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.
УдалённоseniorГрафик: с 10:00 до 19:00 по времени Кипра
Location: California; Sunnyvale, CA; San Francisco Bay Area, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Washington, D.C.; Los Angeles, CA; Chicago, IL; Boston, MA
Workplace: onsite
Overview
Welo Data is hiring Portuguese (Portugal)-speaking analysts to support our Speech & Voice AI team. You’ll help build high-quality audio, speech, and language datasets that power production AI systems.
Role details
Employment: W2, full-time (40 hrs/week)
Location: 100% onsite only; must commute to one of: NYC; Seattle/Bellevue/Redmond; SF Bay Area (San Francisco, Sunnyvale, Burlingame); Austin; Los Angeles; Washington DC; Chicago; Boston
Pay: $26–$28/hour, depending on location and experience
What you’ll do
Label and annotate speech/voice data (transcription, tagging, categorization)
Follow clear guidelines to ensure accuracy and consistency at scale
Maintain strong throughput while meeting quality targets
Escalate unclear cases and adapt to evolving instructions
Participate in team calibrations for quality alignment
What we’re looking for
Native-level fluency in
Portuguese (Portugal)
Strong written communication and language fundamentals
1+ year in labeling/annotation/content-quality work, or a related Bachelor’s degree
High attention to detail; comfort with structured, repetitive workflows
US work authorization required (no visa sponsorship)
Benefits
Paid vacation: 6 days; Company holidays: 2 (Memorial Day, Labor Day); Sick leave per state law
Medical, dental, vision (eligibility applies); HSA; 401(k); EAP; additional voluntary benefits
Onsite perks where available: free meals, stocked micro-kitchens, commuter options, unique campus amenities
ОфисCalifornia; Sunnyvale, CA; San Francisco Bay Area, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Washington, D.C.; Los Angeles, CA; Chicago, IL; Boston, MA
Location: California; Sunnyvale, CA; San Francisco Bay Area, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Washington, D.C.; Los Angeles, CA; Chicago, IL; Boston, MA
Workplace: onsite
Overview
Welo Data is hiring Croatian-speaking analysts to support our Speech & Voice AI team. You’ll help build high-quality audio, speech, and language datasets that power production AI systems.
Role details
Employment: W2, full-time (40 hrs/week)
Location: 100% onsite only; must commute to one of: NYC; Seattle/Bellevue/Redmond; SF Bay Area (San Francisco, Sunnyvale, Burlingame); Austin; Los Angeles; Washington DC; Chicago; Boston
Pay: $26–$28/hour, depending on location and experience
What you’ll do
Label and annotate speech/voice data (transcription, tagging, categorization)
Follow clear guidelines to ensure accuracy and consistency at scale
Maintain strong throughput while meeting quality targets
Escalate unclear cases and adapt to evolving instructions
Participate in team calibrations for quality alignment
What we’re looking for
Native-level fluency in
Croatian
Strong written communication and language fundamentals
1+ year in labeling/annotation/content-quality work, or a related Bachelor’s degree
High attention to detail; comfort with structured, repetitive workflows
US work authorization required (no visa sponsorship)
Benefits
Paid vacation: 6 days; Company holidays: 2 (Memorial Day, Labor Day); Sick leave per state law
Medical, dental, vision (eligibility applies); HSA; 401(k); EAP; additional voluntary benefits
Onsite perks where available: free meals, stocked micro-kitchens, commuter options, unique campus amenities
ОфисCalifornia; Sunnyvale, CA; San Francisco Bay Area, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Washington, D.C.; Los Angeles, CA; Chicago, IL; Boston, MA
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Location: ES - Barcelona, Spain
Scopely is looking for a
Talent Tech Analyst
to join our People Technology team in Barcelona on a hybrid basis, working 3 days a week from the hub.
At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.
What You Will Do
In this role, you will be the technical administrator for the company’s Applicant Tracking System. You will provide technical expertise and support to ensure the People Team’s processes maintain efficiency and optimise the company’s evolving business. You will be a key member of a global HR technology team, representing the interests of the business teams in design and support.
Support the day-to-day operations and administration of Greenhouse (ATS) within the People Tech team
Troubleshoot and resolve system-related issues raised by Talent Acquisition and Talent Operations teams
Assist with configuration and maintenance activities in Greenhouse, including workflows, permissions, templates, and system settings
Assist with testing new system features, integrations, and process enhancements prior to rollout
Support system maintenance activities, including monitoring system behavior, reviewing errors, and assisting with data and permission audits
Maintain and update internal People Tech documentation, including system processes, configuration records, and technical documentation
Partner with cross-functional teams to ensure system processes and documentation remain accurate and up to date
Help support system-related aspects of training materials and user enablement resources
Assist with ensuring data accuracy and compliance with defined system processes and standards
Provide support across additional People Systems, including Workday, as needed
Contribute to ongoing improvements and optimization initiatives across Talent Acquisition and People systems
What We’re Looking For
1–3 years of experience supporting HR systems, Applicant Tracking Systems, or similar business systems
Strong attention to detail, with the ability to manage tasks accurately in a fast-paced environment
Comfortable troubleshooting system issues and supporting end users with day-to-day questions
Interest in HR technology, systems, and process improvement
Intermediate Excel or Google Sheets skills, including pivot tables, lookups, and data validation
Strong written and verbal communication skills, with the ability to collaborate effectively across teams
Ability to prioritize multiple requests, take ownership of assigned work, and follow through to resolution
Sound judgment and discretion when handling confidential or sensitive information
Bonus Points
Experience supporting additional HR systems, such as Workday
Experience working with Greenhouse or another Applicant Tracking System
Basic understanding of system configurations, workflows, permissions, or data management concepts
Please submit your CV in English.
At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!
This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: Remote
Workplace: Remote
Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.
Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.
Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success.
[https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg]
We are looking for a Senior Payments Analyst to drive analytical decision-making across our payments product. This role focuses on understanding user behavior within the payment funnel, identifying conversion bottlenecks, and translating data into product improvements.
You will work with high-scale transactional data, analyzing how users move from checkout to successful payment and where friction occurs. The role requires a strong experimental mindset and the ability to connect data insights to product decisions.
KEY RESPONSIBILITIES
Funnel Analysis and Optimization
- Analyze user behavior across the payment funnel and identify conversion bottlenecks
- Quantify the impact of drop-offs and uncover opportunities to improve conversion and user experience
- Translate analytical findings into actionable product recommendations
Experimentation and Product Insights
- Design and evaluate A/B tests in partnership with Product teams
- Define hypotheses, success metrics, and measurement frameworks
- Monitor product performance through dashboards, reporting, and ongoing analysis
Cross-functional Collaboration
- Partner with Product and Engineering teams to support data-driven decision-making
- Help prioritize product initiatives based on business impact and analytical evidence
REQUIRED QUALIFICATIONS
- 5+ years of experience in Product Analytics, Growth Analytics, Data Analytics, or similar roles
- Strong SQL skills and experience analyzing product, behavioral, or transactional data
- Experience with A/B testing, experimentation, and statistical analysis
- Strong understanding of conversion funnels, user behavior, and product metrics
- Ability to translate data into actionable product recommendations
- Experience using AI tools for analysis, research, and workflow automation
PREFERRED QUALIFICATIONS
- Experience working with payments and transactional data
- Strong understanding of checkout flows and conversion optimization
- Experience in gaming, fintech or e-commerce
WHY JOIN US
- World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players
- High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months
- Autonomy and ownership – we trust people to make decisions, take initiative, and drive results
- Modern tools and technology – use AI, automation, and modern tools as part of your everyday work
- Equity – participate in the company's growth and long-term success
Location: Remote
Workplace: Remote
Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.
Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.
Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success.
[https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg]
We are looking for a Senior Fraud Risk Analyst to support fraud detection and risk monitoring across high-scale payment systems. This role focuses on identifying fraud patterns, investigating anomalies, and improving the reliability of payment operations.
You will work with large volumes of transactional and behavioral data, analyzing fraud signals and supporting the development of detection mechanisms. The role requires a structured, data-driven approach and the ability to respond quickly to emerging risks.
KEY RESPONSIBILITIES
Fraud Detection and Investigation
- Analyze transaction data to identify fraud patterns, anomalies, and emerging risks
- Monitor key fraud and payment metrics, including fraud rate, chargeback rate, and approval rate
- Investigate fraud incidents ranging from individual cases to large-scale coordinated attacks
Risk Monitoring and Prevention
- Build dashboards and reports to support real-time fraud monitoring and decision-making
- Evaluate fraud controls and contribute to the development and optimization of detection models
- Drive automation of fraud detection, monitoring, and investigation workflows
Cross-functional Collaboration
- Partner with Engineering, Payments, and Operations teams to investigate fraud-related issues and improve risk management processes
- Provide actionable insights and recommendations to support incident response and fraud prevention initiatives
REQUIRED QUALIFICATIONS
- 5+ years of experience in fraud, risk, payments, or data analytics
- Strong SQL skills and experience working with large transactional datasets
- Ability to identify patterns, investigate anomalies, and derive actionable insights
- Experience using AI tools for analysis and automation
PREFERRED QUALIFICATIONS
- Python
- Fintech or gaming experience
WHY JOIN US
- World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players
- High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months
- Autonomy and ownership – we trust people to make decisions, take initiative, and drive results
- Modern tools and technology – use AI, automation, and modern tools as part of your everyday work
- Equity – participate in the company's growth and long-term success
Задачи:
— Анализировать end-to-end процессы кредитных рисков;
— Выявлять процессные и технологические ГЭПы;
— Анализировать стратегии принятия решений (rules, cut-off, сегментация);
— Документировать бизнес-процессы и логику автоматизированных систем рисков;
— Формировать и декомпозировать задачи на доработку процессов и стратегий;
— Участвовать в оценке влияния изменений совместно с командой;
— Согласовывать решения с портфельными менеджерами и риск-технологами;
— Участвовать в планировании релизов и контролировать корректность реализации требований;
— Уточнять и структурировать бизнес-требования по новым инициативам.
Требования:
— Опыт работы бизнес-, системным или риск-аналитиком от 4–5 лет;
— Опыт работы в банках, финтехе или кредитных рисках;
— Понимание полного кредитного процесса (заявка ➡️ решение ➡️ выдача);
— Понимание скоринговых моделей, cut-off стратегий и клиентской сегментации;
— Опыт работы с decision engine / rule-based системами;
— Навыки анализа, декомпозиции и оптимизации сложных процессов;
— Умение выявлять логические противоречия и скрытые проблемы;
— Опыт описания бизнес-процессов и бизнес-логики;
— Уверенное владение BPMN, схемами процессов и структурированным описанием требований;
— Базовые знания SQL;
— Опыт взаимодействия с бизнесом, риск-технологами и командами разработки;
— Навыки программирования на базовом уровне будут преимуществом.
Плюсом будет:
— Опыт работы с кредитными decision engine;
— Опыт участия в развитии систем автоматического принятия решений;
— Понимание архитектуры риск-систем и процессов кредитного конвейера.
Location: Dhahran, Saudi Arabia; Al Khobar, Saudi Arabia
Eram Talent is looking for a detail-oriented and proactive Media Monitoring Analyst to join our team in Saudi Arabia. In this role, you will be responsible for tracking, analyzing, and reporting on media coverage relevant to our clients and industry sectors. The ideal candidate will have strong analytical skills, a keen eye for detail, and the ability to provide insightful media intelligence that supports strategic decision-making.
Key Responsibilities
Monitor and analyze media coverage and news trends.
Identify and escalate critical media issues.
Respond to and track media inquiries.
Prepare media monitoring and impact reports.
Utilize media monitoring tools and platforms.
Support Media Relations and crisis communication activities.
Requirements
Bachelor’s degree in: Communications, Public Relations, Journalism, Media Studies, Digital Communications, Business Administration or Related field
Minimum of 3 years of experience in media monitoring, analysis, or a related role.
Experience
Minimum 3 year of experience in Media Monitoring, Communications, Public Relations, Journalism, or News Analysis.
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Customer Experience runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that.
As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the Customer Experience org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with Customer Experience leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale.
This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace.
WHAT YOU'LL DO
- Own recurring reporting for Customer Experience — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences
- Translate support data into clear narratives: what's happening, why, and what to do about it
- Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time
- Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance
- Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need
- Work with Harvey's central data team to connect support data to broader product and customer data sources
- Identify and close data collection gaps — if we can't measure it, help define how we should
- Design feedback loops that connect support signals to Product, Engineering, and Customer Success
- Quantify the operational cost of product bugs, feature gaps, and onboarding failures
- Contribute to QA analytics as the QA program matures
- Track ticket deflection, AI/chatbot performance, and self-service effectiveness
- Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools
- Support ad hoc analytical requests from the Support Operations Manager, Customer Experience leadership, and senior stakeholders
WHAT YOU HAVE
Required
- 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function
- Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't
- SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas)
- Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent
- Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly
- Strong data storytelling — you don't just present numbers, you write the narrative
- Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at
Strong Plus
- Experience with Python for data manipulation or automation
- Familiarity with dbt or similar data transformation tooling
- Experience building or contributing to QA analytics programs
- Background supporting enterprise SaaS or AI-native products
- Experience working with Zendesk APIs or extracting data beyond standard reporting
Key Attributes
- AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier
- Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask
- Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong
- Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself
- Ownership: you treat Customer Experience analytics as your problem to solve, not a ticket queue to process
COMPENSATION
$112,000 - $168,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-ML1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Remote
Workplace: Remote
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Customer Experience runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that.
As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the Customer Experience org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with Customer Experience leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale.
This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace.
WHAT YOU'LL DO
- Own recurring reporting for Customer Experience — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences
- Translate support data into clear narratives: what's happening, why, and what to do about it
- Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time
- Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance
- Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need
- Work with Harvey's central data team to connect support data to broader product and customer data sources
- Identify and close data collection gaps — if we can't measure it, help define how we should
- Design feedback loops that connect support signals to Product, Engineering, and Customer Success
- Quantify the operational cost of product bugs, feature gaps, and onboarding failures
- Contribute to QA analytics as the QA program matures
- Track ticket deflection, AI/chatbot performance, and self-service effectiveness
- Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools
- Support ad hoc analytical requests from the Support Operations Manager, Customer Experience leadership, and senior stakeholders
WHAT YOU HAVE
Required
- 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function
- Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't
- SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas)
- Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent
- Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly
- Strong data storytelling — you don't just present numbers, you write the narrative
- Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at
Strong Plus
- Experience with Python for data manipulation or automation
- Familiarity with dbt or similar data transformation tooling
- Experience building or contributing to QA analytics programs
- Background supporting enterprise SaaS or AI-native products
- Experience working with Zendesk APIs or extracting data beyond standard reporting
Key Attributes
- AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier
- Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask
- Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong
- Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself
- Ownership: you treat Customer Experience analytics as your problem to solve, not a ticket queue to process
COMPENSATION
$112,000 - $168,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-ML1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Customer Experience runs on data — but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that.
As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the Customer Experience org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars — cSAT, TTR, QA scores, escalation rates — and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with Customer Experience leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale.
This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace.
WHAT YOU'LL DO
- Own recurring reporting for Customer Experience — weekly, monthly, and QBR-ready — tailored to ops, leadership, and cross-functional audiences
- Translate support data into clear narratives: what's happening, why, and what to do about it
- Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time
- Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance
- Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need
- Work with Harvey's central data team to connect support data to broader product and customer data sources
- Identify and close data collection gaps — if we can't measure it, help define how we should
- Design feedback loops that connect support signals to Product, Engineering, and Customer Success
- Quantify the operational cost of product bugs, feature gaps, and onboarding failures
- Contribute to QA analytics as the QA program matures
- Track ticket deflection, AI/chatbot performance, and self-service effectiveness
- Measure the impact of AI-driven support — containment rate, escalation rate from AI interactions, resolution quality — and surface findings that drive how we tune and invest in those tools
- Support ad hoc analytical requests from the Support Operations Manager, Customer Experience leadership, and senior stakeholders
WHAT YOU HAVE
Required
- 3–5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function
- Fluency in support platform data — you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't
- SQL proficiency — you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas)
- Dashboard experience — you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent
- Reporting for multiple audiences — you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly
- Strong data storytelling — you don't just present numbers, you write the narrative
- Comfort operating solo — you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at
Strong Plus
- Experience with Python for data manipulation or automation
- Familiarity with dbt or similar data transformation tooling
- Experience building or contributing to QA analytics programs
- Background supporting enterprise SaaS or AI-native products
- Experience working with Zendesk APIs or extracting data beyond standard reporting
Key Attributes
- AI-native: you use AI tooling actively in your analytical workflows — not as a novelty, but as a force multiplier
- Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask
- Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong
- Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself
- Ownership: you treat Customer Experience analytics as your problem to solve, not a ticket queue to process
COMPENSATION
$112,000 - $168,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-ML1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Remote - USA
We are seeking a Senior Compensation & Stock Analyst who will serve as a key driver of the evolution of our compensation function through the strategic application of artificial intelligence (AI). This role will blend deep compensation expertise with AI fluency to modernize processes, improve efficiency, drive transparency, and generate insights that enhance decision-making and compensation administration.
This individual will support compensation strategy and administration across the organization while leading initiatives that embed AI within our compensation practice. The role will serve as a subject matter expert supporting Clover’s equity compensation programs, partnering closely with Legal, Finance, Payroll, HR, and external vendors to ensure operational excellence, compliance, and a positive employee experience.
As a Senior Compensation & Stock Analyst, you will:
Advance compensation transparency and understanding across Clover and enhance manager decision-making through creative application of AI
Leverage AI tools (e.g., ChatGPT, Claude) to improve compensation workflows, automate data analysis, and strengthen reporting and insights generation
Identify and implement AI-driven solutions to automate compensation processes such as salary survey submissions, job leveling, salary band assignment, and compensation analytics
Drive advancement of the People Operations team’s AI maturity by testing, piloting, and scaling new tools and methodologies across functions
Develop and document compensation policies, practices, and AI-enabled workflows that improve efficiency and scalability
Administer the compensation structure and job architecture, providing expert compensation guidance, execution, and education
Collaborate with HR Business Partners, recruiters, and managers to develop and implement targeted compensation solutions including guidance for new hires, promotions, retentions, and ad-hoc compensation adjustments
Lead end-to-end planning and execution of the annual compensation cycle, bonus cycle, and support annual and off-cycle equity grant processes
Support administration of Clover’s equity programs, including annual refresh grants, new-hire grants, promotional grants, and ESPP administration
Partner with Legal, Finance, Payroll, HRIS, and external equity administration providers to support compliance with SEC regulations, tax reporting requirements, accounting treatment, and internal controls
Support statutorily required auditing, reporting, reconciliations, and documentation related to equity compensation programs and stock administration
Assist with preparation of analyses, modeling, and materials for senior executives and the Compensation Committee/Board of Directors related to compensation and equity programs
Help maintain equity compensation guidelines, governance documentation, and employee education materials
You should get in touch if:
You have 5+ years of relevant compensation experience, including experience guiding stock administration and associated regulatory compliance requirements within a public-company environment
Advanced proficiency with a variety of AI tools and demonstrated experience leveraging such tools to improve business processes and decision-making
Experience identifying opportunities for automation, process optimization, and scalable workflow design within HR or compensation functions
Experience partnering with Legal, Finance, Payroll, HRIS, and external vendors on equity administration, taxation, accounting, and compliance matters
Hands-on experience with compensation and HRIS systems (e.g., Excel, ADP Workforce Now, Pave, E*Trade, Workday, Shareworks, Carta, Fidelity)
Strong analytical, organizational, communication, and presentation skills
Proven experience with quantitative and qualitative research methods
Benefits Overview
:
Financial Well-Being
: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
Physical Well-Being
: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
Mental Well-Being
: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
Professional Development
: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
Additional Perks:
Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
Reimbursement for office setup expenses
Monthly cell phone & internet stipend
Remote-first culture, enabling collaboration with global teams
Paid parental leave for all new parents
And much more!
About Clover:
We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.
We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.
From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
#LI-REMOTE
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an
E-Verify
company.
Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.
A reasonable estimate of the base salary range for this role is:
$92,000
—
$120,000 USD
Location: Miami, United States
Workplace: hybrid
Location:
Miami, FL
Work Model:
Hybrid (regular attendance in the Miami office approximately 1–2 days per week, subject to business needs)
Level:
Senior Individual Contributor
Experience:
Minimum 5 years of relevant compliance experience
About The Role:
Paysend is seeking an experienced Senior Compliance Analyst to support its North American Compliance Program across both the United States and Canada.
Operating within the second line of defense, the Senior Compliance Analyst will play a critical role in supporting the Company's regulatory compliance, financial crime compliance, regulatory reporting, examination readiness, remediation management, compliance monitoring, and risk management activities. The role will support compliance with applicable U.S. and Canadian regulatory requirements, including the Bank Secrecy Act (BSA), USA PATRIOT Act, FinCEN regulations, OFAC sanctions requirements, state money transmission laws, FINTRAC requirements, the Proceeds of Crime (Money Laundering) and Terrorist Financing Act (PCMLTFA), the Retail Payment Activities Act (RPAA), and sponsor-bank oversight obligations.
The successful candidate will act as an initiative owner for key compliance deliverables and remediation workstreams, helping ensure that Paysend maintains an effective, scalable, and sustainable compliance framework capable of withstanding regulatory review as the business continues to grow across North America.
The role requires strong analytical skills, regulatory knowledge, investigative capabilities, sound judgment, and the ability to operate independently in a fast-paced fintech environment.
What You'll Do (Responsibilities):
Financial Crime Compliance
• Review and investigate transaction monitoring alerts, sanctions screening alerts, unusual activity referrals, and escalated compliance cases.
• Conduct risk-based investigations using customer, transaction, behavioral, geographic, and typology data to identify suspicious activity and determine appropriate disposition in accordance with internal policies and regulatory requirements.
• Escalate potential AML, fraud, sanctions, or regulatory concerns as appropriate and maintain complete documentation supporting investigative conclusions.
• Prepare and support Suspicious Activity Reports (SARs), continuing activity reviews, and other regulatory reporting obligations while ensuring adherence to regulatory deadlines and internal service standards.
• Support sanctions compliance activities, including OFAC screening reviews, true-match analysis, reporting, testing, tuning, and control validation.
Regulatory Compliance & Governance
• Support compliance with applicable U.S. and Canadian regulatory requirements, including money transmission, AML/ATF, sanctions, payment services, licensing, and sponsor-bank obligations.
• Assist with the development, implementation, and maintenance of compliance policies, procedures, controls, regulatory inventories, compliance calendars, and change management initiatives.
• Support preparation and submission of regulatory reports, filings, licensing activities, and sponsor-bank compliance reporting requirements.
Canadian Compliance Support
• Support the Canadian AML/ATF Compliance Program, including FINTRAC reporting, customer due diligence, enhanced due diligence, sanctions compliance, and policy maintenance activities.
• Support implementation and ongoing maintenance of the Retail Payment Activities Act (RPAA) compliance framework, including operational risk management, issue tracking, corrective actions, and regulatory evidence management.
Regulatory Examinations, Audits & Remediation
• Support regulatory examinations, audits, independent reviews, sponsor-bank reviews, and network assessments by coordinating information requests, documentation, and regulatory responses.
• Assist with remediation activities, Management Action Plans (MAPs), corrective action tracking, validation, and closure of regulatory, audit, and independent review findings.
Compliance Monitoring, Testing & Risk Management
• Execute compliance monitoring, testing, and quality assurance reviews across AML, sanctions, investigations, regulatory reporting, and broader compliance activities.
• Assess control effectiveness, identify emerging regulatory, financial crime, fraud, and operational risks, and recommend enhancements to systems, controls, procedures, and workflows.
• Support compliance metrics, management reporting, governance reporting, and enterprise risk assessment activities.
Regulatory Requests & Cross-Functional Collaboration
• Support responses to regulatory inquiries, subpoenas, requests for information (RFIs), law enforcement requests, and 314(a)/314(b) information-sharing activities.
• Partner with Compliance, Risk, Fraud, Operations, Product, Legal, Customer Support, and Technology teams to implement compliance initiatives, communicate risks and findings, and support business growth while maintaining regulatory compliance.
What You’ll Need To Be Successful In This Role:
Bachelor's degree in Business, Finance, Accounting, Criminal Justice, Law, Compliance, Risk Management, or a related field.
Minimum 5 years of experience in AML/BSA, sanctions, financial crime compliance, regulatory compliance, compliance monitoring, or risk management.
Experience working within a fintech, payments, remittance, money services business (MSB), bank, or regulated financial services environment.
Experience conducting investigations, sanctions reviews, and regulatory reporting activities.
Experience supporting regulatory examinations, audits, independent reviews, or remediation programs.
Strong understanding of risk-based compliance frameworks and financial crime compliance controls.
Skills & Competencies
Strong analytical and investigative capabilities.
Excellent written communication and report-writing skills.
Ability to prepare regulator-defensible documentation.
Strong organizational and project management skills.
Ability to manage multiple priorities and deadlines simultaneously.
Sound judgment and risk-based decision-making abilities.
Strong attention to detail and quality standards.
Ability to work independently with limited supervision.
Ability to influence stakeholders and drive remediation initiatives to completion.
Work Authorization
Applicants must be legally authorized to work in the United States at the time of application and throughout employment. Visa sponsorship is not available for this position.
Reasonable Accommodation
Paysend is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the recruitment process and employment. Applicants requiring accommodation to participate in the application or interview process should contact the Talent Acquisition team.
Equal Employment Opportunity
Paysend is an Equal Opportunity Employer and is committed to creating an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship status where protected by law, or any other characteristic protected by applicable federal, state, or local law.
Additional Information
Employment with Paysend is contingent upon successful completion of applicable pre-employment screening, which may include employment verification, education verification, reference checks, and background screening, where permitted by applicable law.
Personal information submitted during the recruitment process will be processed in accordance with applicable privacy laws and Paysend's Applicant Privacy Notice.
Why Join Paysend?
Make a Global Impact:
Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally.
Own Meaningful Outcomes:
We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand.
Grow with Us:
As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies.
Collaborate with Exceptional People:
Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers.
Move Fast and Make Things Happen:
We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results.
Be Part of Our Journey:
We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.
Location: Dammam, Saudi Arabia
Eram Talent is seeking a detail-oriented and analytical Financial Analyst to join our team in Saudi Arabia. The successful candidate will play a vital role in analyzing financial information, preparing reports, and supporting business decisions to drive the company's financial performance and growth. This position requires strong analytical skills, attention to detail, and the ability to work collaboratively across departments.
Key Responsibilities
Provide financial and commercial analysis to support senior management decision-making.
Review and analyze affiliate board materials and prepare management briefings.
Conduct financial analysis, due diligence, and investment evaluations.
Review impairment assessments and acquisition-related financial analyses.
Support financial reporting and IFRS compliance requirements.
Coordinate with internal stakeholders and subject matter experts on affiliate-related matters.
Ensure compliance with corporate governance policies and frameworks.
Prepare reports, presentations, and recommendations for senior management.
Mentor and support junior team members as required.
Requirements
Bachelor's Degree in Accounting or Finance.
Professional certification such as CPA, CA, or CFA.
Minimum 10–15 years of relevant experience in finance, accounting, financial analysis, consulting, or corporate advisory roles.
Strong knowledge of International Financial Reporting Standards (IFRS).
Experience in financial analysis, financial reporting, and corporate governance.
Excellent verbal and written communication skills in English.
Proven ability to prepare and present reports to senior management.
Strong stakeholder management and influencing skills.
Ability to manage multiple priorities and work independently.
Experience working in a multicultural environment.
Preferred Industry Experience
Oil & Gas
Petrochemicals / Chemicals
Industrial Sector
Power Generation
Preferred Qualifications
MBA or other advanced business degree.
Big 4 accounting or consulting firm experience.
Location: Czechia
We are looking for a Data Analyst with expertise in spectroscopy (NIR required), chemometrics, and multivariate data analysis to support the monitoring, validation, and maintenance of authentication models, working closely with Data Scientists in a regulated environment.
Requirements
Strong background in spectroscopy and chemometrics (NIR mandatory; Raman / FTIR as a plus)
Proven experience in multivariate analysis and chemometric modelling (PCA, PLS‑DA, classification models)
Ability to monitor, interpret, and maintain model performance across spectral libraries
Hands‑on experience with ideally Python‑based data analysis (e.g. Jupyter notebooks, NumPy, SciPy, scikit‑learn)
Experience working with validated / regulated environments and producing inspection‑ready documentation
Candidates must declare criminal record extract not older than three months
Key Responsibilities (scope‑focused):
Interpret and monitor performance of authentication models within the spectral library
Support creation and review of model snapshots, including associated metadata checks
Collaborate closely with Data Scientists and technical teams on model refinement and updates
Contribute to model validation, release, and maintenance in support of Authentifield operations
Document methods, decisions, and changes in line with governance and compliance expectations
Data Science team coordination
Benefits
Broad range of activities, tasks, and projects
Flexible working conditions
Minimum 5 weeks of vacation
Paid sick days
Meal vouchers
Vouchers (B-day voucher, wedding, and new born surprise)
Contributions to wellness programs (multisport card)
Fishing for Friends program – our referral program
Refreshments in the D-ploy office
Further development and professional advancement
Friendly and international working environment
Company-sponsored events
Competitive salary and various benefits
Location: Madrid, Spain; Barcelona, Spain; València, Spain
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 insurance industry is required
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 fluent in Spanish
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: Lincolnshire, IL
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
THE OPPORTUNITY:
KPI Strategy, Governance & Performance Optimization
Assess and enhance existing KPIs to ensure alignment with strategic business objectives
Lead the design, implementation, and ongoing governance of performance metrics
Proactively identify revenue risks, performance gaps, and growth opportunities
Analyze structural drivers of high performance and recommend scalable best practices
Performance
Audit & Controls
Conduct regular audits of MBO scorecard submissions to ensure accuracy, completeness, and policy compliance
Validate supporting documentation and alignment with approved KPI criteria
Audit pipeline quality to ensure opportunity accuracy, stage integrity, forecast reliability, and data hygiene
Identify inconsistencies, inflation risks, or process gaps and recommend corrective actions
Partner with Sales and Management teams to improve accountability and forecast discipline
Reporting & Revenue Analytics
Standardize, streamline, and automate reporting processes to improve accuracy and efficiency
Deliver clear, actionable insights to sales leadership and executive stakeholders
Analyze individual, team, and divisional revenue trends
Provide high-quality ad hoc reporting and business analysis as needed
Data Governance & Operations
Consolidate and manage multiple internal and third-party datasets
Ensure data accuracy, consistency, and integrity across reporting systems
Support data operations initiatives and process improvements
Partner with stakeholders to resolve discrepancies and ensure timely, accurate payouts
QUALIFICATIONS:
Bilingual proficiency in Korean and English (required)
Advanced Excel skills with strong data manipulation and analytical capabilities
2–3+ years of experience in data analysis, data management, or performance auditing
Experience with Tableau Desktop and Tableau Prep (preferred)
Working knowledge of SQL (a plus)
Experience in a manufacturing environment with complex sales channels (preferred)
Strong attention to detail with the ability to detect inconsistencies and data risks
Self-starter with the ability to work independently in a fast-paced environment
Highly organized with strong documentation and presentation skills
Recruiting Range
$33.65
—
$33.65 USD
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
Location: Medellin, Colombia
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
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Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
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: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
Senior Business Analysts specializing in the mining sector to support M&A advisory and investment banking activities focused on mining-related opportunities. The role bridges technical geological expertise with commercial and financial analysis, evaluating mining assets, transactions, and investment opportunities across the resources value chain.
Responsibilities
Conduct due diligence on mining assets and companies, integrating geological, technical, and commercial assessments.
Build and maintain financial models (DCF, NAV, comparable transactions and companies) for mining projects and corporate transactions.
Analyze mineral resource and reserve statements (JORC, NI 43-101, or equivalent) and assess their commercial implications.
Evaluate mining project economics, including capex/opex profiles, production schedules, commodity price assumptions, and risk factors.
Prepare investment memoranda, pitch books, valuation summaries, and board-level presentations.
Monitor commodity markets, mining sector trends, M&A activity, and the competitive landscape.
Support deal execution, including coordination with technical consultants, legal teams, and counterparties.
Assess geopolitical, permitting, environmental, and ESG risks affecting mining investments.
Structure and evaluate alternative and structured financing schemes for mining operations, including metal prepays, royalties, streaming agreements, offtake and marketing arrangements, and debt/equity hybrids, and assess their impact on project economics and counterparty risk.
Requirements
Bachelor's or Master's degree in Geology, Geological Engineering, Mining Engineering, or Earth Sciences.
5+ years of relevant experience in mining, investment banking, corporate finance, equity research, or technical/financial advisory within the resources sector.
Exposure to M&A transactions, project finance, or asset valuation in mining is highly desirable.
Formal business education or training is a plus (MBA, finance/business degree, CFA progress, or equivalent practical commercial experience).
Demonstrated understanding of mineral resource classification codes (JORC, NI 43-101, SAMREC, or similar).
Working knowledge of structured financing instruments used in the mining sector, including prepays, royalties, streams, and offtake agreements.
Strong financial modelling and valuation skills.
Ability to translate technical geological data into commercial and financial insight.
Advanced proficiency in Excel; familiarity with mining technical software (e.g., resource and mine-planning tools) is an advantage.
Strong analytical, quantitative, and problem-solving abilities.
Excellent written and verbal communication, including report and presentation preparation.
Ability to manage multiple workstreams under deadline pressure.
Attention to detail and sound commercial judgement.
Preferred / Advantageous
Experience across multiple commodities (e.g., base metals, precious metals, bulk commodities, battery metals).
Knowledge of ESG frameworks relevant to mining.
Additional languages and willingness to travel to project sites.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
ES - Barcelona, Spain
УдалённоseniorГеография найма не уточнена
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ГибридNew York
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ГибридSan Francisco
УдалённоseniorRemote - USA; Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity