paid leave for primary and secondary caregivers - Sabbatical: A 1-month paid sabbatical every 5 years with the team - Healthcare (US residents): Two medical plans with Close covering the majority of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability - 401k (US residents): We match your contributions up to 6%, vested immediately OUR VALUES Build a house you want to live in - Examine long-term thinking and action No BS - Practice transparency and honesty, especially when it’s hard Invest in each other - Build successful relationships with your coworkers and customers Discipline equals freedom - Keep your word to yourself and others Strive for greatness - Constantly challenge yourself and others LEARN MORE Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the $0-30m Blueprint https://www.close.com/blueprint.  Watch our culture video https://www.youtube.com/watch?v=maXKi1GN2MI from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany! Explore our product. Check out a demo https://www.close.com/demo-site! OUR HIRING PROCESS We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume. We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered. Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy. If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.

Location: Berlin, Germany Workplace: hybrid We are Kolibri Games - a mobile games developer from Berlin. We believe that with the best people, we can make games that players will enjoy for years to come. Our games have defined the idle genre, and bring enjoyment to hundreds of millions of players all around the world. This is possible due to the talented people who make us who we are. ‘Kolibris’, as we call ourselves, are on a mission to continue making great games and we're looking for new talent to join our team. We strive to offer you a fair recruitment process and a great candidate experience, as well as a friendly environment to work in, with plenty of opportunities to learn and grow. Game Data Analyst (f/m/d) Are you curious about what makes games engaging? Do you enjoy understanding not just what players do, but why they do it, and turning that understanding into clear, actionable insights? We are looking for a Game Data Analyst to strengthen our product analytics capabilities. In this role, you will combine strong analytical thinking with solid technical foundations to support multiple game teams over time.  This is an individual contributor role with a strong emphasis on data modeling, advanced analysis, and scalable analytical foundations. Responsibilities Partner with product and game teams to answer complex questions around player behavior, engagement, and progression Perform advanced analyses using SQL to uncover patterns and drivers behind player actions Design and analyze player segmentation and behavioral cohorts Design, implement, and evaluate A/B tests to measure feature performance, optimize player experiences, and guide data-informed decisions. Build and maintain reliable, analytics-ready data models (experience with dbt or similar tools) Ensure data quality, clarity, and documentation of key datasets and metrics Contribute to self-serve reporting and visualization Partner with cross-functional teams to align priorities, influence roadmap decisions, and ensure analytics is central to shaping the player experience. Collaborate with other analysts and data infrastructure team to improve analytical workflows and standards Required Skills 3+ years of experience in Data Analytics Proficiency in SQL and data visualization tools Experience working with complex datasets and analytical data models Ability to translate data into clear insights for both technical and non-technical audiences Curiosity, ownership, and eagerness to learn new tools and approaches Desirable Skills Experience with Looker and dbt Experience with Python or R for data analysis. Familiarity with data orchestration tools (e.g. Airflow) Background in games, free-to-play, or product analytics Kolibri Games is an equal opportunity employer. We come from 40 different countries and many different backgrounds. We celebrate diversity and we are committed to creating an inclusive environment for all employees, regardless of their age, gender identity, sexual orientation, ethnicity, religion, physical appearance or disability. We are an international studio, so don’t forget to send in your application in English. Although it is not mandatory, we always appreciate a cover letter stating your motivation to join us. We look forward to hearing from you! Your Benefits – We’re game to support you Competitive Salary - We believe that top performers should receive top payment Learning Budget - We believe in learning. A generous personal learning budget to spend on learning and development, including books, workshops and attending conferences. We also offer in-house training such as coding and German classes Flexible Working Hours and Home Office – We believe in a good work-life balance Equipment - State-of-the-art technical equipment, including laptops and phones, which may also be used in your free time Health and Fitness - We pay a contribution towards a monthly gym membership or a fitness activity Relocation - Relocation support to help you move to Berlin Pension - Opportunity to save for your pension tax-free Bonus Level – We love to have a good time, too Food and Drinks - Fresh fruits to keep you healthy and fresh coffee to keep you alert. We also have a fully stocked fridge with Smoothies, Coke, Club Mate, beer etc Parties and Team Events - Apart from our regular parties, BBQs and movie nights we also have a team event budget you can use to buy games or sports equipment to make working here even more fun Company Holidays - Every year we go on an amazing company holiday to relax and bond as a team Friday Celebrations - Company-provided dinner and drinks on Friday afternoons

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement. We are looking for a BA to join a team that develops high-load services for video streaming, both on the server side and on the UI side. Responsibilities Requirements Elicitation & Specification: Gather and validate requirements with stakeholders; translate them into clear, testable artifacts (epics/features, user stories/use cases, acceptance criteria, business rules, edge cases, etc.). Use appropriate modeling (flows, state/decision logic, process models) when it improves clarity. Requirements Lifecycle Management: Maintain requirements throughout delivery — manage changes, document decisions and assumptions. Knowledge Base Ownership: Create and maintain a structured, searchable knowledge base for product behavior and business rules; ensure documentation is accurate, current, and consistently organized. Cross-functional Communication & Alignment: Serve as the primary bridge between Product and Engineering; drive alignment across Product, Design, QA, and Tech on scope, risks, dependencies, and constraints. Communicate complex logic with maximum clarity and minimal context loss. Quality & Validation Support: Support delivery quality by reviewing scenarios and acceptance criteria, collaborating with QA, and participating in validation of shipped features against intended requirements. AI-Assisted Analysis: Use AI tools (LLMs) to improve speed and quality of BA work (drafting and refining requirements, consistency checks, scenario generation, documentation maintenance), while applying rigorous verification and maintaining accountability for correctness. You’ll thrive here if you have Experience: 5+ years as a Business Analyst in product development, working closely with cross-functional delivery teams. Strong BA Craft: Demonstrated ability to structure ambiguous problems, define business rules, and produce clear, testable requirements with appropriate depth. Analytical Speed: Ability to quickly understand existing complex product logic, identify gaps and risks, and document behavior in a way that is usable by both technical and non-technical stakeholders. Documentation Excellence: Strong, structured writing skills; ability to create documentation that is concise, consistent, and easy to navigate and maintain over time. AI Proficiency: Practical experience using modern AI/LLM tools in day-to-day analysis work to increase throughput and improve quality (not just basic prompting). Stakeholder Management: Ability to influence without authority, facilitate discussions, and drive decisions in a fast-paced environment with changing priorities. English: Upper-Intermediate (B2) or higher; documentation and discussions are conducted in English. Conditions We know that great talent deserves great conditions, so here’s what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family. Corporate mobile plan (unlimited in Cyprus with roaming included). Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (40 min); Test task; Technical interview (1.5 hours); Final interview (1 hour); Recommendations check; Job Offer.

Location: Philippines Want a role where you actually build in-demand tech and data skills? At H!KINEX , we help motivated people gain real-world experience working with U.S.-based legal and professional services teams. You’ll work with real data, real projects, and real deadlines — not simulations or busy work. This role is ideal for someone who enjoys working behind the scenes, solving problems, and making sure details are done right. You’ll learn how eDiscovery works in real legal environments while building strong technical, analytical, and compliance-focused skills. As an eDiscovery Data Analyst , you’ll support the preparation, processing, and management of digital data used in litigation and legal review. You’ll work closely with internal teams and clients to ensure data is accurate, secure, and delivered on time. This role is for people who want to grow, learn specialized skills, and build experience that actually transfers long-term. Why You’ll Love Working Here You’ll gain hands-on experience with real eDiscovery tools and legal data You’ll work with U.S.-based teams and real client projects You’ll develop strong attention to detail, data management, and problem-solving skills You’ll get clear processes, guidance, and support — not guesswork You’ll be part of a team that values learning, accountability, and growth What You’ll Be Doing Prepare and process electronically stored information (ESI) for legal review platforms Handle sensitive client data for litigation, analytics, and hosted review Support and maintain multiple databases and projects while following strict security and confidentiality standards Migrate data to secure, online platforms used by legal teams Troubleshoot processing and database issues until a full resolution is achieved Double-check data accuracy and ensure all client and project requirements are met Communicate regularly with internal teams to keep projects moving and on track Meet deadlines and ensure data deliverables are accurate and high quality Stay up to date on eDiscovery standards, tools, and technologies What We’re Looking For Experience as an eDiscovery Analyst (law firm or eDiscovery vendor experience is a plus) Strong English communication and comprehension skills Programming or technical experience is a plus, but not required Comfortable working graveyard shifts (weekends off) Detail-oriented, organized, and willing to dig into problems until they’re solved Ready to Apply? If you’re detail-focused, curious about legal tech and data, and want to build real-world skills while working remotely with U.S.-based teams, we’d love to hear from you. At H!KINEX , you’ll find a supportive, growth-focused environment where effort is noticed, feedback is real, and development actually happens — all while working from home and collaborating with experienced professionals.