Senior Data Analyst uncovering retention/growth drivers through exploratory analysis of player behavior and large-scale A/B tests. Requires 6+ years analytics experience, BigQuery/Python proficiency, strong communication, and mentoring skills in a fully remote environment.
Salary not listed
Remote6+ YOEData Analytics
About the role
What you'll do
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
Communicate findings, collect feedback from peers, business, and product partners
Work with business, product, and engineering teams to plan, design, ship, and evaluate experiments/A/B tests, and communicate their results and impact
Work directly in BigQuery to extract truths and trends that inform and guide business and product decisions
Collaborate with analysts and data scientists in building scalable and reproducible analyses
Develop tools and best practices to ensure high data quality and identify/prevent errors before they reach production datasets
Requirements
6+ years of experience in data analytics
Experience collaborating with others to plan, design, ship, and evaluate large-scale product experiments
Experience with BigQuery, Python, Jupyter, Airflow
Strong collaboration and communication skills 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
Nice-to-haves
AI-forward thinker who leverages modern AI tools to accelerate workflow and automate mundane tasks
High agency, bias for action, comfort with ambiguity and new projects
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