Вакансии

Требования: — Наличие не менее 3 лет опыта в продуктовой аналитике, включая работу с B2C Web2Web. — Уверенное владение SQL и Python (pandas). — Практический опыт проведения A/B-тестирования и знания статистики. — Понимание подписочной модели и ключевых продуктовых метрик. О компании: Продуктовая компания, занимающаяся развитием B2C-продуктов в форматах Web2Web и Web2App. Формат работы: удалённо, гибкий график. Местоположение: Весь мир.

Location: Remote (Ukraine) [https://app.ashbyhq.com/api/images/user-content/d5fc9a0c-9608-448b-b96f-2a4966f020bf/b1f66826-c3f7-487b-8301-afa39475d583/G_LINK_OWN_COVER_1.png] About us: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team comprises over 400 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team. Our mission: Become a stepping stone on our customers’ journeys of self-improvement. Our values: - Deliver what matters - Respect and support others - Initiate and own - Voiceopenly - Execute with quality If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com http://gismart.com. About project: Testora is a self-discovery app that helps users explore and analyze their personality, intelligence, relationships, and career strengths through engaging tests. The app offers personalized challenges, progress reports, and habit tracking, making Testora your go-to tool for self-awareness, stronger relationships, and personal growth. Responsibilities - Engage with key stakeholders (product managers, marketers) to identify needs and shape the analytics strategy. - Translate stakeholders’ business questions into concrete metrics and analytical tasks; deliver decisions, not raw numbers. - Build and maintain dashboards, reports, and key metrics to support data-driven decision-making. - Build and validate LTV predictions for the web funnel, including early/predicted LTV on short cohort history. - Design event taxonomy and Amplitude dashboards for specific PMM, PM, and UAM requests. - Analyze the web funnel: diagnose drop-offs between steps, assess the impact of changes on conversion and monetization. - Compute product unit economics: ARPU, retention, payback, and ROAS tied to UA data. Requirements - 3+ years as a Product Analyst. - Strong SQL: cohort analysis, retention, revenue aggregations. - Hands-on LTV/pLTV experience: understands the methods (cohort extrapolation, survival, ML regression), their limitations with small data, and how to validate predictions. - Amplitude: dashboard building, event taxonomy. - Understanding of mobile/web subscription-product metrics and UA logic (CPI, ROAS, ARPU, payback). - A/B testing methodology. - Hands-on experience with BI tools such as Tableau or Power BI. - Effective communication and presentation skills to convey analysis results clearly and compellingly. Would be a plus - Python skills (pandas, data visualization, statistics) for data manipulation and analysis. - Experience with MMP data (AppsFlyer/Adjust). - Hands-on experience with subscription products. - Data engineering. - Direct experience working with a UA team. Employee Benefits: - Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs - Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy and autonomous hub) and 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace - Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday - Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year - 100% Sick Leave Compensation - Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs - Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools - Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses - Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart - Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs

Задачи: — Работа в продукте для B2B-продаж с AI-автоматизацией. Требования: — Педантичность до невероятности и внимание к деталям. — Широкий кругозор и чувство прекрасного. — Умение работать с нейросетями Claude и GPT для генерации интерфейсов. — Готовность вручную доводить продукт до идеала. — Базовый уровень английского для чтения документации, не критично. Условия: — Удалённая работа с гибким графиком, возможна работа из любой точки мира.

Требования: — Опыт работы продуктовым аналитиком, аналитиком данных не менее 3-х лет — Знание продуктовых метрик, их взаимосвязи и способов влияния на них — Знание методов сбора и анализа данных, включая уверенное владение SQL, использование Python для анализа данных — Умение планировать и проводить A/B-тестирование, корректно интерпретировать результаты экспериментов

You’ve got the spark, the curiosity that makes you ask “why?” when others move on. You love solving puzzles, learning new tools, and understanding how things work (and how they break).

Проведение аналитических исследований контента, включая фильмы, сериалы, шоу, премьеры и эксклюзивы; Анализ популярности контента, динамики просмотров, вовлечённости и поведения пользователей;

Location: Prague Job Overview Wargaming is looking for a proactive, excited and determined Product Analyst to join WoT Analytics team. In this role, you'll work at the intersection of data, product strategy, and business impact, transforming complex questions into actionable insights that directly influence product direction, user experience, and business outcomes. You'll lead end-to-end analytical projects, partner closely with Product, Engineering, Design, and Business teams, and become a trusted advisor on everything from product performance to user behavior to monetization optimization. Your work will directly support decision-making processes across the organization. What will you do? Lead exploratory analysis and apply statistical methods to solve complex product and business problems, validating hypotheses with data Work autonomously on end-to-end analysis projects focused on product metrics, feature impact, player behavior, and opportunities to improve engagement, retention, monetization, or product health Define and maintain product metrics, ensuring consistent KPI definitions and clear relationships between engagement, retention, monetization, and overall product health Build dashboards and reports that support product, business, and operational decisions Develop reproducible analytical workflows using modern analytics tools (Python/R, AB test platforms, BI tools, AI) Leverage AI and machine learning techniques to enhance analytical processes, automate insights, and develop predictive models for business needs Frame ambiguous problems into hypotheses and execution plans, aligning stakeholders on scope and success metrics Promote data-driven decision-making and contribute to shared analytical standards, documentation, and best practices Build deep domain expertise in your product area (e.g., monetization, retention, economy, live operations, platform analytics, user acquisition) What are we looking for? 3+ years of experience in Product Analytics, Data Analytics, or a related role, preferably in digital products or gaming. Analytical ownership: Ability to turn ambiguous product questions into structured investigations, actionable insights, and recommendations. Strong SQL and Python skills: Proficiency in complex SQL queries and hands-on experience with Python for data processing and analysis. Data visualization: Experience with BI tools such as Tableau, Looker, Power BI, or similar, and the ability to communicate insights through effective visualizations. Statistical expertise: Solid understanding of experimental design, segmentation, hypothesis testing, and statistical methods. AI-driven analytics: Experience applying AI/ML to business and product challenges, automate analytical workflows, and develop predictive solutions. Product mindset and autonomy: Ability to independently navigate ambiguous problems, identify opportunities, and drive analytical projects from exploration to impact. Communication and collaboration: Strong storytelling skills and experience aligning cross-functional stakeholders on analytical scope, success metrics, and recommendations. English proficiency: B2 level or higher, written and spoken. Work mode Hybrid (2-3 days of work from the office). Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Prague include: 5 weeks of Annual Leave per calendar year Additional paid time off Sick Leave Compensation, Maternity & Paternity Leave Benefits Career development and education opportunities within the company Meal card contribution Public transportation allowance Premium private healthcare Mental well-being program (iFeel) Multisport Employee discounts Personal Gaming Account Coffee, fruits, and snacks in the office Company events Seniority Awards Referral program - You can recommend the best talents to the company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Belgrade Job Overview Wargaming is looking for a proactive, excited and determined Product Analyst to join WoT Analytics team. In this role, you'll work at the intersection of data, product strategy, and business impact, transforming complex questions into actionable insights that directly influence product direction, user experience, and business outcomes. You'll lead end-to-end analytical projects, partner closely with Product, Engineering, Design, and Business teams, and become a trusted advisor on everything from product performance to user behavior to monetization optimization. Your work will directly support decision-making processes across the organization. What will you do? Lead exploratory analysis and apply statistical methods to solve complex product and business problems, validating hypotheses with data Work autonomously on end-to-end analysis projects focused on product metrics, feature impact, player behavior, and opportunities to improve engagement, retention, monetization, or product health Define and maintain product metrics, ensuring consistent KPI definitions and clear relationships between engagement, retention, monetization, and overall product health Build dashboards and reports that support product, business, and operational decisions Develop reproducible analytical workflows using modern analytics tools (Python/R, AB test platforms, BI tools, AI) Leverage AI and machine learning techniques to enhance analytical processes, automate insights, and develop predictive models for business needs Frame ambiguous problems into hypotheses and execution plans, aligning stakeholders on scope and success metrics Promote data-driven decision-making and contribute to shared analytical standards, documentation, and best practices Build deep domain expertise in your product area (e.g., monetization, retention, economy, live operations, platform analytics, user acquisition) What are we looking for? 3+ years of experience in Product Analytics, Data Analytics, or a related role, preferably in digital products or gaming. Analytical ownership: Ability to turn ambiguous product questions into structured investigations, actionable insights, and recommendations. Strong SQL and Python skills: Proficiency in complex SQL queries and hands-on experience with Python for data processing and analysis. Data visualization: Experience with BI tools such as Tableau, Looker, Power BI, or similar, and the ability to communicate insights through effective visualizations. Statistical expertise: Solid understanding of experimental design, segmentation, hypothesis testing, and statistical methods. AI-driven analytics: Experience applying AI/ML to business and product challenges, automate analytical workflows, and develop predictive solutions. Product mindset and autonomy: Ability to independently navigate ambiguous problems, identify opportunities, and drive analytical projects from exploration to impact. Communication and collaboration: Strong storytelling skills and experience aligning cross-functional stakeholders on analytical scope, success metrics, and recommendations. English proficiency: B2 level or higher, written and spoken. Work mode Hybrid (2-3 days of work from the office) Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include: Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave Compensation, Maternity Leave Benefits Premium Private Health Insurance Career development and education opportunities within the company English clubs and platform for learning languages Mental well-being program (iFeel) Commuting allowance Company events FitPass membership Discounts for employees Personal Gaming Account Coffee, fruits, and snacks in the office On-site canteen with subsidized prices for food and drinks Seniority Awards Referral program - you can recommend the best talents to the Company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Vilnius Job Overview Wargaming is looking for a proactive, excited and determined Product Analyst to join WoT Analytics team. In this role, you'll work at the intersection of data, product strategy, and business impact, transforming complex questions into actionable insights that directly influence product direction, user experience, and business outcomes. You'll lead end-to-end analytical projects, partner closely with Product, Engineering, Design, and Business teams, and become a trusted advisor on everything from product performance to user behavior to monetization optimization. Your work will directly support decision-making processes across the organization. What will you do? Lead exploratory analysis and apply statistical methods to solve complex product and business problems, validating hypotheses with data Work autonomously on end-to-end analysis projects focused on product metrics, feature impact, player behavior, and opportunities to improve engagement, retention, monetization, or product health Define and maintain product metrics, ensuring consistent KPI definitions and clear relationships between engagement, retention, monetization, and overall product health Build dashboards and reports that support product, business, and operational decisions Develop reproducible analytical workflows using modern analytics tools (Python/R, AB test platforms, BI tools, AI) Leverage AI and machine learning techniques to enhance analytical processes, automate insights, and develop predictive models for business needs Frame ambiguous problems into hypotheses and execution plans, aligning stakeholders on scope and success metrics Promote data-driven decision-making and contribute to shared analytical standards, documentation, and best practices Build deep domain expertise in your product area (e.g., monetization, retention, economy, live operations, platform analytics, user acquisition) What are we looking for? 3+ years of experience in Product Analytics, Data Analytics, or a related role, preferably in digital products or gaming. Analytical ownership: Ability to turn ambiguous product questions into structured investigations, actionable insights, and recommendations. Strong SQL and Python skills: Proficiency in complex SQL queries and hands-on experience with Python for data processing and analysis. Data visualization: Experience with BI tools such as Tableau, Looker, Power BI, or similar, and the ability to communicate insights through effective visualizations. Statistical expertise: Solid understanding of experimental design, segmentation, hypothesis testing, and statistical methods. AI-driven analytics: Experience applying AI/ML to business and product challenges, automate analytical workflows, and develop predictive solutions. Product mindset and autonomy: Ability to independently navigate ambiguous problems, identify opportunities, and drive analytical projects from exploration to impact. Communication and collaboration: Strong storytelling skills and experience aligning cross-functional stakeholders on analytical scope, success metrics, and recommendations. English proficiency: B2 level or higher, written and spoken. What additional skills will help you stand out? Experience in gaming, entertainment, or consumer product analytics Experience with AB testing platforms and experimentation best practices Experience working with Snowflake, Cloudera Impala / Hive, Oracle SQL Knowledge and practical application of machine learning algorithms Rich gaming experience in different games and over 1000 World of Tanks battles Work mode Hybrid (2-3 days of work from the office) The salary range for this role in Vilnius is EUR 4500-5600 monthly gross. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Vilnius include: Additional paid time off Sick Leave Compensation Pregnancy and Childbirth Leave Benefit Career development and education opportunities within the company Meal Allowance Premium Private Health Care Mental well-being program (iFeel) Perks discounts platform (over 450 exclusive discounts) Personal Gaming Account Coffee, fruits, and snacks in the office Company events Seniority Awards Referral program - You can recommend the best talents to the company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Nicosia Job Overview Wargaming is looking for a proactive, excited and determined Product Analyst to join WoT Analytics team. In this role, you'll work at the intersection of data, product strategy, and business impact, transforming complex questions into actionable insights that directly influence product direction, user experience, and business outcomes. You'll lead end-to-end analytical projects, partner closely with Product, Engineering, Design, and Business teams, and become a trusted advisor on everything from product performance to user behavior to monetization optimization. Your work will directly support decision-making processes across the organization. What will you do? Lead exploratory analysis and apply statistical methods to solve complex product and business problems, validating hypotheses with data Work autonomously on end-to-end analysis projects focused on product metrics, feature impact, player behavior, and opportunities to improve engagement, retention, monetization, or product health Define and maintain product metrics, ensuring consistent KPI definitions and clear relationships between engagement, retention, monetization, and overall product health Build dashboards and reports that support product, business, and operational decisions Develop reproducible analytical workflows using modern analytics tools (Python/R, AB test platforms, BI tools, AI) Leverage AI and machine learning techniques to enhance analytical processes, automate insights, and develop predictive models for business needs Frame ambiguous problems into hypotheses and execution plans, aligning stakeholders on scope and success metrics Promote data-driven decision-making and contribute to shared analytical standards, documentation, and best practices Build deep domain expertise in your product area (e.g., monetization, retention, economy, live operations, platform analytics, user acquisition) What are we looking for? 3+ years of experience in Product Analytics, Data Analytics, or a related role, preferably in digital products or gaming. Analytical ownership: Ability to turn ambiguous product questions into structured investigations, actionable insights, and recommendations. Strong SQL and Python skills: Proficiency in complex SQL queries and hands-on experience with Python for data processing and analysis. Data visualization: Experience with BI tools such as Tableau, Looker, Power BI, or similar, and the ability to communicate insights through effective visualizations. Statistical expertise: Solid understanding of experimental design, segmentation, hypothesis testing, and statistical methods. AI-driven analytics: Experience applying AI/ML to business and product challenges, automate analytical workflows, and develop predictive solutions. Product mindset and autonomy: Ability to independently navigate ambiguous problems, identify opportunities, and drive analytical projects from exploration to impact. Communication and collaboration: Strong storytelling skills and experience aligning cross-functional stakeholders on analytical scope, success metrics, and recommendations. English proficiency: B2 level or higher, written and spoken. Work mode Hybrid (2-3 days of work from the office) Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include: 21 days annual leave (additional days based on years of service: up to 25 days) Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave (10 days top-up to statutory allowance per year) Maternity Leave (18 weeks top-up to statutory allowance per case) Career development and education opportunities within the company English Language courses fully covered by the company upon Manager’s approval Private Health Care Mental well-being program (iFeel) Onsite gym and spa Free parking close to the Nicosia offices, based on availability Free drinks-equipped kitchen in every floor building Eurobank benefits (if applicable) Employee discounts (e.g. restaurants, bars, etc.) Personal Gaming Account Onsite canteen with subsidized prices for food and drinks Company events, Social Clubs Seniority Awards Referral program - You can recommend the best talents to the company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Warsaw Job Overview Wargaming is looking for a proactive, excited and determined Product Analyst to join WoT Analytics team. In this role, you'll work at the intersection of data, product strategy, and business impact, transforming complex questions into actionable insights that directly influence product direction, user experience, and business outcomes. You'll lead end-to-end analytical projects, partner closely with Product, Engineering, Design, and Business teams, and become a trusted advisor on everything from product performance to user behavior to monetization optimization. Your work will directly support decision-making processes across the organization. What will you do? Lead exploratory analysis and apply statistical methods to solve complex product and business problems, validating hypotheses with data Work autonomously on end-to-end analysis projects focused on product metrics, feature impact, player behavior, and opportunities to improve engagement, retention, monetization, or product health Define and maintain product metrics, ensuring consistent KPI definitions and clear relationships between engagement, retention, monetization, and overall product health Build dashboards and reports that support product, business, and operational decisions Develop reproducible analytical workflows using modern analytics tools (Python/R, AB test platforms, BI tools, AI) Leverage AI and machine learning techniques to enhance analytical processes, automate insights, and develop predictive models for business needs Frame ambiguous problems into hypotheses and execution plans, aligning stakeholders on scope and success metrics Promote data-driven decision-making and contribute to shared analytical standards, documentation, and best practices Build deep domain expertise in your product area (e.g., monetization, retention, economy, live operations, platform analytics, user acquisition) What are we looking for? 3+ years of experience in Product Analytics, Data Analytics, or a related role, preferably in digital products or gaming. Analytical ownership: Ability to turn ambiguous product questions into structured investigations, actionable insights, and recommendations. Strong SQL and Python skills: Proficiency in complex SQL queries and hands-on experience with Python for data processing and analysis. Data visualization: Experience with BI tools such as Tableau, Looker, Power BI, or similar, and the ability to communicate insights through effective visualizations. Statistical expertise: Solid understanding of experimental design, segmentation, hypothesis testing, and statistical methods. AI-driven analytics: Experience applying AI/ML to business and product challenges, automate analytical workflows, and develop predictive solutions. Product mindset and autonomy: Ability to independently navigate ambiguous problems, identify opportunities, and drive analytical projects from exploration to impact. Communication and collaboration: Strong storytelling skills and experience aligning cross-functional stakeholders on analytical scope, success metrics, and recommendations. English proficiency: B2 level or higher, written and spoken. Work mode Full-time employment Remote from Poland Type of Contract and Salary Employment Contract (umowa o prace) The salary range for this role is 17000 - 22000 PLN gross monthly ( The final salary within the range will depend on the candidate’s experience, skills, and performance during the interview. Please note that this salary range applies to Poland; for other locations, it might be different.) Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Warsaw include: Additional paid time off (5 Personal Days, Birthday Leave) on top of the statutory minimum Sick Leave 100% Compensation (10 days per calendar year) Career development and education opportunities within the company Premium Private Health Care Mental well-being program (iFeel) Multisport card Personal Gaming Account Company events Seniority Awards Referral program - you can recommend the best talents to the Company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Чем предстоит заниматься. исследовать всю воронку покупки: от ввода данных пассажира до оплаты, дополнительных услуг и post-booking-сценариев;

- Исследовать рынок: изучать сотни продуктов, находить лучшие решения и паттерны. - Создавать кликабельные HTML-прототипы с помощью Claude / ChatGPT.

Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно Ищем продуктового аналитика в команду персонализации. Тебе предстоит оценивать эффективность персональных предложений, их влияние на выручку, маржу и LTV, проводить A/B-тесты и совместно с ML-командой улучшать алгоритмы подбора предложений для покупателей Задачи Анализировать влияние персонализации на ключевые бизнес-метрики и находить точки роста для продуктовых и бизнес-команд Оценивать эффективность персональных предложений и коммуникаций, включая влияние на выручку, маржу, LTV, частоту покупок и отток клиентов Проектировать и проводить A/B-тесты, оценивать статистическую значимость результатов и инкрементальный эффект от внедрения новых механик персонализации Анализировать эффективность алгоритмов подбора предложений, работать с контрольными группами и оценивать качество моделей Исследовать сценарии оптимизации персональных предложений с учётом бюджетов, коммуникационных ограничений и бизнес-приоритетов Требования Опыт работы в продуктовой, маркетинговой или CVM-аналитике от 1–3 лет, желательно в e-commerce или ритейле Уверенное владение SQL и Python для анализа данных, проверки гипотез и статистических расчётов Понимание принципов персонализации, работы с клиентской базой, оценки инкрементальности и ключевых продуктовых метрик Опыт проведения A/B-тестов, работы с контрольными группами и применения методов математической статистики Умение самостоятельно формулировать и проверять гипотезы, интерпретировать результаты и находить возможности для улучшения бизнес-показателей Будет плюсом Опыт работы с uplift-моделированием, Next Best Offer, LTV, оптимизационными задачами и большими данными Условия Трудоустройство в аккредитованную IT-компанию ДМС со стоматологией и льготными условиями для членов семьи Возможность работать удаленно, гибридно или в офисе Корпоративные скидки от компании и партнеров, бесплатная подписка Магнит Премиум с повышенным кешбэком по программе лояльности М+ Поддержку в развитии через обучение, конференции и митапы, а также программу для руководителей - Leadership club IT‑комьюнити - среду, где быстрее находишь решения, делишься практиками, пробуешь новые роли и растешь от эксперта в стекe до лидера инициатив Социально - психологическую поддержку от >370 специалистов по направлениям: юристы, психологи, врачи, финансовые и ЗОЖ советник Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно

Location: Australia What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Security Operations Center Location: Remote Australia Compensation Range: $180,000 to $215,000 AUD base plus bonus and equity. What You’ll Do: As our Principal SOC Analyst in Australia, you're the most senior technical voice on the APAC SOC floor, working Monday to Friday. You'll take ownership of the hardest intrusions, turn what the floor sees every day into durable detection and product improvements, and raise the bar for every analyst around you. You'll lead by example as a cultural driver for the team, and you'll help build our Human Led Agentic SOC, where agents handle volume and humans own quality. You'll work closely with Product, Product Research and Detection Engineering & Threat Hunting. We'll also support you in publishing your research through Huntress blogs, webinars and conference talks. Responsibilities: Own complex, multi-host intrusions end to end, from triage through forensic timelining, root cause and remediation, across endpoint, identity (Microsoft 365 / Google Workspace) and SIEM telemetry Act as the SOC's technical partner to Product, Product Research and DE&TH: turn recurring floor pain points into lasting detection, suppression and product fixes rather than workarounds Perform advanced static and dynamic malware analysis, research emerging tradecraft, and publish findings through Huntress content Find repeatable investigation patterns and toil, then design, build and maintain both automation and human-led agentic workflows with Workflow Engine owners, Product and Engineering, with inline QC/QA built in from the start Own quality on the floor: grade AI agent and analyst output, trace misses to their root cause and fix them at the source, and act as final technical reviewer on detection tuning, suppression decisions and high-impact incident reports Provide technical leadership and mentoring across every level of the team: set investigation standards, run case reviews, ride-alongs and knowledge sessions, advise the Senior Manager on SOC direction, and help assess candidates in the hiring process Be a cultural driver for the team: model Give a $hit, Warrior Spirit and Outcome-Obsessed, keep a low-ego, share-everything team culture, and champion the “agents handle volume, humans own quality” mindset Handle threat-related escalations from SOC Support, writing clear explanations of complex activity and its business risk for technical and non-technical audiences What You Bring To The Team: 6+ years in SOC, Incident Response, DFIR or MDR roles, including leading multi-host intrusion investigations Deep knowledge of attacker tradecraft across MITRE ATT&CK (credential access, lateral movement, persistence, defense evasion, living-off-the-land) and how to detect it Deep forensic and investigation experience across Windows, macOS and Linux Strong cloud identity investigation and remediation experience in Microsoft 365 / Entra ID and Google Workspace Advanced static and dynamic malware analysis, including extracting IOCs and determining capability and intent Strong enterprise Windows administration (Active Directory, Group Policy, PowerShell, domain trusts) and core networking knowledge Strong hands-on AI skills: daily use of tools such as Claude and Codex for analysis, research and building automation and agentic workflows (Python, PowerShell or similar), with sound judgment about validating their output Understanding of inline quality delivery: building QC/QA into workflows as they run (quality gates, statistical sampling, drift detection and regression testing) rather than relying on after-the-fact review Proven technical leadership and mentoring: you've raised the standard of a team, not just your own work, and you explain complex findings clearly in writing and verbally Preferred Qualifications: Published research, blogs, conference talks or open-source security tooling Detection engineering experience: writing and tuning detections and SIEM queries Investigations in other cloud platforms such as Azure, AWS or GCP Previous MSP/MSSP/MDR experience and familiarity with RMM tools What We Offer: Fully remote work At least one annual trip to the US for Summer Summit, with additional local events in Australia! New starter home office set up reimbursement ($800 AUD) 12 weeks paid parental leave for both primary and secondary carers Monthly digital allowance for personal phone and internet costs ($185 AUD) Monthly home office tech stipend to upgrade or replace equipment ($40 AUD) Subsidised private health insurance through our preferred provider Stock options for all full-time employees Access to the BetterUp platform for coaching, personal, and professional growth People from all culturally diverse backgrounds, including Aboriginal & Torres Strait Islander Peoples, are encouraged to apply. Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

We are looking for a proactive and experienced BI Analyst to build and elevate our data infrastructure! You will take ownership of our DWH architecture, build reliable ELT pipelines, and create actionable Power BI dashboards for product and business teams.

Location: Almaty, Kazakhstan Workplace: hybrid At inDrive, we're not just building a ride-hailing app — we're building a financial platform at global scale. Our lending product is one of the fastest-growing verticals in the company. We're looking for a Senior Product Analyst who thrives where data work directly drives product and revenue decisions. This is a rare combination: the stability of a well-funded global company with the speed and ownership of an early-stage product. If you want your analysis to shape a product used by millions, we'd love to talk. Key Responsibilities Define the metrics that matter — design, calculate, and monitor KPIs for new product features and initiatives across the credit funnel Drive funnel optimization — identify where users drop off, why, and which levers move conversion at each stage Surface growth opportunities — dig into data to find product directions worth betting on Assess business value — model expected profit from new projects and features before launch, and track actual vs. forecast after Run A/B experiments end-to-end — from hypothesis and test design through statistical analysis to rollout decisions Define pricing strategy — run tests and analyze how rate, term, and eligibility settings affect conversion, default rates, and portfolio health Build the analytics foundation — maintain documentation, create data marts, and partner with the Data team to ensure clean, reliable product data Translate findings into decisions — deliver crisp recommendations to product and business teams so insights actually change what gets built Skills, Knowledge and Expertise 3+ years in product analytics or data science, with a track record of influencing product decisions — not just reporting numbers Strong statistical foundation: A/B testing, causal inference, time series Advanced SQL — comfortable writing and optimizing complex queries across large datasets Python proficiency — pandas, numpy, and the rest of the standard data stack Experience with BI and visualization tools: Redash, Tableau, or similar Structured thinking and a product mindset — you balance analytical rigor with business pragmatism Bonus: background in fintech, lending, or marketplace products at scale English: Professional Working Proficiency Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Kazakhstan Workplace: hybrid At inDrive, we're not just building a ride-hailing app — we're building a financial platform at global scale. Our lending product is one of the fastest-growing verticals in the company. We're looking for a Senior Product Analyst who thrives where data work directly drives product and revenue decisions. This is a rare combination: the stability of a well-funded global company with the speed and ownership of an early-stage product. If you want your analysis to shape a product used by millions, we'd love to talk. Key Responsibilities Define the metrics that matter — design, calculate, and monitor KPIs for new product features and initiatives across the credit funnel Drive funnel optimization — identify where users drop off, why, and which levers move conversion at each stage Surface growth opportunities — dig into data to find product directions worth betting on Assess business value — model expected profit from new projects and features before launch, and track actual vs. forecast after Run A/B experiments end-to-end — from hypothesis and test design through statistical analysis to rollout decisions Define pricing strategy — run tests and analyze how rate, term, and eligibility settings affect conversion, default rates, and portfolio health Build the analytics foundation — maintain documentation, create data marts, and partner with the Data team to ensure clean, reliable product data Translate findings into decisions — deliver crisp recommendations to product and business teams so insights actually change what gets built Skills, Knowledge and Expertise 3+ years in product analytics or data science, with a track record of influencing product decisions — not just reporting numbers Strong statistical foundation: A/B testing, causal inference, time series Advanced SQL — comfortable writing and optimizing complex queries across large datasets Python proficiency — pandas, numpy, and the rest of the standard data stack Experience with BI and visualization tools: Redash, Tableau, or similar Structured thinking and a product mindset — you balance analytical rigor with business pragmatism Bonus: background in fintech, lending, or marketplace products at scale English: Professional Working Proficiency Why join us Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.