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Tech Stack
Tools & technologiesAirflowBigQueryPython
About the role
Key responsibilities & impact- Uncover retention and growth drivers by leveraging exploratory analytical techniques
- Dive into our data to discover insights on player behavior across different cohorts, segments, and stages of the user lifecycle, and communicate collect feedback on your findings from peers, and business and product partners
- Work with business, product, and engineering teams to [plan → design → ship → evaluate] experiments/AB-Tests, and communicate their results/impact with the company.
- Work directly in BigQuery to extract truths and trends that inform and guide business and product decisions
- Collaborate with analysts/data-scientists in building scalable, and reproducible analyses, and communicate their insights with the company
- Develop tools and best practices to ensure high data quality and identify and prevent errors before they reach production datasets
Requirements
What you’ll need- 6+ years of experience in data analytics
- Experience in collaborating with others to [plan → design → ship → evaluate] large scale product experiments
- Experience in BQ, Python, Jupyter, Airflow
- Strong collaboration and communication skills working in a fully distributed team
- Prioritizes relationships with colleagues and partners, enjoys mentoring and guiding others
- Ability to explain complex topics in simple terms
- Experience in coaching and mentoring others in both craft and effective communication.
Benefits
Comp & perks- 100% remote (work from anywhere!)
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
Data AnalyticsExperiment DesignData Quality AssuranceStatistical AnalysisAB-Testing
Soft Skills
CollaborationCommunicationMentoringCoachingRelationship Building
