The board
- Where
- Philadelphia, Pennsylvania, United States
- Posted
- Jan 23
Perpay is a certified B Corp and Philadelphia’s most impactful growth-stage startup. We are driven by a mission to significantly improve the financial stability of everyday Americans. For the past decade, we have established strong product-market fit and a profitable, efficient operating model across a suite of products, positioning Perpay as the premier financial partner for consumers with subprime credit.
With over 500,000 customers who have utilized more than $1 billion in spending power, we are at a pivotal moment. We are scaling our operations, building new offerings, and deepening our impact. We are looking for teammates eager to join us on this journey.
Our venture partners include First Round Capital and L Catterton.
Products we’ve built to make an impact:
Our team thrives on in-person collaboration, operating from our unique center-city Philadelphia office.
What you'd do
- Analyze Complex Business Problems: Partner with stakeholders from across the business to define challenges, identify opportunities, and deliver data-driven insights.
- Deliver Executive-Ready Recommendations: Translate analysis into clear, compelling recommendations, presenting them directly to senior leadership and influencing decision-making at the highest level.
- Collaborate Cross-Functionally: Build strong relationships across teams to ensure data insights are actionable and impactful, fostering trust in our analytics team.
- Dive Deep into Data: Write and execute advanced SQL queries and leverage Python or R to extract and analyze data, uncover trends, and solve problems with precision.
- Support Business Growth: Develop analytics-backed strategies to grow our impact, improve operational efficiency, and unlock opportunities for our customers and organization.
- Build Scalable Solutions: Contribute to the development of self-service BI tools and dashboards that empower teams to make data-informed decisions.
- Thrive in Ambiguity: Drive projects forward with minimal direction, navigating uncertainty with creativity and determination to uncover solutions.
- Undergraduate or master’s degree in a quantitative/STEM field (graduated in 2024-2026), or equivalent relevant experience
- Experience framing and then solving problems through data analysis and quantitative thinking
- Experience with Python and SQL