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payments r sql python airflowπ Description
- Generate payment reports and analyze payment data for insights.
- Provide regular updates to leadership, translating findings into business insights.
- Analyze payment performance, triage issues, and recommend solutions.
- Design, execute, and analyze experiments to evaluate payment strategies.
- Collaborate with cross-functional teams to improve payments data globally.
- Identify pain points and opportunities to improve end-to-end payments journey.
π― Requirements
- 8+ years in business analytics with a quantitative degree; Masters/PhD a plus.
- Experience with Payments teams and payments risk domains (trust/safety, identity, fraud, compliance).
- Expert SQL and Python or R for data analysis.
- Experience with causal inference methods, experimentation, and ML techniques.
- Schema design and high-dimensional data modeling; ETL (Airflow) knowledge.
- Strong communication and storytelling to translate analytics into actionable leadership insights.
π Benefits
- US remote eligible with occasional in-office/offsites as agreed.
- Commitment to inclusion and belonging with accommodations available upon request.
- Bonus, equity, benefits, and Employee Travel Credits may be available.
- Work with cross-functional teams across Payments, Product, and Operations.
- Access to cutting-edge analytics tools and AI/ML techniques.
- Flexible work environment focused on impact and data-driven decisions.
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