Назад
Company hidden
22 часа назад

Senior Data Analyst (Marketing)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Data Analyst (Marketing) (Data Analytics): Analyzing player acquisition and marketing spend to drive growth for top-grossing mobile games with an accent on UA, ASO, and ROAS modelling. Focus on translating complex data into actionable strategy, building performance dashboards, and optimizing budget allocation.

Location: Hybrid (must be based in Warsaw, Poland, and work from the office 3 days a week)

Company

hirify.global creates top-grossing social mobile games that connect millions of players worldwide.

What you will do

  • Build and own analyses to evaluate marketing spend efficiency and player acquisition drivers.
  • Design and maintain performance dashboards to monitor KPIs and proactively flag anomalies.
  • Identify growth opportunities and drive data-driven initiatives end-to-end, from business questions to stakeholder presentations.
  • Collaborate daily with UA, ASO, Creative, Data Science, and Product teams as the analytical backbone.
  • Translate complex analytical findings into clear, actionable recommendations for non-technical audiences.
  • Develop automation to reduce recurring manual work and increase analysis capacity.

Requirements

  • Advanced SQL proficiency (complex queries, aggregations, window functions).
  • Working proficiency in BI tools, preferably Tableau (Looker or Power BI also welcome).
  • Experience with Python for data manipulation and exploratory analysis.
  • Strong communication skills and confidence presenting findings to senior stakeholders.
  • Ability to thrive in fast-paced, ambiguous environments with high ownership.
  • Location: Must be based in or be able to work from the Warsaw office 3 days per week.

Nice to have

  • Hands-on experience in mobile gaming, apps, or e-commerce growth analytics.
  • Knowledge of incrementality testing, ROAS modelling, or LTV/payback curve analysis.
  • Experience with Databricks or similar data lakehouse environments.
  • Applied use of AI or ML tools in an analytics workflow.
  • Passion for mobile games and modeling game economy.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →