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4 месяца 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
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Описание вакансии

Текст:
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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.

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