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Tech Stack
Tools & technologiesCloudETLGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Take ownership of end-to-end data projects, from problem definition to deployment and monitoring
- Analyze player behavior to understand game performance, progression, monetization, and engagement drivers
- Define KPIs in collaboration with business stakeholders and ensure their robust and consistent implementation in data models
- Design and optimize data models and datasets tailored to analytical and business needs
- Ensure data quality and consistency, validating assumptions and identifying data issues
- Leverage and adapt AI tools and approaches to enhance data workflows and impact
- Demonstrate autonomy and decision-making, driving projects forward in ambiguous environments
- Contribute to the data roadmap, identifying high-impact opportunities for data science and analytics
Requirements
What you’ll need- Master’s degree in Engineering, Computer Science, Statistics, or equivalent
- 3+ years of experience in advanced analytics roles
- Strong proficiency in Python and SQL
- Solid experience with data modeling and large-scale datasets
- Strong understanding of statistics, A/B testing, and experimental design
- Knowledge of cloud platforms (preferably GCP) and modern data environments
- Good understanding of data pipelines and ETL processes
- Experience with orchestration tools and dbt
Benefits
Comp & perks- Remote status: Hybrid
- Flexible working hours
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLdata modelinglarge-scale datasetsstatisticsA/B testingexperimental designdata pipelinesETL processesorchestration tools
Soft Skills
autonomydecision-makingproblem definitioncollaborationdata quality assuranceanalytical thinkingproject ownershipcommunication
Certifications
Master’s degree in EngineeringMaster’s degree in Computer ScienceMaster’s degree in Statistics
