Вакансии

Опыт в продуктовой аналитике от 4–6 лет, обязательно в subscription-продуктах (воронка, онбординг, пейвол, конверсия), желательно в международных мобильных и веб-приложениях в сферах EdTech, Health & Fitness, Wellness, Productivity, Consumer AI или HR-tech.

Практический опыт разработки BI-дашбордов на Grafana.

Опыт: 4–6+ лет. Опыт в продуктовой аналитике в подписных продуктах, особенно в воронках, онбординге, платном доступе и конверсии.

Location: Almaty, Kazakhstan; Astana, Kazakhstan; Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Odesa, Ukraine; Remote.BG, Bulgaria; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We are looking for a Senior Data Analyst with strong product analytics experience to design, execute, and analyze complex experiments that support product and business decisions. You will work independently on analytical tasks and collaborate with team leads and product stakeholders to deliver clear, actionable insights. You will work on a learning platform that helps educators access high quality teaching and learning materials. The project is centered on product analytics, experimentation, and data driven insights that improve product performance and business outcomes. Design complex experiments and A B tests to validate hypotheses and measure business impact Define success metrics and apply statistical methods to ensure reliable results Analyze user behavior, conversion funnels, engagement, and retention Translate analytical findings into actionable recommendations for product improvement Identify opportunities to improve product performance Own analytical tasks end to end in collaboration with team leads and product stakeholders Present findings and recommendations to support data driven decision making 5+ years of experience in Data Analytics including strong hands on experience in Product Analytics Strong experience in product analytics and complex experimentation including A B testing Advanced SQL skills and solid knowledge of statistical analysis Hands-on experience with Tableau and BigQuery. Experience analyzing user behavior, conversion funnels, and product performance metrics Ability to translate complex data into clear business insights Ability to work independently Good communication and stakeholder management skills Experience in eCommerce, subscription based businesses, or digital product analytics Experience with Databricks

Опыт продуктовой аналитики в B2C подписочных сервисах (веб / мобайл)-глубокое понимание воронок и пейволлов. Реальные кейсы, когда ваши выводы на основе данных меняли продуктовые решения.

- Опыт в роли Billing / Payment Analyst, Payment Manager или Anti-Fraud от 1.5 лет.

— Оценка эффекта, затрат и окупаемости новых механик до запуска; — Прогнозные модели и сценарии (best / base / worst);

Это вакансия для опытных продуктовых аналитиков, которым интересно поработать в технически сложном продукте с большой аудиторией.

Ищем сильного продуктового аналитика на международный кроссплатформенный B2C-продукт по подписке. Ваша роль - не просто строить дашборды, а подвергать гипотезы сомнению, приносить инсайты на основе данных и напрямую влиять на роадмап вместе с CEO и CMO.

Сейчас мы ищем в команду сильного Senior Product Analyst / Lead Product Analyst, который возьмёт на себя продуктовые зоны — онбординг, матчинг и монетизацию — и будет отвечать за них end-to-end: от поиска точек роста и формирования инициатив до дизайна экспериментов, оценки эффекта и принятия продуктовых решений.

Кто нам нужен: самостоятельный аналитик, который умеет не только работать с данными, но и находить точки роста, автоматизировать процессы и создавать инструменты, которыми команда действительно пользуется.

— Design and run product experiments end to end - form hypotheses, define test duration and required sample size, assess whether the expected result is achievable, evaluate A/B tests and determine statistical significance;

• 5+ лет опыта в аналитике, преимущественно в продуктовой. • Сильный SQL, хорошая техническая база, Python.

Location: Poland Workplace: remote A company Cybersecurity organization is seeking a Security Operations Center (SOC) Analyst to provide front-line monitoring, investigation, and response across the firm's global environment. The role is intended for a technical professional with foundational cybersecurity knowledge and practical experience in security operations, IT operations, infrastructure support, networking, systems administration, or a related discipline. The analyst will use enterprise security platforms and approved AI-assisted capabilities to assess threats, document findings, execute established response procedures, and escalate significant or ambiguous events. The position provides a development path into senior SOC analysis, incident response, threat hunting, detection engineering, and cybersecurity engineering. Measures of Success Independently investigates routine alerts and follows escalation standards. Produces complete, concise, and defensible investigation records. Demonstrates proficiency with the firm's primary security platforms and playbooks. Contributes measurable improvements to runbooks, detections, automation, or analyst workflows. Builds trusted working relationships with Cybersecurity, Infrastructure, and business stakeholders.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are now one company. Together we build the data movement and transformation tools that data teams around the world rely on. Our Analytics team runs on those same tools every day, so you'll work on a modern data stack and help set best practices for the industry. As a Senior Product Analyst, you'll help product leaders understand how customers adopt, use, and stay with our core Fivetran data movement and dbt platform products as well as new product releases spanning AI, BI, and compute. You'll be a "full-stack" analyst. You'll build the data models, define the metrics, create the dashboards, run the analysis, and turn it all into recommendations that shape what we build next. AI is part of how we work. We expect analysts to use AI tools thoughtfully to accelerate analysis and increase efficiency, while applying their own judgment and validating the results. This is a full-time, flexible hybrid position based in Oakland, CA. Our hybrid work model offers remote flexibility and in-person collaboration; there is no fixed number of required office days, and we encourage teams to meet in person regularly. Why This Role Is Exciting Two product portfolios just came together. Many questions about how customers use Fivetran and dbt together have never been asked. You'll be one of the first people to answer them. Your work drives leadership decisions. You'll focus on adoption, engagement, and retention, the metrics product leaders use to decide where to invest. You own the work end to end, from raw data to the decision it informs. You'll analyze products built for people like you. Our customers are data teams. Technologies You’ll Use SQL (BigQuery / Snowflake) dbt / dbt State Looker / LookML / Omni Hex / Sigma / Google Sheets Claude Code / Codex What You’ll Do Partner with product managers and product line leaders to understand problems and potential solutions with data. Deliver regular analysis and insight on product adoption, engagement, and retention. Proactively investigate trends in user behavior and product usage. Find issues and growth opportunities before anyone asks, and use them to shape product and growth strategy. Define, measure, and monitor the KPIs that show whether our products are healthy and whether the company is on track. Size the potential impact of new product initiatives and recommend how to prioritize them. Analyze product launches and experiments, and recommend what to do next. Find and reduce friction in the funnels users go through to sign up, activate, and adopt our products. Tackle questions where product data meets broader business data, such as revenue, sales, and support. Build and maintain the data models, metrics, and dashboards behind your work. Help new hires, colleagues, and partners understand our data and use it well, so data-informed decisions become the norm. Skills We’re Looking For 5+ years in analytics, mostly in product analytics, ideally at a high-growth B2B or SaaS company. Advanced SQL. You can turn messy, raw data into clean, trustworthy datasets, and write, debug, and explain SQL yourself. Comfort using AI tools in analytics workflows to explore data, draft or improve SQL, automate repetitive work, and synthesize findings. You can evaluate and validate AI-generated output. Hands-on experience building data models, ideally with dbt, creating dashboards in a BI tool such as Looker, Omni, or Tableau, and performing funnel, cohort, and segmentation analysis. A track record of using analysis to drive product or business decisions, not just report on them. You can take an open-ended question with little direction and turn it into a clear analysis and recommendation. Strong attention to detail and prioritization. Clear written and verbal communication, including the ability to explain findings to executives and technical tradeoffs to engineers. Experience influencing cross-functional, distributed teams, both asynchronously and in real time. Bonus Skills ​ Experience designing and analyzing experiments (A/B/n tests), including test design, sample size, significance, and turning results into launch decisions. Deep knowledge of the SaaS customer lifecycle and business metrics, such as ARR (annual recurring revenue), retention, and expansion. Experience defining product events and helping teams self-serve in product analytics tools like Amplitude, Mixpanel, or Heap. Experience developing and scaling a large dbt project. Python or R for analysis. #LI-DJ1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $156,082 — $195,102.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Paris Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. This position is Paris based. We can support your relocation if needed. TEAM Our Gaming team is made up of hybrid-casual, casual and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. The Core Central Team provides hands-on support and mentoring to all Voodoo studios looking to create new casual and midcore games, and anything hybrid in between. ROLE We are looking for a Product Data Analyst who is deeply passionate about data-driven decisions, transforming raw data into clear actionable business insights, and who is constantly driving themselves and the team towards completing the next challenge. By joining this team, you will have a strong impact on the business and a unique opportunity to reach hundreds of millions of users with your insights and recommendations. - Providing valuable insights and recommendations to shape game features, economies and future roadmaps. - Proposing AB Test and benchmarking the good practices in competitors games - Overseeing the tracking design and QA processes to ensure accurate data collection. - Developing dashboards and analysis that provide actionable insights into key product and monetization metrics. - Building and maintaining robust data pipelines - Conducting comprehensive product playtests to refine gameplay mechanics and user experience. PROFILE - 2+ years of experience as a Data Analyst/Scientist in a fast‑paced environment, with strong skills in building production‑ready data pipelines. - Master Degree in Statistics / Math / Engineering / Economics or other quantitative fields - Strong SQL with experience querying large, complex datasets - Experience building production-ready data pipelines - Experience working with Tableau – advantage - Experience with data modeling tools (e.g., dbt) – advantage - High level of analytical and rigorous problem‑solving skills with strong attention to detail - Strong sense of ownership, builder’s mindset, and intellectual curiosity - Ability to turn complex concepts into actionable recommendations - Curiosity for games/player behavior and comfort in ambiguity" - AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work BENEFITS - Competitive salary upon experience - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Premium healthcare coverage SideCare, for your family is 100% borne by Voodoo - Child day care facilities (Les Petits Chaperons rouges) - Wellness activities in our Paris office - Remote days

Задачи: — Сквозная аналитика пользователей и источников; — Анализ GGR/NGR, retention и прогноз LTV; — Анализ партнеров, бонусной нагрузки и A/B-тестов; — Поиск фрода и абьюза, дашборды и отчетность. Требования: — От 2 лет в продуктовой аналитике, от 1 года в iGaming; — Опыт с LATAM/Tier-3; — Сильный SQL, ClickHouse/PostgreSQL; — Владение BI и статистикой A/B-тестов. Условия: — Удаленка, конкурентная зарплата; — Отпуск и больничные; — Рост вместе с продуктом.

Требования: — Уверенная работа с SQL и Python — Опыт работы с AI/ML-продуктами — Анализ LLM-based продуктов, AI Agents, conversational AI — плюс — Умение превращать данные в продуктовые решения О компании: MEDvidi — онлайн-клиника ментального здоровья в США. Развивает текстовых и голосовых AI-ассистентов для пациентов.