Вакансии

Location: Москва Мы ищем аналитика в команду мотивации корпоративного блока Сбера. Наша команда отвечает за полный цикл мотивационных программ от генерации идеи и проектирования механики до коммуникации с территориальными банками расчёта премий и оценки эффективности запущенных проектов. Обязанности * разработка и проверка гипотез новых методик мотивации и расчёта премиального вознаграждения sql excel * построение моделей расходов на выплату премий с учётом внешних ограничений * проведение исследований и тестирование гипотез на больших массивах данных с обязательным пониманием бизнес логики расчётов * автоматизация проверки качества данных * визуализация результатов расчётов и моделей презентация стейкхолдерам * интерпретация результатов для пользователей глубокое погружение в экономическую сущность расчётов * взаимодействие с бизнес сегментами и другими командами внутри банка для сбора требований и согласования решений * участие в запуске проектов от идеи до расчёта премии и оценки эффективности * работа над эргономикой и автоматизацией текущих процессов в том числе с использованием агентов gigachat дашбордов. Требования * высшее образование * опыт работы с sql не менее 1 года написание сложных запросов оптимизация * продвинутое владение excel сводные таблицы сложные формулы power query * знание методов статистического анализа данных * способность к краткой и выразительной визуализации информации презентации * умение декомпозировать проблему на составляющие задавать правильные вопросы аргументировать свою точку зрения * высокий уровень коммуникативных навыков и умение находить общий язык с заказчиками * опыт работы с python для анализа данных * понимание принципов разработки витрин данных и отчётности * опыт математического моделирования. Условия * комфортный офис рядом с метро Кутузовская * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * уникальная система обучения Сбера для профессионального и карьерного развития * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм, с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.

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.

Location: Москва Workplace: Гибридный О компании В команду центра Мой МТС мы ищем руководителя группы продуктовой аналитики, который сочетает сильную техническую и статистическую экспертизу с навыками управления командой и способен самостоятельно погружаться в сложные аналитические задачи Обязанности управлять командой продуктовой аналитики: планировать и приоритизировать задачи, развивать сотрудников, участвовать в найме и обеспечивать качество аналитических решений; развивать систему продуктовых метрик: формировать ключевые KPI совместно с бизнесом, определять методологии расчёта, анализировать динамику показателей и находить точки роста; развивать продуктовую отчётность: проектировать и совершенствовать дашборды; организовывать аналитическое сопровождение A/B-тестов, обеспечивать корректность методологии и помогать продуктовым командам принимать решения на основе результатов; проводить продуктовые исследования: анализировать пользовательское поведение, проверять гипотезы, выявлять причины изменений метрик и формировать рекомендации; развивать аналитическую инфраструктуру: взаимодействовать с Дата инженерами и смежными командами по вопросам создания витрин, подключения новых источников данных и повышения их качества; работать с продуктовыми командами и руководством: участвовать в формировании продуктовой стратегии, определять аналитические приоритеты и обеспечивать принятие решений на основе данных; самостоятельно решать сложные аналитические задачи, проводить техническое ревью и помогать команде с нестандартными исследованиями. Требования опыт управления командой от 5-6 человек не менее 3 лет, включая найм, развитие сотрудников и управление результативностью. Опыт в продуктовой аналитике не менее 6 лет; SQL - экспертный уровень, Python - продвинутый уровень; глубокое знание теории A/B-тестирования: статистические критерии, проверка гипотез, оценка мощности и размера выборки, доверительные интервалы, ошибки I и II рода, методы повышения чувствительности экспериментов; практический опыт проведения A/B-тестов: от проектирования эксперимента до интерпретации результатов и формирования рекомендаций; опыт работы с системами событийной аналитики: Яндекс Метрика, МТС Аналитика, Google Analytics или аналогичные решения; понимание принципов построения продуктовых метрик, аналитики пользовательского поведения и оценки эффективности продуктовых изменений. Условия оклад + годовой бонус; ДМС с первого месяца работы, включая стоматологию. А еще оплачиваем 50% стоимости полиса ДМС для родственников; страхование от несчастных случаев с 1 месяца работы. Материальная помощь в сложных жизненных ситуациях; прием врачей общей практики и массаж в офисе. Консультация психологов и программа поддержки сотрудников; отпуск 28 календарных дней + 3 дня за ненормированный рабочий день; компенсация расходов на выбор сотрудника, например, на спорт, ипотеку или питание. Специальные предложения от партнеров и скидки от продуктов экосистемы МТС; мобильная связь за счет компании и льготные тарифы для близких; подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети; собственный корпоративный университет, онлайн-библиотека и оплачиваемое внешнее обучения для карьерного развития.

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

Location: Москва Workplace: В офисе О компании Ищем человека, который не просто строит отчеты, а помогает понять, как развивается продукт и какие решения принесут максимальный экономический эффект. Обязанности анализ экономических показателей продукта; оценка эффективности бизнес-моделей и продуктовых решений; построение аналитических моделей и прогнозов; поиск точек роста и выявление возможностей для улучшения продукта; подготовка выводов и рекомендаций на основе данных. Требования сильное понимание экономического анализа; способность разбираться в экономике продукта: доходах, затратах, маржинальности, юнит-экономике; умение работать с большими объемами данных и превращать их в понятные бизнес-выводы; системное мышление и способность самостоятельно находить ответы на сложные вопросы. Условия удобный формат работы: пятидневная рабочая неделя с пн по пт, а удобное время начала и окончания рабочего дня можно согласовать с руководителем; ДМС с первого месяца работы, включая стоматологию. А еще оплачиваем 50% стоимости полиса ДМС для родственников; страхование от несчастных случаев с 1 месяца работы. Материальная помощь в сложных жизненных ситуациях; прием врачей общей практики и массаж в офисе. Консультация психологов и программа поддержки сотрудников; отпуск 28 календарных дней + 3 дня за ненормированный рабочий день; компенсация расходов на выбор сотрудника, например, на спорт, ипотеку или питание. Специальные предложения от партнеров и скидки от продуктов экосистемы МТС; мобильная связь за счет компании и льготные тарифы для близких; подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети; собственный корпоративный университет, онлайн-библиотека и оплачиваемое внешнее обучения для карьерного развития.

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.

Анализ основных показателей : ключевые метрики (Retention, LT, ARPPU, Conversion Rate) в разрезе уровней, ивентов и игровых сессий.

Анализ показателей внутриигровой экономики и основных показателей продукта, поиск точек роста и узких мест, разработка рекомендаций по их изменению;

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