Cash App is looking to derive valuable insights from its unique datasets to improve customer experience for its loan and payment products.
Requirements
- Advanced proficiency with SQL and data visualization tools (e.g. Mode)
- Experience with scripting and data analysis programming languages, such as Python or R
Responsibilities
- Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders
- Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior
- Design and analyze A/B experiments to evaluate the impact of changes we make to the product
- Work with engineers to log new, useful data sources as we build new product features
- Build, forecast, and report on metrics that inform strategy and facilitate decision-making for key business initiatives
- Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
- Build and share data visualizations and self-serve dashboards for your partners
Other
- Direct experience in credit, lending, risk management, or financial services.
- Exceptional Communication: The ability to clearly articulate complex technical concepts to both technical and non-technical audiences.
- Leadership and Influence: Demonstrated ability to lead complex, cross-functional projects from conception to completion. You can influence without authority and are skilled at navigating a fast-paced, dynamic environment.
- A bachelor degree in statistics, data science, or similar STEM field with 10+ years of experience in a relevant role OR
- A graduate degree in statistics, data science, or similar STEM field with 8+ years of experience in a relevant role
