Вакансии

Dive into complex systems and manual workflows to develop an understanding of our tools and constraints. Thoughtfully design and maintain clean, scalable, production-grade dbt models (e.g., ARR, revenue recognition).

Location: Limassol Cyprus Workplace: OnSite ABOUT US Scorewarrior is a game developer and publisher based in Limassol, Cyprus. We are working on Total Battle — a cross-platform MMO 4X strategy game with a deep social system and extensive player interaction. We have 2 million monthly active players and continue to grow with the goal of becoming the #1 game in the genre. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games. ABOUT THE POSITION We are looking for a Senior Product Analyst to join our General Analytics team: the analytics lead, an analytics engineer and you. Product teams have their own analysts; we take the research questions they cannot answer on their own, and we own how analytics is done across the company. The core of the role is research: high-uncertainty product questions where the answer is the estimated effect of a specific factor, not a dashboard. Whether to extend the game's lifecycle, how to tell that a new giant feature works, how to run experiments on veteran players spread across hundreds of kingdoms. Alongside it you own the methodology: how experiments and effect estimates are done at Scorewarrior, and whether a number is good enough for a decision and useful to other analysts afterwards. It is a senior individual-contributor role: close work with the analytics lead, short cycles with game designers and product managers. Pilots of the infra components (experimentation platform, visualization system, AI analyst assistant, ELT) are driven by the analytics lead and the infrastructure itself by the data tech lead; you join as the customer, not the builder. Game industry experience is not required. WHAT YOU WILL BE DOING - Take high-uncertainty questions from product teams (Old Players, New Players, Quality of Life, Platform) from a vague question to a decision the team acts on. - Design and analyze experiments in non-standard setups: delayed treatment for veteran players, kingdom-level (cluster) tests, small samples, heavy-tailed revenue. Own variance reduction, outlier handling, permutation tests, MDE and power, reporting rules. - Estimate effects where a classic A/B test is impossible, using causal inference and quasi-experimental designs, and turn one-off solutions into methods other analysts reuse: reference documents, dbt data marts, Tableau dashboards. - Be the last check before the business acts on a number: the assumptions behind a metric, a test read-out or a pilot's output. - Use Python inside research when SQL is not enough: a graph algorithm over clan and kingdom networks, an optimization problem, a simulation. - Specify logging for features shipped by teams without their own analyst, and cover their ad-hoc questions. REQUIRED QUALIFICATIONS - Experience running research with high uncertainty end-to-end, from problem framing to a decision the team acted on. - Hands-on causal inference and quasi-experimental methods (difference-in-differences, synthetic control, matching or similar) on product questions: you can say what breaks an estimate and how you checked it. - Hands-on A/B test design and analysis, and the applied statistics behind it: distributions, power and MDE, variance reduction, heavy tails and outliers. - Strong SQL on an analytical data warehouse; ClickHouse is a plus. - Working Python for research: you can implement an algorithm or a statistical procedure that has no ready-made library call, and you understand what your code, or your AI assistant's code, does and whether it can work. No production services expected. - Clear, concise communication in writing and in person: you fix agreements, and you say so when a result cannot be trusted, including to the people who asked for it. - English at B1 or above. PREFERRED QUALIFICATIONS - Data science background alongside analytics: modeling, segmentation, validating assumptions with statistical tests. - Experience building or improving an experimentation platform, or setting methodology that other analysts followed. - Hands-on experience with dbt and Tableau. - Understanding of F2P economics, network effects, social or competitive systems; you play games and are ready to play Total Battle. WHAT WE OFFER - A team of professionals with a passion for gamedev and a drive to make Total Battle the #1 MMO 4X strategy game. - An excellent remuneration package, including a 13th salary. - Full relocation coverage for you and your family to Cyprus (Limassol). - A modern, sunny office close to the sea. - Private health insurance for you and your family members. - A monthly pre-school, school, and university allowance for employees' children. - Lunch compensation. - A sports and fitness allowance. - Company-funded personal development opportunities (professional and language courses, books, etc.). - Bonuses for outstanding results, years of service, marriage, and childbirth. - Friendly monthly office parties and epic annual offsite company birthday and Christmas celebrations.

ASOS.com — британский онлайн‑ритейлер модной одежды, обуви, аксессуаров и косметики. В компании работают русскоговорящие ребята. Технологии и инструменты: SQL, Databricks, Spark, DBT, Python, Mixpanel, Adobe и другие. Компания основана фаундерами Nick Robertson, Andrew Regan, Quentin Griffiths, Deborah Thorpe. Размер команды: 1k-5k человек. Инвестиции: £587.5M.

Требования: — 2+ года опыта работы Data Analyst, Data Engineer или Analytics Engineer — Сильные навыки SQL и опыт работы с PostgreSQL или другими реляционными базами данных — Опыт построения и поддержки ETL/ELT пайплайнов — Владение Python для обработки данных и автоматизации — Понимание моделирования данных и концепций хранилищ данных — Опыт работы с большими наборами данных и оптимизации запросов — Свободное владение английским языком Условия: — Поддержка релокации — Полная занятость — Конкурентная зарплата — Работа в офисе в Лимассоле Задачи и подробности не указаны.

В компании British Airways открыты вакансии аналитиков в области аналитики и инсайтов, с возможностью работы в Лондоне, Манчестере (Дидсбери) или Гатвике. Кандидаты будут заниматься сбором, анализом и интерпретацией данных для поддержки бизнес-решений, используя современные аналитические инструменты и методы. Требования включают опыт работы с аналитикой, умение работать с большими объемами данных и навыки визуализации информации. Вакансии предполагают участие в проектах, направленных на улучшение операционной эффективности и клиентского опыта авиакомпании.

Location: Anywhere in France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE INSURANCE TEAM ⭐️ Being part of Alan's insurance community is a great opportunity to have a significant impact on people's health and wellbeing in our multiple countries of operation. - We are at the heart of Alan’s mission, bringing to the team our technical leadership and expertise on healthcare and death & disability insurance. - We work hand in hand with our data scientists, designers, engineers and product managers to build the most differentiating products and provide a delightful experience at a fair price. - We build and manage offers for large companies and public institutions with our sales and account management teams. - We make sure our portfolio is closely monitored and risks are effectively managed. - We also manage our capital, steer our reinsurance strategy and maintain a trusting relationship with our insurance regulators. ️ ⭐️ YOUR ROLE ⭐️ ️ - Partner with sales teams to price and develop compelling proposals for very large corporate clients and public institutions - Serve as a trusted technical advisor in client meeting, delivering expert insights that build confidence in our solutions - Design delightful insurance products meeting both member needs and regulatory requirements - Support key account managers in nurturing and renewing our most strategic client relationships - Develop scalable tools, frameworks and knowledge resources that empower further our sales teams  ⭐️ IS IT YOU WE’RE LOOKING FOR? ⭐️  You would thrive in this role if you:  - Are able to navigate and synthesize technical, data, legal and business considerations related to health and income protection insurance - 2 years of experience in Health and/or "Prevoyance" Insurance are a big plus but are not required - Are analytical and structured, with a fact-based decision-making style - Are excited about bringing technical expertise in a business-centric context - Are willing to deeply change the insurance industry and challenge the status quo - Approach challenges with a scalability perspective, continuously identifying opportunities to optimize processes and systems - Have strong written communication skills, with the ability to simplify complex concepts - Are fluent in both French (French clients) and English (Alan’s working language) For this role we are looking to hire within the C1-F level range https://alan.com/en/careers/a/salary-equity. 🌍 HOW WE WORK - Location: You must be legally eligible to work from France. - Remote work: We offer remote work flexibility, but we value in-person collaboration   🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!   🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. 🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP is hiring a Senior Analyst to join the Commercial Analytics team and serve as a key analytics partner to our Digital Commerce business. In this role, you will own analysis and reporting across our direct-to-consumer and marketplace channels, translating data into insights that inform pricing, promotions, merchandising, and product strategy. You will help us understand what drives bookings, conversion, and margin across our digital storefronts and partner closely with Marketing Analytics to connect acquisition and traffic trends to downstream commercial performance. RESPONSIBILITIES: - Serve as a key analytics partner to the Digital Commerce team, analyzing performance across direct-to-consumer and marketplace channels to identify opportunities that drive bookings, conversion, and margin growth. - Own analysis of digital pricing and promotions, including incrementality, cannibalization, discount depth, and pull-forward, to inform promotional strategy and investment decisions. - Analyze funnel and conversion performance, merchandising, product mix, attach rate, and average order value to understand the drivers of digital commerce performance and identify opportunities for growth. - Own marketplace performance analysis, evaluating channel economics, assortment, pricing, and customer behavior across marketplaces and our direct-to-consumer business. - Build scalable reporting and analytical tools that give Digital Commerce leadership visibility into channel performance, partnering with Analytics Engineering to ensure data is accurate, consistent, and trusted. - Support commercial planning and forecasting by developing Digital Commerce inputs and channel-level drivers, and partner with Marketing Analytics to connect acquisition and traffic trends to downstream commercial outcomes. QUALIFICATIONS: - 4+ years of experience in analytics, business intelligence, or a related discipline, ideally within e-commerce, direct-to-consumer, marketplace, subscription, or consumer products businesses. - Strong SQL skills and experience working with large-scale transactional and behavioral data, with the ability to independently move from a business question to analysis, insight, and recommendation. - Demonstrated experience building reporting and analytical tools that enable stakeholders to understand performance and make informed business decisions. - Strong business acumen and experience partnering with e-commerce, commercial, merchandising, or other business stakeholders, with the ability to synthesize complex data into clear recommendations and actions. - Experience with digital commerce analytics, including funnel and conversion analysis, pricing and promotional measurement, merchandising, product mix, or marketplace performance. - Familiarity with experimentation and incrementality measurement, digital analytics or clickstream data, and business intelligence tools such as Sigma is a plus. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $120,000 - $155,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Paris, France Workplace: Hybrid We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team: You'll join the Data Team, responsible for turning data into actionable insights and recommendations for our consumer sales and marketing operations across all channels. What you’ll be doing: - Own consumer sales analytics end to end: Ledger.com http://Ledger.com, Amazon, wholesale and resellers, from sell-in to sell-out, with one consistent view of revenue, units and margin - Measure the true incremental impact of pricing, promotions and marketing campaigns with rigorous causal methods and experiments, and turn the results into budget recommendations for the Growth team - Develop and improve data models (dbt/Snowflake) across varied data sources (sales, sell-out, marketing, web analytics) with the support of the data engineering team; co-own data quality alerting - Own performance marketing measurement (attribution, ROAS, CAC), reconciling ad platforms, GA4 and internal sales data into a single source of truth - Build and maintain Tableau dashboards that give business teams a clear, reliable view of their performance - Model customer value (LTV, repurchase behavior, services attach) and feed it back into marketing ROI decisions - Work as part of an AI-augmented team: use LLM-based workflows and AI agents daily to automate analyses and accelerate delivery - Create and deliver presentations that turn complex analyses into clear recommendations for stakeholders up to ExCom level What we’re looking for: - Proven hands-on data science experience applied to business decisions: you have run causal inference studies (CausalImpact, difference-in-differences, synthetic control, geo-experiments) and/or built predictive models (LTV, repurchase, propensity) whose results changed a budget or pricing decision - Strong statistical rigor: comfortable with experiment design, confidence intervals and power, and able to clearly say when a result shows no detectable effect - 2 to 4 years of experience in data analytics, analytics engineering or data science - Strong SQL - dbt skills are a plus - Tableau skills are a strong plus - Data driven and business oriented; able to challenge stakeholders' methodology - Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads), affiliation networks are a strong plus At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information.   We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Canada, the Base compensation range for this role is $ 164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the US, the Base compensation range for this role is $ 154,445 - $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Write and adapt SQL queries against well-defined requests, using Claude to refine logic and troubleshoot errors. Look up existing metrics in Looker or Omni to understand how they're already built, and reuse that logic where it applies.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Marketing Analytics Lead at Anthropic, you will own how we measure marketing. You'll build and run a single measurement framework that shows how marketing activity turns into pipeline, revenue, and product usage, and you'll make that framework something marketers and executives actually use to make decisions. As our marketing programs grow across enterprise and product-led motions, your work will determine whether we invest in what works. In this role, you'll own the marketing measurement framework end to end: the metric definitions, the data models behind them, the dashboards that surface them, and the insights they produce. This is a hands-on individual contributor role; data science and data engineering will support you, but you'll do the core work yourself. You'll partner closely with field marketing, partner marketing, campaign marketing, finance, sales strategy, sales development, data science, and data engineering to align on definitions and keep the whole organization working from one view of the funnel. Key responsibilities Own the marketing measurement framework that connects marketing activity to pipeline, revenue, and product usage Set the direction for the framework and extend it to programs it doesn't cover yet Define marketing metrics clearly and get cross-functional teams to agree on definitions early Build and maintain the data models that power marketing reporting Develop dashboards that marketers and executives rely on in their weekly reviews Teach marketers and executives how the metrics work, and keep teaching as the metrics evolve Lead adoption of the framework so that both marketing and executive teams use it as their shared source of truth Partner with finance, sales strategy, and sales development to connect marketing measurement to the broader revenue picture Find and share the insights nobody asked for, turning analysis into recommendations that change what we do Write analytical SQL on large datasets to answer questions about funnel performance and attribution Track framework gaps and data quality issues, and work with data engineering to resolve them Present findings to marketing leadership and executives in clear, decision-ready formats Minimum qualifications Have deep experience with marketing analytics, including lead funnels, attribution to enterprise pipeline, and product usage measurement Have designed metrics from scratch and know what makes a metric trusted and useful Can write analytical SQL on large datasets with confidence Have built data models in tools like dbt and dashboards that many people use daily Are comfortable setting direction without waiting for a plan to be handed to you Can turn vague questions into clear, measurable definitions Work well across functions and know how to get teams aligned on definitions before problems surface Enjoy teaching others how metrics work and helping non-technical audiences build data fluency Finish what you start, from first definition to adopted dashboard Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience building marketing measurement for both enterprise sales-led and product-led growth motions Familiarity with marketing attribution models and their practical tradeoffs Experience presenting metrics and insights directly to executives and shaping how leadership reviews performance A background in data science, analytics engineering, or marketing operations Experience working with CRM and marketing automation data, such as Salesforce and related tooling Experience standing up a measurement practice where one didn't exist before Familiarity with how finance and sales strategy teams think about pipeline and forecasting The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We're looking for a Data Analyst, Regulatory Analytics and Reporting to join our team remotely! The #1 goal of this role is to turn complex compliance and regulatory data into clear, actionable insights that protect the business, satisfy regulators, and support senior leadership in making high-stakes decisions. You'll work at the intersection of data engineering, regulatory reporting, and compliance operations in a fast-paced, high-scrutiny environment where accuracy and audit-readiness are non-negotiable. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with deep knowledge of compliance regulations and frameworks. You'll own end-to-end data management from building and maintaining datasets and pipelines to designing dashboards and insights for compliance and leadership teams. You will also automate compliance processes and workflows to boost efficiency and minimize human error. If you combine exceptional data analysis expertise with solid knowledge of compliance regulations, a keen eye for regulatory risk, and the drive to shape the future of crypto with a top-tier brand - this is your next mission!   THE OPPORTUNITY - Own the design of dashboards, compliance metrics, and regulatory reports, turning data into actionable insights for stakeholders, cross-functional partners, and regional compliance officers - Automate end to end compliance related data solutions, governance controls, and automations to boost efficiency and minimize manual intervention - Dive into large, complex datasets to turn findings into scalable, audit-ready data models that facilitate regulatory reporting and analytics - Translate regulatory and business requests into accurate reports and automated data pipelines using Python, SQL, DBT and Airflow - Lead cross-functional projects with analysts, engineers, and compliance teams to build and maintain high-quality data pipelines and sources - Coordinate client data quality monitoring by identifying issues, flagging remediations, and partnering with responsible teams to ensure timely resolution - Support ad-hoc data requests for audits, exams, risk assessments, and day-to-day business needs - Deliver insights that shape compliance direction through clear, data-driven storytelling   WHAT YOU BRING - 5+ years of experience in data analysis and data management within financial services or a regulated industry, with hands-on experience in compliance and regulatory reporting across frameworks such as AML, KYC, Sanctions, MiCA, or MiFID - Solid understanding of regulatory risk and the ability to operate effectively in high-scrutiny, audit-ready environments - Expert SQL skills including complex joins, CTEs, and analytical functions, paired with proficiency in Python libraries such as pandas, matplotlib, and plotly - Hands-on experience using dbt or similar tooling to model and organize high fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of data workflow orchestration - Proficiency with BI and data visualization tools such as QuickSight, Power BI, or Superset to build executive-facing dashboards - Strong communicator who can simplify complex data ideas for both technical and non-technical audiences - Alignment with the values outlined in Kraken's Tentaclements document   NICE TO HAVES - Degree in Mathematics, Statistics, Finance, Information Systems, or a related technical field - Passion for continuous learning and approaching problems with a beginner's mindset - Solid understanding of the cryptocurrency space and how financial markets function Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; Ireland; Cyprus; Portugal; Lithuania; Czech Republic; Canada; Poland Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We're looking for a Data Analyst, Regulatory Analytics and Reporting to join our team remotely! The #1 goal of this role is to turn complex compliance and regulatory data into clear, actionable insights that protect the business, satisfy regulators, and support senior leadership in making high-stakes decisions. You'll work at the intersection of data engineering, regulatory reporting, and compliance operations in a fast-paced, high-scrutiny environment where accuracy and audit-readiness are non-negotiable. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with deep knowledge of compliance regulations and frameworks. You'll own end-to-end data management from building and maintaining datasets and pipelines to designing dashboards and insights for compliance and leadership teams. You will also automate compliance processes and workflows to boost efficiency and minimize human error. If you combine exceptional data analysis expertise with solid knowledge of compliance regulations, a keen eye for regulatory risk, and the drive to shape the future of crypto with a top-tier brand - this is your next mission!   THE OPPORTUNITY - Own the design of dashboards, compliance metrics, and regulatory reports, turning data into actionable insights for stakeholders, cross-functional partners, and regional compliance officers - Automate end to end compliance related data solutions, governance controls, and automations to boost efficiency and minimize manual intervention - Dive into large, complex datasets to turn findings into scalable, audit-ready data models that facilitate regulatory reporting and analytics - Translate regulatory and business requests into accurate reports and automated data pipelines using Python, SQL, DBT and Airflow - Lead cross-functional projects with analysts, engineers, and compliance teams to build and maintain high-quality data pipelines and sources - Coordinate client data quality monitoring by identifying issues, flagging remediations, and partnering with responsible teams to ensure timely resolution - Support ad-hoc data requests for audits, exams, risk assessments, and day-to-day business needs - Deliver insights that shape compliance direction through clear, data-driven storytelling   WHAT YOU BRING - 5+ years of experience in data analysis and data management within financial services or a regulated industry, with hands-on experience in compliance and regulatory reporting across frameworks such as AML, KYC, Sanctions, MiCA, or MiFID - Solid understanding of regulatory risk and the ability to operate effectively in high-scrutiny, audit-ready environments - Expert SQL skills including complex joins, CTEs, and analytical functions, paired with proficiency in Python libraries such as pandas, matplotlib, and plotly - Hands-on experience using dbt or similar tooling to model and organize high fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of data workflow orchestration - Proficiency with BI and data visualization tools such as QuickSight, Power BI, or Superset to build executive-facing dashboards - Strong communicator who can simplify complex data ideas for both technical and non-technical audiences - Alignment with the values outlined in Kraken's Tentaclements document   NICE TO HAVES - Degree in Mathematics, Statistics, Finance, Information Systems, or a related technical field - Passion for continuous learning and approaching problems with a beginner's mindset - Solid understanding of the cryptocurrency space and how financial markets function Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP is hiring a Senior Analyst, Commercial Analytics to join the Commercial Analytics team and serve as a key analytics partner to our growing Wholesale business. In this role, you will translate data into actionable insights that inform channel strategy, maximize partner performance, and identify new opportunities for growth. You will own critical analysis and reporting across the channel and help build the analytical foundation needed to scale the business across regions and partner networks. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. RESPONSIBILITIES: - Serve as a key analytics partner to the Wholesale team, analyzing performance across partners, products, doors, and geographies to identify opportunities that drive revenue and margin growth. - Own analysis of sell-in and sell-through performance, pricing, promotions, and partner economics to assess channel performance, inventory position, consumer demand, and future growth opportunities. - Build scalable reporting and analytical tools that give Wholesale and regional sales leadership visibility into channel performance, partnering with Analytics Engineering to ensure data is accurate, consistent, and trusted. - Support commercial planning and forecasting by developing wholesale inputs and channel-level drivers, and conduct market sizing and opportunity analyses to inform partner selection and regional expansion. - Uncover consumer and channel insights across retail partners and collaborate with Marketing and other cross-functional teams to strengthen go-to-market strategy and understand the impact of investments supporting wholesale growth. QUALIFICATIONS: - Bachelor's or advanced degree in Business Analytics, Computer Science, Statistics, Economics, or a related field. - 4+ years of experience in analytics, business intelligence, or a related discipline, ideally within a retail, wholesale, sales, B2B, or consumer products environment. - Strong SQL skills and experience working with large-scale transactional data, with the ability to independently move from a business question to analysis, insight, and recommendation. - Demonstrated experience building reporting and analytical tools that enable stakeholders to understand performance and make informed business decisions. - Strong business acumen and experience partnering with commercial or sales stakeholders, with the ability to synthesize complex data into clear recommendations and actions. - Experience with wholesale or retail analytics, including sell-in and sell-through performance, pricing, promotions, trade spend, or retailer-provided data. - Experience with business intelligence tools such as Sigma and familiarity with retailer data sources, including POS platforms such as SPS Commerce, is a plus. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $120,000 - $155,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP is hiring a Senior Manager, Commercial Analytics to support our commercial business across sales channels. In this role, you will oversee reporting to understand commercial performance, evaluate growth opportunities, and make informed investment decisions. You will lead a team of analysts supporting Digital Commerce, Apparel & Accessories, and Wholesale while remaining hands-on with the highest-impact analytical work. You will partner closely within the broader analytics team and across the organization to translate complex data into clear business decisions and establish consistent measurement across the commercial organization. RESPONSIBILITIES: - Lead and develop a team of analysts supporting Digital Commerce, Apparel & Accessories, and Wholesale, setting clear priorities and ensuring analytical work translates into meaningful commercial impact. - Own the commercial bookings model and short-term, bottoms-up forecasting, explaining performance across channels, geographies, products, and partners and partnering with Finance to reconcile channel-level forecasts with company planning. - Establish consistent frameworks for evaluating channel and customer economics to enable informed comparisons and investment decisions across the commercial organization. - Build scenario-planning and measurement frameworks that quantify tradeoffs across volume, cost, retention, pricing, mix and margin. - Run point on critical commercial decisions and operating rhythms, diagnose the drivers of bookings and member economics, and translate findings into clear recommendations for senior stakeholders. - Partner cross-functionally to improve the data, measurement, and analytical capabilities that support commercial decision-making. QUALIFICATIONS: - Bachelor's or advanced degree in Business, Economics, Math, Statistics, Data Science, or a related field. - 7+ years of experience in analytics, data science, strategic finance, commercial strategy, or a related discipline, with demonstrated experience using customer and unit economics to inform business decisions. - Experience building or owning commercial measurement frameworks such as LTV, CAC, payback, contribution margin, forecasting, scenario planning, or incrementality, ideally within a subscription, recurring-revenue, or multi-channel business. - Demonstrated people leadership experience, with a track record of developing talent, setting priorities, and maintaining high standards for analytical quality and business impact. - Strong SQL skills and experience working with modern data infrastructure, paired with proficiency in Python, R, or comparable analytical tools for modeling and advanced analysis. - Experience partnering with senior commercial, sales, marketing, or finance stakeholders to frame ambiguous business questions, evaluate tradeoffs, and translate analysis into clear recommendations and actions. - Strong business acumen and understanding of analytical measurement, including the ability to evaluate modeling approaches and their limitations and effectively partner with Data Science and other technical teams. - Experience working in omni-channel businesses and establishing shared metrics or analytical standards across teams is a plus. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $170,000 - $200,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Berlin; Frankfurt am Main; Barcelona; Munich; Lisbon; Madrid; Erfurt; Hamburg; Porto Workplace: Remote HEY THERE You've spent the last few years as the analyst sitting alongside a mobile squad—close to the tracking, the experiments and the numbers behind their decisions. You've also been leading a small team as well for a while now, and you don't want to give up either half. Good, because this role doesn't ask you to. You'll lead our squad analysts, and you'll also be the hands-on analyst for Monetization. Roughly half your week in each role, at least at the start. Stepping up to lead here doesn't mean handing the interesting work to someone else. You'll be building solid data products, helping our Monetization team optimize conversion and revenue, but you'll also be responsible for ensuring that our product and engineering teams own the quality of the data they produce. Building this culture is a big part of what we're hiring for. Let's shape the future of nutrition together and make Yazio the most successful nutrition app worldwide! This role is 100% remote and open to candidates based in Germany, Spain, Portugal or the UK. YOUR MISSION Our product generates billions of data points every month, and our development teams run hundreds of experiments a year. In your first year, you'll: - Lead a small team of analysts embedded in our product squads. They're the ones measuring the impact of what engineering builds and helping figure out what comes next - Be the analyst for Monetization yourself. You’ll handle tracking for new features, the experiments behind our conversion funnels and the reporting the squad runs on - Set the example for how the work gets done. You'll write less production code than the analysts in your team, and the way you solve problems is what they'll pick up - Set the data quality bar: what gets tested when data comes in, what gets tested once it's transformed, what gets tested in the reporting layer and what anomaly detection catches before a stakeholder spots it - Move that responsibility upstream to the teams producing the data. Expect pushback from people who haven't had to think about it before - Own the path from raw event data to curated, ready-to-use datasets in our self-service BI tool - Take on the strategy side of squad analytics: how PMs and engineering managers use data when they make decisions YOUR PROFILE You'll feel at home here if: - You've been the analyst inside a mobile product squad. Event tracking, funnel and user journey analysis, experiments. You plan around release cycles and handle old app versions as a matter of course - You've managed analysts without stepping away from the work yourself - Experimentation is where you're strongest. You’ve run plenty of A/B tests, and you can talk through bandits, quasi-experiments and where Bayesian and frequentist approaches part ways - You've built a data quality regime. You've held a number back because it didn't reconcile, then gone and fixed whatever let it through - You write SQL all day and Python when you need it, and dbt is how you transform data - When you take an analysis to a PM, it comes with what you'd do next. And when a number turns out to be wrong, you say so and change the process that produced it Bonus points for: - Experience with subscription businesses, including the mobile gateway SDKs (App Store, Google Play) - A strong statistics background - Dagster or Airflow for scheduling - Data catalogues like DataHub   OUR CORE TECH STACK Here's what we run in production: - Warehouse: Snowflake - Transformation & orchestration: dbt, Dagster - Experimentation: GrowthBook - Self-service analytics: Omni - ML workflows: Prefect - GenAI: Claude If you've worked with a cloud warehouse, dbt and an experimentation platform in some form, the patterns transfer. AI is part of how we work here: writing and checking code, summarizing data and keeping documentation current. We'd want you to be critical about what it gives back. WHY US? - An exciting product with millions of users in over 150 countries, driven by our mission to transform the world through healthy eating - A remote-first setup: work 100% from home, join a co-working space, or work abroad for several weeks per year - 30 vacation days to relax and recharge, plus 5 child sick days if your little one needs you - A focus-driven culture that values efficiency over long hours - no overtime expectations, and if it happens, you get that time back! - A high-impact environment where your work drives real change - short decision-making processes and no micromanagement - A team culture where ambition and balance go hand in hand, supported by strong connections - from our fully covered company retreat to team meetups and virtual coffee breaks - Tools and support to do your best work: MacBook, monitor, and €1,000 annual learning budget, plus regular feedback and career development - A truly international team with English as our company language and a shared commitment to growth and well-being - supported by Sunday Supplements and Nilo Health DIVERSITY AND INCLUSION At Yazio, we believe that diversity fuels innovation. We are committed to fostering an inclusive environment where everyone, regardless of gender identity, race, religion, age, sexual orientation, or ability, feels valued and empowered. We celebrate different perspectives and actively encourage individuals from all backgrounds to apply. READY TO JOIN US? Excited to take YAZIO to the next level and help people worldwide lead healthier lives? We’d love to hear from you! Please send us: - Your CV in English - Any additional materials that showcase your work (e.g., LinkedIn profile, portfolio)

Location: New York; Stockholm; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction. The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work. We do this via: - Self-serve AI analytics tools (Hex, Snowflake) - Embedding with teams as a “data adviser,” providing strategic analysis and consulting WHAT YOU'LL WORK ON: - Contribute to building the most modern analytics stack https://modal.com/blog/analytics-stack in data today to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting - Influence work on new products like LLM Inference Endpoints https://modal.com/blog/qwen3-8-2-4t-a95b-now-available-on-modal through product analytics tracking - Identify millions of dollars of cost savings and optimization across our tools and financial operations - Write data pipelines that power the operations of our business, such as our cloud compute economics or sales comp - Create foundational datasets that can be used by people and AI tools to answer questions around product use cases, financial reporting, and marketing campaigns YOU MAY BE A FIT IF: - You’re fluent in SQL and proficient in Python - You have professional experience with at least 2 of the following tools: Snowflake, dbt, dlt, Modal, Hex, PostHog - You extend your work beyond just data reporting and into action and impact - You have high attention to detail - You’re an excellent and precise communicator - You’re personable and great at building relationships NICE-TO-HAVE: - Experience with AI products, especially LLM inference and sandboxes - Experience in fin ops, fraud, sales ops, or risk, especially in the context of AI (e.g. token cost optimization) - Project management skills - Strong presence in the data community online and offline