Senior Games Data Analyst
Tasks
- Analyze player behavior across lifecycle
- Build dashboards and recurring reports
- Communicate insights to technical and non-technical stakeholders
- Conduct cohort and retention analysis
- Define and monitor key product metrics
- Develop measurement frameworks for player segments
- Improve data quality and tracking with data engineers
- Investigate KPI changes and root causes
- Maintain analytical standards and methodologies
- Measure impact of game features and campaigns
- Perform player segmentation and funnel analysis
- Run A/B tests and experiments
- Select metrics and perform statistical testing
- Translate insights into actionable recommendations
Perks/Benefits
- Annual company retreats
- Autonomy and ownership
- Flexible core hours
- International cross functional collaboration
- Paid annual leave
- Professional equipment provided
- Quarterly performance bonuses
- Referral bonuses
- Remote-first work environment
Skills/Tech-stack
A/B | A/B Testing | Amazon Redshift | Apache Superset | B testing | Cohort Analysis | Dashboarding | Data Modeling | 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
Education
N/A
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