Huuuge Games

Data Analyst for marketing in mobile games

In short

Senior Data Analyst role focused on marketing analytics for a mobile gaming company, owning analyses around spend efficiency, investment priorities, and player acquisition, and building dashboards for marketing stakeholders. The job requires close collaboration with UA, ASO, Creative, Data Science, and Product teams, and demands advanced SQL, BI tool proficiency, and familiarity with Python for analytics. It's a hybrid role based in Warsaw with 3 days per week in the office.

About
Huuuge Games makes top-grossing mobile games that bring people together through fun and social mobile gaming.
Responsibilities
•Build and own analyses that answer key marketing questions about spend efficiency, investment priorities, and player acquisition
•Design and maintain dashboards that provide marketing stakeholders with an always-on performance view and flag anomalies
•Identify data opportunities and problems, propose solutions, and drive initiatives end-to-end, from business questions to stakeholder presentations
•Collaborate with UA, ASO, Creative, Data Science, and Product teams
•Translate complex findings into clear, actionable recommendations for non-data audiences
•Contribute to automation that reduces recurring manual work and frees the team for higher-value analysis
Requirements
•Advanced SQL, including complex queries, aggregations, and window functions
•Working proficiency in at least one BI tool
•Familiarity with Python for analytics, including data manipulation, exploratory analysis, and basic modeling
•Proactive communication with stakeholders and the ability to raise priority changes
•Ability to identify the right business question, choose an appropriate methodology, and challenge assumptions based on data
•Confidence presenting findings to senior stakeholders and adapting communication to the audience
•Ability to explain complex analyses clearly to non-technical audiences
•Ability to thrive in fast-paced, ambiguous environments with shifting priorities and expected ownership
Nice to have
•Hands-on experience in mobile gaming, mobile apps, or e-commerce, especially UA or growth analytics
•Familiarity with incrementality testing, ROAS modelling, or LTV/payback curve analysis
•Knowledge of Databricks or similar data lakehouse environments
•Applied use of AI or ML tools in analytics
•Staying current with research and tools and applying what you learn
•Passion for mobile games, understanding player behavior, and modeling game economy
Conditions
•Hybrid work model with 3 days from the office

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