Ciao Games is looking for a data-savvy analyst/engineer hybrid to take ownership of the full data lifecycle across our published casual and hybrid-casual mobile titles. You will build the data infrastructure from the ground up, create insightful dashboards and reports, support game teams with actionable insights and help us scale our data-driven publishing operations.
Design, implement, and maintain the data pipelines for mobile games (event ingestion, transformation, storage).
Set up integrations and dashboard with tools like GameAnalytics, Firebase, Singular, Looker Studio, BigQuery, etc.
Monitor data accuracy, schema consistency, and resolve data quality issues.
Build and own the data platform maintenance, alerting, versioning, and documentation.
Build and maintain real-time dashboards for KPIs (retention, LTV, ARPDAU, churn, conversion, etc.).
Perform deep-dive analyses to identify bottlenecks in progression, monetization, engagement, and player behavior.
Generate weekly and monthly performance reports with actionable PM/Studio/UA insights.
Run ad-hoc investigations based on stakeholder requests (e.g., post-release performance drop, A/B test results).
Collaborate closely with PMs, UA team and studios to define tracking specs and event structures for new games.
Evaluate early prototypes and soft-launched titles from a data perspective to flag red signals or potential.
Partner with UA to track campaign effectiveness and match in-game behavior with offerwall marketing cohorts.
2-4 years experience as a Data Analyst, Data Engineer, or similar in the mobile gaming industry.
Strong skills in SQL, BigQuery, or other cloud data warehouses.
Experience with analytics tools like Looker, Power BI, Tableau, or custom dashboards (e.g., Mixpanel, Amplitude).
Deep understanding of mobile game KPIs (retention, ARPU, ARPDAU, LTV, funnel analysis, etc.).
Familiarity with event-based data tracking frameworks in mobile games.
Comfortable owning both engineering and analytics aspects of the data stack.
Hands-on experience with game data analytics tools, Firebase, or Singular similar tools.
Python for scripting or lightweight ETL.
Familiarity with A/B testing analysis and segmentation logic.
Experience working with hybrid-casual or casual games in publishing or development context.
We offer a permanent contract. Salary will depend on actual experience and knowledge.