Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The job is to analyze products and create business recommendations and strategies for the company’s Direct to Consumer, Card, and Banking products through quantitative reasoning.
Requirements
- SQL, Python or R;
- Data visualization tools such as Looker, Tableau or PowerBI;
Responsibilities
- Analyzing data to identify gaps/opportunities within product and user experience areas and providing data driven recommendations for improvement;
- Working with large and complex data sets to solve a wide array of problems using various advanced analytical and statistical techniques;
- Developing business and product strategies to drive growth, profitability and high quality customer experience with an emphasis on quantitative reasoning;
- Writing cases and providing insight into opportunities based on analysis through internal and external research, and a close monitoring of the unit’s performance;
- Continuously embedding insights into the business unit strategy and identifying new opportunities for step function growth;
- Building and defining critical data sets, reporting, and providing documentation to enable Analysts and cross-functional partners to answer questions and monitor the business;
- Designing and analyzing A/B tests to understand the performance of new features and products;
Other
- Bachelor’s degree in Statistics, Mathematics, Finance, Economics, Business Administration, Engineering, or a related field and 5 years of experience in the job offered or similar position.
- Must have experience with: Collaborating cross-functionally with both technical and non-technical audiences; and Knowledge of lending mechanics and credit strategies.
- May telecommute from home office anywhere in U.S.
- Employees new to Affirm typically come in at the start of the pay range.
- Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
