Аналитика данных вакансии - удалённо

5+ years in Data Analytics / SaaS, Expert SQL, Python, dbt, Looker, Data Modelling, Analytics Engineering, ETL/ELT, A/B Testing, Experiment Design, Product Analytics, SaaS Metrics (MRR, NDR, Expansion, Contraction), Quasi-experimental Analysis, AI / MCP. ➕ Bonus: Data Science, ML, Staff/Principal level.

Location: Europe (+/- 3 hours) Workplace: Remote 👋 A LITTLE ABOUT US We’re building the best platform for authoring, publishing, and maintaining world-class docs. Close to 40,000 sign-ups per month, over 100k Monthly Active Users, used by 2M+ people and thousands of teams like Zoom, FedEx, Nvidia, Snyk, and Google. We’re profitable, backed by P9 Capital, Notion Capital, and Fly VC, and our amazing team is spread across 15 countries in North America, Europe, and Asia. We’re looking for someone to make data a core lever for better product and business decisions.   This is a highly autonomous role. You’ll have the freedom to identify what we need, decide whether to build or buy, and turn data into measurable impact. 🙌 WHAT WILL YOU BE DOING? You’ll work at the intersection of data, product, and business, partnering closely with teams across GitBook. - Work with product and engineering to identify opportunities, define metrics, run experiments, and influence the roadmap - Turn messy questions into analysis, insights, and actions that improve product and company metrics - Collaborate with the Head of Data on our data architecture, foundations, and long-term vision - Evolve our data models, pipelines, instrumentation, and tooling as our needs change - Decide when to build, buy, or use lightweight solutions to solve data problems efficiently - Take our existing internal data agent to the next level, making it more useful and accessible across the company - Help teams across GitBook become more autonomous and effective in how they use data You’ll have the freedom to shape both what we build and how we work with data. 🧰 WHAT ENVIRONMENT WILL YOU BE WORKING IN? Our stack today includes: - GCP — BigQuery, Composer - dbt — Cloud / via Cursor - Replit — data apps & internal tooling - Tableau / Count — analysis & exploration - Amplitude / Segment — product & event data We don’t expect you to know everything. What matters is that you’re comfortable learning, evaluating tools, and evolving a modern data environment. 🧠 WHAT WE VALUE Product mindset: You’re curious about users and how the product works. You want to understand behavior, find opportunities, and see your work translate into better product decisions and measurable outcomes. Ownership & judgment: You’re comfortable taking an ambiguous problem and figuring out what to do next. You know when to go deep, move fast, build, buy, or keep things simple. Technical depth: You’re strong with SQL, data modeling, analytics, and modern data tooling. You can move comfortably between analysis, data foundations, and building practical solutions. Collaboration: You work well across product, engineering, growth, marketing, and leadership. You can challenge assumptions, communicate clearly, and bring people along. Bias for impact: You care about what changes because of your work — not just what gets shipped. 🎯 WHY THIS ROLE? You’ll have a broad scope and a lot of autonomy. Your work will directly influence: - Product and company metrics - Product priorities and roadmap decisions - Experiments and growth initiatives - Our data foundations and architecture - How people across GitBook use data and AI If you like owning problems, shaping the solution, and seeing your work directly impact the product, you’ll have a lot of room to make a difference here. 👥 Join GitBook at a pivotal time as we evolve our product and team. This is a chance to shape our product, craft, and culture https://www.gitbook.com/about#open-roles.

О компании OperAI — интерактивная система на базе ИИ для управления операционной деятельностью компании. Цель — создать «второй мозг для CEO», сделать процессы прозрачными и управляемыми, помочь руководителям видеть риски, договорённости и реальное состояние компании. Сейчас запускают пилоты с первыми командами и проверяют продуктовые гипотезы. Требования: — Опыт в продуктовой или data-аналитике от 3 лет — Опыт проектирования архитектуры данных и построения аналитической инфраструктуры с нуля — Умение создавать модели, схемы и пайплайны для сбора, обработки и хранения структурированных и неструктурированных данных, в том числе с AI — Практический опыт работы с неструктурированными данными: переписками, расшифровками встреч, документами и корпоративными коммуникациями — Опыт построения процессов разметки данных: разработка схем разметки, критериев качества и инструкций для разметчиков — Уверенное владение SQL и Python для анализа и обработки данных — Понимание ETL/ELT-процессов, требований к качеству данных и принципов Data Governance — Глубокое понимание принципов работы LLM, embeddings, RAG и AI-агентов — Умение проектировать метрики и системы оценки AI-функций: точность, полнота, галлюцинации и реальная польза для пользователя — Готовность брать на себя ответственность и строить аналитическую функцию продукта с нуля Задачи: — Проектировать систему внутренней аналитики — Проектировать структуру хранения данных: события, встречи, задачи, решения, коммуникации и связи между ними — Помогать формировать единую модель данных для AI-функций продукта — Оценивать качество работы LLM: точность извлечения фактов, полноту, галлюцинации и полезность результатов — Разрабатывать подходы к разметке данных и созданию датасетов для тестирования AI-системы — Участвовать в проектировании AI-пайплайнов, RAG, embeddings и систем поиска по корпоративным данным — Находить закономерности в операционных процессах клиентов и превращать их в продуктовые решения — Определять ключевые продуктовые метрики и строить дашборды для команды и фаундеров — Анализировать поведение пользователей, пилотные запуски и продуктовые гипотезы — Вместе с разработчиками улучшать качество, наблюдаемость и надёжность продукта Будет большим плюсом: — Опыт проектирования архитектуры AI- или ML-систем — Работа с LLM API, векторными базами, LangChain/LangGraph или аналогичными инструментами — Опыт построения систем мониторинга и оценки качества LLM — Понимание операционной деятельности компаний: задач, встреч, решений, ответственности, сроков и отчётности — Опыт работы с BI-инструментами и продуктовыми системами аналитики — Опыт в B2B SaaS, стартапах или продуктах для руководителей и команд — Опыт взаимодействия с data engineering, ML и backend-командами Условия: — Equity-модель компенсации на начальном этапе — опцион — Возможность с нуля построить аналитику AI-продукта — Высокое влияние на архитектуру, продуктовые решения и развитие компании — Прямая работа с фаундерами — Пилотные клиенты и реальные данные для проверки гипотез — Гибкий формат работы и быстрый цикл принятия решений — Возможность вырасти в Head of Data / AI Analytics по мере развития проекта

Компания Symfa ищет Middle Data Quality Engineer / BA для удалённой работы из стран ЕС, Грузии или Сербии. В обязанности входит обеспечение качества данных, анализ бизнес-требований и взаимодействие с командами разработки. Кандидат должен обладать опытом работы с данными, навыками анализа и пониманием процессов контроля качества. Требуется умение работать с инструментами для проверки и валидации данных, а также способность выявлять и документировать проблемы с данными. Важны коммуникационные навыки для взаимодействия с различными отделами и понимание бизнес-процессов в сферах финансов, страхования, здравоохранения, недвижимости, туризма и HoReCa.

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

Требования: — 2–3+ года опыта работы BI Analyst, Data Analyst или в аналогичной аналитической роли. — Практический опыт работы с SQL-ориентированными хранилищами данных, особенно Google BigQuery. — Продвинутые навыки SQL (BigQuery/PostgreSQL). — Сильные навыки Python, особенно Pandas и NumPy. — Свободное владение английским языком. Компания SEARADAR — европейская платформа для аренды яхт, которая помогает яхтсменам находить и бронировать парусные яхты и катамараны в более чем 20 направлениях.

Задачи: — обновление информации в базе; — проверка записей; — поиск дублирующихся данных; — подготовка простых отчётов; — поддержание порядка в системе. Условия: — Новым сотрудникам дают инструкции и вводное обучение; — Работа проходит полностью онлайн, без необходимости ездить в офис.

Можно работать удалённо. Помогают с релокацией в UK или ЕС. Зарплата в евро.

Задачи: — Проектирование и разработка BI-дашбордов для бизнеса и продуктов; — Работа с Superset и другими BI-инструментами; — Контроль корректности данных и участие в выявлении расхождений; — Взаимодействие с бизнес-заказчиками: оценка запросов, подбор альтернативных решений, подбор оптимальных визуализаций, срезы, фильтры; — Работа с бизнес- и продуктовой аналитикой: выручка, маржинальность, воронки, метрики продукта и клиентского пути; — Поддержка и развитие существующих дашбордов; — Разбираться в источниках корпоративных данных и формировать функциональные требования в профильные отделы на их наполнение, изменение структуры и обеспечение доступа для решения поставленных задач. Требования: — Опыт работы на позиции BI-аналитика от 2 лет; — Уверенный опыт построения дашбордов; — Практический опыт работы с Superset; — Понимание принципов визуализации данных; — Понимание бизнес- и продуктовых метрик; — Опыт постановки ТЗ дата-инженерам; — Умение отстаивать свою точку зрения, аргументировать решения, предлагать несколько вариантов реализации задач. Будет плюсом: — Опыт в B2B / SaaS; — Опыт работы с несколькими источниками данных (CRM, финансы (1С), продукт, маркетинг); — Практический опыт применения Apache Airflow в задачах автоматизации работы с отчетами (выгрузки по расписанию, отправка результатов на электронную почту и т.п.); — Навыки работы с SQL (PostgreSQL, ClickHouse) на уровне аналитика; — Опыт работы с Trino; — Опыт общения с топ-менеджментом или бизнес-лидерами. Условия: — График работы: 5/2; — Удаленный формат работы только на территории РФ; — Работа в аккредитованной IT-компании; — Официальное трудоустройство по ТК РФ с первого дня; — ДМС со стоматологией и психологом после испытательного срока.

Задачи: — разбираться с данными из разных источников: проверять их качество, искать причины расхождений, создавать агрегаты данных и помогать подключать новые источники; — развивать и поддерживать аналитическую инфраструктуру: работать с dbt-моделями, настраивать тесты и алерты, следить за корректностью ключевых данных и метрик.

Требования: — От 4 лет опыта на позиции Data Analyst / Marketing Data Analyst. — От 2 лет опыта в рекламной сфере. — Python или R — от 2 лет. — Уверенное знание SQL (BigQuery). — Опыт работы с API, ETL и Docker. — Знание облачных сервисов (Cloud Run, Workflows, Artifact Registry). — Опыт работы с Looker. — Опыт сбора данных из AppsFlyer, Adjust или Voluum. — Сильные аналитические навыки, самостоятельность и ответственность. — Умение понятно презентовать технические выводы нетехническим специалистам. Задачи: — Участие в построении аналитических процессов. — Получение данных через API и создание удобных дашбордов. — Мониторинг эффективности рекламных кампаний. — Поиск точек роста и возможностей масштабирования продуктов. — Анализ LTV пользователей и факторов, которые на него влияют. — Глубокий анализ и оптимизация воронок продаж. — Поиск возможностей для увеличения выручки. Условия: — Удаленный формат взаимодействия. — График: с 10:00 до 19:00 по времени Кипра. — 20 дней отпуска и оплачиваемые больничные. — Работа по праздничному календарю Кипра. — Испытательный срок - 3 месяца. — Зарплата по договоренности, в зависимости от уровня и опыта.

Задачи: — Взаимодействие с бизнес-заказчиком, согласование проектных решений на техническом и бизнес-уровне — Оценка трудозатрат и стоимости решения — Проведение и организация нагрузочного тестирования — Разработка ETL процессов и data modeling — Моделирование и написание SQL-процедур — Оптимизация производительности скриптов и диаграмм интерфейса — Dashboard design и общий UI/UX дизайн в QlikSense Требования: — Опыт работы в QlikSense или Insight более 3 лет — Более 10 завершенных проектов — Уверенные навыки взаимодействия с бизнес-заказчиком — Высокая мотивация и умение самостоятельно находить решения сложных проблем — Навыки разработки ETL, data modeling — Навыки моделирования и написания SQL-процедур — Навыки оптимизации производительности скриптов и диаграмм интерфейса — Навыки Dashboard design и UI/UX design в QlikSense Дополнительные требования: — Сертификация QlikSense — Знания администрирования QlikSense средствами QMC, QV API, Sense API — Навыки VBA-программирования — Опыт написания Extentions и знание JavaScript — Знания инструментов отчетности Nprinting — Разработка экстракторов из SAP ERP, SAP BW — Опыт интеграции QlikSense во внешние среды (websites, SharePoint и др.) Условия: — Проектная занятость, фуллтайм — Долгосрочный срок — Оформление только ИП (не СЗ, не ТК)

Требования к кандидату: - 3+ years of experience in data analysis - Experience in marketing analytics - Strong knowledge of SQL - Data analysis skills in Python - Understanding of marketing KPIs and attribution models - Attention to detail and problem-solving skills - Good English communication skills (B2+)

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for a Senior Data Analyst, Marketing to join our Data Intelligence team and build the measurement foundation that tells us what's actually working across paid and PLG channels. You'll work closely with Marketing, Growth, and channel owners, helping us move past platform-reported metrics and vanity numbers into causal, trusted answers about what drives pipeline and revenue. This role is ideal for someone who thrives in async, fast-paced environments, is AI-forward in how they work, and is excited about building a measurement function from the ground up. WHAT YOU'LL BE RESPONSIBLE FOR Marketing Measurement Strategy - Own the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution for paid and PLG channels - Establish and evolve the attribution framework: how platform data, multi-touch attribution, MMM, and experiments work together to inform decisions - Translate complex measurement outputs into clear recommendations on where to invest, what to cut, and how to hit pipeline, revenue, and efficiency targets (CAC, payback, LTV to CAC) - Serve as the subject matter expert for marketing measurement, educating stakeholders on causality, model uncertainty, and the limitations of platform-reported metrics Incrementality and Experimentation - Design and run always-on incrementality tests, user-level and geo-level, to quantify the causal impact of key channels, campaigns, and tactics - Calculate incremental lift, incrementality percent, and incremental ROAS/CPA, and use these to guide budget reallocation - Build repeatable analysis templates and playbooks for experiment design, analysis, and readouts so results are consistent across teams - Partner with channel owners (paid search, paid social, lifecycle, website/SEO) to build and prioritize a experimentation roadmap, embedding it into campaign planning, creative testing, and audience strategy Media Mix Modeling and Forecasting - Build and maintain media mix models using historical data to estimate channel contribution, marginal returns, and optimal budget allocation - Incorporate seasonality, adstock, and saturation effects, and continuously validate model performance through backtesting and reconciliation with experiment results - Turn MMM insights into budget scenarios and forecasts across channels and regions, communicated in a way non-technical stakeholders can act on Context, Tooling, and Data Integrity - Own and build the context and skills that let marketing teams run accurate self-serve analytics: metric definitions, model documentation, and reusable analysis patterns, not just dashboards - Use AI tools as a core part of daily work to accelerate analysis and go deeper than a traditional analyst workflow allows, and help establish AI-forward practices across the marketing org - Identify gaps and inconsistencies in marketing data (tracking, spend, platform exports) and work cross-functionally to fix them at the root rather than patching around them downstream You Might Be a Good Fit If You - Have 6+ years in marketing analytics, data science, or a related role, with a focus on performance marketing and/or PLG growth - Deeply understand marketing attribution, incrementality testing, and media mix modeling, and how they complement each other rather than compete - Are advanced in SQL and at least one statistical programming language (Python or R) for experiment analysis and modeling - Have hands-on experience designing, running, and interpreting experiments across digital marketing channels: search, social, display, email, in-product - Have built or worked closely with MMM and/or advanced attribution models, ideally in a consumption or BaaS environment - Have strong business acumen and fluency in growth metrics: CAC, LTV, payback period, conversion rates, funnel performance - Think in terms of self-service and scale: your instinct is to build tools and frameworks that make marketing teams independently capable, not to become the bottleneck for every "did this work" question - Can hold technical and strategic context at once: you're as comfortable in a model's residuals as you are in a conversation about budget tradeoffs - Are AI-forward in how you work: you use LLMs and AI tooling habitually and have a clear point of view on how it changes what an analyst can do - Communicate clearly to non-technical stakeholders and know how to make causal nuance land in a business conversation - Thrive in async, autonomous environments and are energized by building a measurement function from the ground up Nice to Haves - Experience in BaaS, DevRel or open source dev tool companies, connecting marketing spend to pipeline and revenue outcomes - Experience with applied econometrics, time-series modeling, or Bayesian methods for MMM and experimentation - Familiarity with common marketing and analytics tools (Google Ads, Meta, LinkedIn, web analytics, CDPs, BI/visualization tools) WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Обязанности: • Обработка и анализ данных в Excel (основной инструмент работы). • Очистка, нормализация и структурирование данных из различных источников. • Объединение данных из нескольких файлов в единую структуру по заданной логике. • Создание сводных таблиц и отчетов. • Автоматизация задач с использованием формул и макросов (VBA). • Загрузка и обновление данных в базе данных. • Работа с SQL-запросами (выборка, объединение, фильтрация данных). • Подготовка отчетов и дашбордов (Power BI или аналоги). • Самостоятельный разбор задач и поиск оптимальных решений. Требования: • Уверенное владение Excel (формулы, сводные таблицы, Power Query, работа с большими объемами данных). • Базовые знания SQL (SELECT, JOIN, фильтрация данных). • Навыки автоматизации (VBA или альтернативные инструменты). • Опыт работы с BI-инструментами (Power BI или аналоги). • Базовые знания Python (Pandas, обработка данных). Условия: • Работа в международной строительной компании на промышленном проекте федерального значения (Ленинградская область, п. Усть-Луга); • Трудоустройство по ТК РФ с первого рабочего дня и на весь период выполнения проекта; • "Белая" заработная плата без задержек; • Все переработки оплачиваются; • Срочный трудовой договор на период реализации проекта по 2028 г.; • Для иногородних сотрудников комфортное проживание в общежитиях гостиничного типа на территории строительного объекта, спальные и санитарные принадлежности предоставляются; • Столовая в шаговой доступности, 3-разовое питание; • Медицинская помощь; • Для местных сотрудников ежедневный трансфер в Кингисепп, Сосновый бор, п. Усть-Луга и обратно; • Трансфер на выходные в г. Кингисепп; • Ежегодный оплачиваемый отпуск; • СИЗ, спецодежда, по сезону; • Детальные условия и размер заработной платы обсуждаются по результатам собеседования.

Задачи: • Собирать, анализировать и интерпретировать бизнес-данные • Создавать отчёты и дашборды для поддержки принятия решений • Выявлять тренды и предоставлять практические рекомендации • Обеспечивать точность данных и поддерживать качество отчётности Требования: • Опыт работы с SQL, Excel, Power BI или Tableau • Сильные навыки визуализации данных и аналитики • Знание Python или R является плюсом • Отличные навыки решения проблем, внимание к деталям и коммуникабельность • Способность работать самостоятельно в удалённом режиме Условия: • Полная занятость • Удалённая работа (весь мир) Требование к отклику: предоставить обновлённое резюме и видео или аудио представление через Loom. Крайний срок подачи заявок: 16 августа 2026 года.

Lokalise — сервис автоматизации перевода элементов UI в мобильных приложениях. Среди клиентов – Revolut, Starbucks, Mastercard и др. Требования: — 5+ лет опыта — Знание SQL, Python, DBT — Опыт работы с Metabase, Looker или Lightdash Информация о компании: — Размер команды – 200+ — Инвестиции – $56M Вакансия открыта для удалённой работы из Испании, Великобритании или Латвии.