Upgrade, a fintech company, is looking to deliver insights and improve how data powers decision-making across the business, specifically in consumer lending products, to make a meaningful difference in people's lives.
Requirements
- Minimum 2 years of experience in data analytics, product data, or business intelligence roles
- Proficient in SQL & Python; capable of writing and optimizing complex queries on large datasets
- Hands-on experience with Tableau/PowerBI/Looker or similar tools for reporting, monitoring, and data storytelling
- Strong analytical skills with a focus on root cause analysis, data quality, and actionable insights
- Bachelors or Masters Degree preferably in Analytics, Information Management, Computer Systems or similar fields
- Strong business acumen, preferably in finance and lending - this is a plus, not a requirement
- Proven track record of cross-functional collaboration with Product, Engineering, Operations & Marketing
Responsibilities
- Act as a core member of the Data & BI Product team, working horizontally across Upgrade’s products like personal loans, credit cards, BNPL, and servicing platforms to drive high-impact data initiatives.
- Investigate, root-cause, and resolve internal and external data issues by analyzing complex systems, pipelines, and customer/investor flows — bridging gaps between product, engineering, and operations.
- Partner closely with stakeholders across Credit, Marketing, Compliance, Investor Ops, and Servicing to translate business needs into scalable data solutions, insights, and process enhancements.
- Perform analysis and monitoring of key performance metrics across the entire customer lifecycle from pre-approval and decisioning to post-issuance servicing and collections enabling informed product and operational decisions
- Help shape the evolution of Upgrade’s internal data products by identifying usability gaps, uncovering data quality challenges, and contributing to backlog definition through analytical validation
- Design and maintain key data documentation, metric definitions, and validation frameworks that promote consistent usage and governance across reporting and analytics consumers
- Collaborate with Engineering teams to improve data sanity, availability, and lineage across multiple systems and environments.
Other
- Minimum 2 years of experience in data analytics, product data, or business intelligence roles
- Bachelors or Masters Degree preferably in Analytics, Information Management, Computer Systems or similar fields
- Strong business acumen, preferably in finance and lending - this is a plus, not a requirement
- Proven track record of cross-functional collaboration with Product, Engineering, Operations & Marketing
- 100% paid coverage of medical, dental and vision insurance
