Продуктовый аналитик вакансии - в офисе

• Опыт в аналитике от 3 лет. • Python, SQL.

— Анализ поведения пользователей, воронок и удержания (Retention); — Построение витрин данных, дашбордов и событийной аналитики;

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. Job Responsibilities Generate actionable insights based on data to support product and business decisions; Design, run, and analyze A/B tests end-to-end - from hypothesis to implementation and reporting; Define and develop new business and product metrics to measure performance and identify opportunities; Continuously monitor key metrics and detect anomalies or trends that require attention; Conduct deep-dive analyses to identify problem areas and uncover growth opportunities; Write clean and efficient SQL and Python code to extract, transform, and analyze data; Collaborate on implementing new tracking events and properties to improve product analytics coverage; Work closely with CPO, Product Managers, Analysts, Product Designers, and Data Scientists to drive data-informed decisions. You’ll thrive here if you have 3+ years of experience in analytics; Strong understanding of A/B testing and solid knowledge of statistics; Excellent SQL skills - ability to write complex queries, automate reports, build dashboards and data visualizations; Proficient in Python for data analysis, visualization, and automation; Experience working with BI tools, especially Tableau (other tools like Power BI or Amplitude are also acceptable); Deep understanding of metrics and the ability to define them from scratch, grounded in product logic; Strong product thinking - ability to connect data insights with business goals; Qualifications that can be a plus: Experience analyzing paid and affiliate traffic, with a solid understanding of advertising, user tracking, and attribution principles. ML expertise: cluster analysis, regression models, etc; Airflow; GitLab; dbt; Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Recruitment process HR interview (45 min); Technical interview (1,5 hours); Final interview (1 hour).

• 2+ года в продуктовой аналитике, уверенный SQL. • Знание статистики, A/B-тестов, воронок и когортного анализа.

В команду Kaspi Pay требуется специалист по персонализации, который умеет анализировать клиентские данные и превращать их в конкретные решения. Основные задачи включают изучение поведения партнёров, создание сегментов, запуск персонализированных предложений и сценариев, а также развитие активации, удержания и использования продуктов Kaspi Pay. Необходимо проверять гипотезы, оценивать результаты запусков, выбирать оптимальные продукты, каналы и моменты для предложений, а также взаимодействовать с командами продукта, аналитики и дизайна. Требования к кандидату: уверенное владение SQL и способность самостоятельно работать с данными, опыт в CRM, CVM, Growth или Product Analytics, знание сегментации, A/B-тестирования и работы с контрольными группами, опыт в retention, activation, cross-sell или lifecycle-коммуникациях, а также умение доводить проекты от идеи до запуска с измеримым результатом.

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

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.

▪️Роль #ProductAnalyst #RiskAnalyst. Актуально для продуктовых аналитиков и риск-аналитиков.

Компания Winline, работающая в сфере ставок, приглашает на позицию продуктового аналитика CRM-системы уровня Middle/Senior с офисом в Москве. В обязанности входит самостоятельное ведение полного цикла работы: от получения бизнес-запроса и анализа задачи, через определение целевого сегмента и механики, создание сценария в CRM, запуск и мониторинг результатов, до выявления возможностей для улучшения.

The position is on-site in Cyprus or Kazakhstan.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring Product Analysts to embed across the product organization and serve as strategic analytics partners to teams across Healthcare, Algorithms, AI, Hardware, and other product areas. In this role, you will help define how WHOOP measures product success, uncover insights that shape roadmap decisions, and translate complex data into clear recommendations that improve the member experience. You will bring strong analytical rigor, product intuition, and intellectual curiosity to help teams make faster, smarter, and more impactful decisions with data. RESPONSIBILITIES - Partner with Product, Engineering, Research, Design, and cross-functional leadership to inform strategy and roadmap decisions with data. - Own the analytical narrative for your product area, illustrated by defining KPIs, refining measurement frameworks, and surfacing insights that drive action. - Support experimentation and feature launches end-to-end: from defining success metrics to post-launch analysis and iteration. - Build scalable, self-serve reporting & tooling that lets your stakeholders make decisions without waiting on you. - Develop deep context on your product domain and use it to ask sharper questions, challenge assumptions, and push the product forward. - Proactively surface insights and recommendations that go beyond the ask; identify opportunities others haven't seen yet. - Collaborate with a high-performance analytics team in a fast-paced environment where intellectual curiosity is the baseline expectation. QUALIFICATIONS - You've done this before: 2-6+ years in an analytical role where you owned business-critical metrics or initiatives. (We're hiring across levels; we'll figure out the right fit together.) - You use AI tools proactively and hold AI-assisted work to the same bar as your own. - You can take a vague question, wrangle the right data, isolate insights, and communicate actionable recommendations to stakeholders who aren't data people. - You're a strong storyteller: you know how to make a compelling, concise case for action. - You're technically sharp: advanced SQL is table stakes. Familiarity with modern data stacks (Snowflake, dbt, ELT workflows) and visualization tools (Hex, Sigma, Amplitude, Looker) is a plus. - You have product sense: you think about the member experience, not just the numbers. - You're curious about how things work. Algorithms, hardware, health science: you don't need to be an expert, but you should want to understand. - You're a self-starter who thrives in ambiguity and doesn't wait to be told what to work on. - TEAMS WE'RE HIRING FOR We’re looking for multiple analysts to work across our product teams. During the interview process, we'll work with you to find the right team fit based on your interests and strengths: - AI Product: The future of intelligent coaching and personalized insights powered by AI/ML. - Algorithms: Where the science meets the product; sleep, recovery, strain, and how algorithmic outputs translate into member value. - Hardware Product: The physical device experience; sensors, wearability, and next-gen hardware. - Healthcare Product: Building WHOOP's Health Operating System; health outcomes, clinical features, personalized wellness. 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 $100,000 - $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.