Lead Data Analyst

Playrix — одна из самых успешных компаний по разработке мобильных игр в мире. По доходам входим в топ-3 в мире и первые по доходам среди всех мобильных приложений в EMEA. Наши игры установили 2,3 миллиарда раз (треть населения Земли), кажд…

playrix На сервисе с: 19.08.26 17:42

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Playrix — одна из самых успешных компаний по разработке мобильных игр в мире. По доходам входим в топ-3 в мире и первые по доходам среди всех мобильных приложений в EMEA. Наши игры установили 2,3 миллиарда раз (треть населения Земли), каждый день в наши игры играет более 30 миллионов людей по всему миру!

Ищем лидера команды продуктовой аналитики, которому предстоит вести сложные исследования, совершенствовать процессы и инструменты, драйвить команду аналитиков. Поможешь нам развивать одни из самых популярных казуальных мобильных игр в мире?

О команде: наша аналитика ключевой драйвер решений. Мы строим культуру, где важны аргументы, а аналитики — полноценные партнёры продюсеров и геймдизайнеров.

Всё, что ты находишь в данных, быстро превращается в действия: идеи и выводы идут в работу и реально меняют продукт. Команды компактные, зоны ответственности прозрачные, масштаб — десятки миллионов игроков, 4+ петабайта данных, 3B revenue.

2 ключевых вызова этой роли:

- Оwnership за эксперименты на продукте: от качества и тайминга A/B-тестов до методологии и итоговых выводов. Нужно стать точкой входа по всем вопросам экспериментов и выстроить систему, в которой эксперименты дают максимум пользы продукту.

- Усилить влияние аналитики на развитие продукта: прорабатывать гипотезы вместе с командой, сопровождать ключевые инициативы от идеи до раскатки, искать конфигурации, которые кратно повысят эффективность решений.

Нас стек:

Используем AWS, собираем данные через Appsflyer (маркетинговые) и Amplitude (продуктовые)
Сырые данные в S3, ETL на Airflow, подготовленные таблицы и витрины в Redshift. Data Quality, lineage, catalog – Monte Carlo
Аналитики крутят данные SQL-ем и Python-ом в Jupyter/Databricks ноутбуках, прототипы дашбордов делаем в Tableau
Развиваем self-service и аналитические продукты для потребителей данных, аналитиков разгружаем от рутины

Мы ожидаем:

Опыт в развитии проектов, приводивших к реальному росту метрик продукта; важно, чтобы ответственность за результат была на тебе. В идеале, у тебя есть опыт организации работы нескольких независимых команд
Уверенные и актуальные знания Python и SQL
Любовь к анализу сложных проблем, желание вовсем дойти до сути
Умение отделять важные для бизнеса задачи от просто интересных
Опыт руководства командой в анализе данных от 1 года
Актуальный опыт проведения сложных исследований, регулярная работа/управление А/В
Проактивная позиция, предпринимательское мышление, способность брать на себя ответственность за результат

Мы предлагаем:

Гибкость в работе. Для большинства позиций у нас гибкий график и удалённый формат работы. Мы ориентируемся только на результат.

Забота о здоровье и well-being:

1. Предоставляем ДМС для сотрудников, их партнеров и детей, компенсируем онлайн-сессии с психологом, включая индивидуальные, семейные и детские консультации.Сохраняем 100% зарплату во время отпуска или больничного без лишних справок. А для особых случаев предоставляем дополнительные выходные.

2. Поддерживаем здоровый образ жизни и компенсируем покупку спортивных абонементов и подписку на фитнес-приложения, а также массаж, посещение SPA и восстановительные процедуры.

Развитие и обучение:

1. Оплачиваем участие в профильных конференциях и курсах, проводим внутренние конференции.

2. Компенсируем изучение иностранного языка.

3. Для сотрудников, совмещающих работу с обучением, предоставляем дополнительные оплачиваемые дни для экзаменов, защиты диплома и других обязательных учебных мероприятий.

Ивенты и мерч:

1. Регулярно проводим развлекательные и рабочие мероприятия в офлайн режиме: встречи команд, крупные корпоративные вечеринки и более лайтовые пати в офисах.

2. Организовываем развлекательные конкурсы, квизы, хакатоны, спортивные челленджи в онлайн формате.

3. Собственный магазин мерча с внутренней валютой, где можно купить уникальные подарки - например, новую приставку или ракетку для падела.

Забота о питомцах. Компенсируем часть расходов на ветеринарные услуги и другие траты на домашних животных.

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Head of Fund Analytics & Automation — Credit Fund

xsollaНа сервисе с: 18.10.26 19:03

Зарплата не указанаСШАУдалёнка

ABOUT YOU

We are looking for a Head of Fund Analytics & Automation who is a hands-on builder, rigorous with data, and fluent in finance conversations to join our Credit Fund team in the office of the Chief Credit Officer. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design, build, and operate the fund's entire data and automation stack end to end — and then own it as the fund goes live.

The credit fund is being built with a deliberately small team. Instead of hiring several analysts and operations staff, we want one senior technical hire who can do both: engineer the platform and sit across the table from investors and borrowers. Underwriting here is built on real payment telemetry — including Xsolla transaction data — and that data edge is the foundation of this role.

Strong SQL, Python, and production automation skills are essential, along with real experience in portfolio analytics, market risk, or credit. The ability to ship audit-grade systems and then defend the numbers in front of LPs and borrowers will be key to your success in this role. The role starts as a builder and becomes the owner-operator of the platform, with a growing seat in underwriting decisions and, as the platform and deal volume grow, scope to hire and lead a small team.

If you're passionate about applying AI-governed automation to private credit and love building the systems that let a lean team punch far above its weight, we would love to hear from you!

ABOUT US

Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.

For more information, visit xsolla.com.

Responsibilities

First 6 months — priorities in order

- Deal pipeline live: origination intake through credit committee, with the full audit trail. - Scoring data layer: borrower financials and payment telemetry ingested, stored, and under documented data contracts. - LP / fundraising pipeline instrumented, and first investor reporting shipped.
Explicitly out of scope: legal documentation, fund administration, and accounting — these sit with external providers.

Phase 1: Build (through first close)

Deal pipeline management
- Design and run the full deal workflow: origination intake, screening, scoring, credit committee, closing.

- Implement it as governed automation (workflow orchestration such as n8n or similar, with LLM-assisted steps where they add value): every automated output validated against a defined schema, low-confidence results routed to human review, and a complete audit trail suitable for LP due diligence.

Scoring and underwriting data layer
- Build the ingestion and storage layer for borrower financials and payments telemetry (including Xsolla transaction data) — PostgreSQL or equivalent, ETL pipelines, materialized views, documented data contracts.

- Develop credit scoring and forecasting models in Python, with proper train/test discipline, leakage and PII exclusion, and ongoing monitoring for drift and degradation.

- Maintain evaluation and regression checks so model and automation quality is measured continuously, not assumed.

Fundraising / LP pipeline
- Build and operate the investor pipeline: CRM automation, conference and referral pipeline tracking, follow-up orchestration, and data room preparation and upkeep.

- Instrument the pipeline so we always know conversion rates, stage aging, and next actions per LP.

Investor and borrower dashboards
- Ship reporting for both audiences: fund-level metrics for investors, facility-level metrics for borrowers.

- Numbers must reconcile to source systems and be reproducible outside the BI tool — audit-grade, not demo-grade. Tableau / Power BI or a lightweight web dashboard, whichever fits.

Reliability, cost, and security of the stack
- Budget caps and cost monitoring on all AI-assisted automation; regression canaries before changes ship.

- Access control and data protection appropriate for fund data: deny-by-default permissions, audit logs, strict handling of LP identities, borrower financials, and deal terms.

- Documented runbooks and handover-ready documentation as part of "done" — the stack must be operable by someone other than its author.

Phase 2: Operate (post-close)

- Move into an operating role on the underwriting side: portfolio monitoring, covenant and collateral tracking, scenario and stress analysis.

- Extend the platform to other investment types and support the capital formation team with the same pipeline and reporting infrastructure.

Client and investor facing
This is not a back-office role. The person will join investor and borrower meetings, present the dashboards and the numbers behind them, and field diligence questions directly. Fluency in finance conversations is as important as engineering. The person will also respond to LP operational due diligence questionnaires on the data and automation stack.

Qualifications and Skills

Required

- 7+ years across data analytics / data engineering, including recent hands-on experience building and running production automation (not prototypes or notebooks).

- Proven production experience with LLM-based automation: schema-validated outputs, human review gates, evaluation and regression testing, cost-tiered model routing.

- Strong SQL and Python; ownership of a PostgreSQL (or similar) data platform end to end — ETL, materialized views, performance tuning, data contracts.

- Workflow orchestration experience (n8n, Airflow, or comparable).

- BI and dashboarding: Tableau, Power BI, Qlik, or equivalent web dashboards; a track record of reporting that executives actually used for decisions.

- Security discipline for sensitive data: role-based access, deny-by-default policies, audit trails, PII handling.

- Finance background: degree in finance or quantitative field plus real experience in portfolio analytics, market risk, or credit — able to hold their own in an underwriting or investor conversation.

- Strong written and spoken English; comfortable presenting to senior external audiences.

Preferred

- Direct exposure to private credit, lending, or fund operations.

- Forecasting and statistical modeling track record (capacity planning, SLA/risk forecasting, or similar).

- Experience with embeddings / semantic search and multi-model AI setups.

- Web development ability (React / TypeScript or similar) for internal tools and dashboards.

- Experience in audited or regulated environments (SOC 2, fund audits, or equivalent).

Benefits

We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

Equal Employment Opportunity Statement

Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Criminal History Consideration

For the Head of Fund Analytics & Automation — Credit Fund position, we will conduct a background check that may include the following:

Criminal history check

Employment verification

Education verification

Credit history check

Relevance to Job Responsibilities

The background check is relevant to this position because of the following role responsibilities:

Handling sensitive financial information and supporting fund analytics, financial models, and deal data

Accessing confidential company data

Ensuring compliance with regulatory requirements

Rights Under the Fair Chance Act

Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

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Другие площадки

Продуктовый аналитик

мтс финтехНа сервисе с: 29.06.26 17:50↑ Вакансия с автоподнятием

181k–339k ₽РоссияМоскваОфис

МТС Банк – одно из ключевых направлений экосистемы МТС.
Мы используем современные цифровые решения и развиваем технологичные банковские сервисы, доступные каждому.

Что для нас важно:

знание SQL, Power BI, Oracle, Python
опыт работы в данном направлении от 2-х и более лет
знание продуктовых методов, опыт расчета бизнес-кейсов
умение видеть за числами действия реальных пользователей и объяснить, почему изменилось их поведение
проактивный подход в решении задач, а именно: способность самостоятельно разобраться в любой ситуации, задать себе правильные вопросы, собрать необходимую информацию и сделать выводы, которые приведут к принятию наилучшего решения

Ты будешь:

анализировать источники данных
строить воронки продаж
собирать требования для построения консолидированных витрин с аналитическими данными
проводить А/Б тесты
строить регулярную отчетность и дашборды для цифровой платформы банка
рассчитывать бизнес-кейсы
проверять гипотезы

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Senior Product Analyst - Xsolla Ads & Rewards

xsollaНа сервисе с: 18.10.26 18:26

Зарплата не указанаСШАУдалёнка

ABOUT YOU

We are looking for a Senior Product Analyst who is analytically rigorous, strategically minded, and a collaborative problem-solver to join our Advertising & Rewards division. The Senior Product Analyst will collaborate with Operations, Product, Engineering, and Business Stakeholders by using data-driven insights to inform the design and optimization of Xsolla’s B2C apps/websites. Additionally, they’ll lead the design and execution of multivariate AB tests, analytics schema and dashboards/reports, generating recommendations that influence our roadmap and drive product and business performance. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to drive data-informed product decisions that shape how we reward and engage players at scale.

Strong analytical and statistical skills are essential, along with experience in quantitative analysis within games or other consumer-facing apps. The ability to translate complex datasets into clear, actionable recommendations for cross-functional stakeholders will be key to your success in this role. If you're passionate about uncovering insights that drive meaningful product outcomes and love building data infrastructure and experimentation frameworks that help game developers grow their businesses and delight their players, we would love to hear from you!

ABOUT US

For more information, visit xsolla.com.

Responsibilities

Own product and data analysis for Xsolla's new B2C apps and websites, generating insights that optimize how we reward and engage users.

Conduct descriptive, diagnostic, and prescriptive analysis — including product funnel mapping, user cohort analysis, and behavioral data modeling — to improve user experience and drive growth and engagement.

Define KPIs for the product and build automated dashboards, reports, and models that enable smarter, faster decision-making across the business.

Design, orchestrate, and analyze multivariate product experiments to drive growth, improve existing features, and test new areas of opportunity.

Apply advanced analytics techniques — including machine learning — to uncover player insights, forecast economic trends, and support monetization strategies, while ensuring outputs remain interpretable and actionable for stakeholders.

Collaborate with data, product, engineering, and business stakeholders to build business cases and forecasts for new feature development.

Qualifications & Skills

BA/BS in Mathematics, Statistics, Economics, or another quantitative field.5+ years of experience in quantitative analysis, preferably within games or other consumer-facing apps.

Fluency in SQL with demonstrated ability to work with highly dimensional and complex datasets.

Strong proficiency with Statsig or comparable A/B testing platforms.

Strong proficiency with Looker, Tableau, or other BI/data visualization tools.

Strong proficiency with Mixpanel, Amplitude, or other product analytics platforms.

Comfortable operating in a fast-paced, high-growth, startup-like environment.

Nice to Have

Experience with machine learning or predictive modeling in a product context.

Background in advertising, offerwall, or performance marketing analytics.

Familiarity with user acquisition and monetization metrics in mobile or free-to-play games.

Benefits:

Equal Employment Opportunity Statement:

We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Criminal History Consideration:

For the Sr. Product Analyst, we will conduct a background check that may include the following:

Criminal history check

Employment verification

Education verification

Relevance to Job Responsibilities:

The background check is relevant to this position because of the following role responsibilities:

Accessing confidential company data

Ensuring compliance with regulatory requirements

Handling sensitive financial information/managing budgets/accessing funds

Rights Under the Fair Chance Act:

Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

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