Senior Games Data Analyst

Tasks

• Analyze player behavior across lifecycle
• Build dashboards and recurring reports
• Conduct player segmentation and funnel analysis
• Define and monitor key product and gaming metrics
• Design, execute and evaluate A/B tests
• Establish analytical requirements and measurement frameworks
• Improve data quality and tracking coverage
• Investigate KPI changes and identify root causes
• Measure impact of features promotions and marketing
• Perform cohort and retention analysis
• Translate insights into actionable recommendations

Perks/Benefits

• Annual retreats
• Flexible core hours
• Ownership and autonomy
• Paid annual leave
• Paid bonuses
• Professional equipment
• Remote-first

Skills/Tech-stack

A/B | A/B Testing | Amazon Redshift | Apache Superset | B testing | Cohort Analysis | Dashboards | Data Quality | Data Visualization | Databricks | Event Tracking | Experimental Design | Funnel Analysis | Google BigQuery | Hypothesis Testing | Looker | Player segmentation | Power BI | Python | R | Retention analysis | SQL | Snowflake | Statistical modeling | Tableau