Senior Partnership Analyst II

Credit Karma•Charlotte, NC

About The Position

Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts – all for free. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City. Banking services provided by MVB Bank, Inc., Member FDIC Senior Partnership Analyst II (Credit Cards) Data and analytics play a pivotal role in Credit Karma’s mission and every part of our business – informing new product design, driving marketing efficiency, and powering the recommendations we personalize to each of our over 140 million members. We’re seeking a driven, results-oriented, problem solver to join the Partnerships Analytics team supporting the Credit Cards vertical. In this role, you will use your analytical and strategic experience to create data-driven business recommendations that drive key decisions or deepen relations with our partners (startup fintechs to the largest financial institutions in the world). This role has high visibility and will contribute meaningfully to Credit Karma’s growth in delivering value for our members and partners. Unlike some analytics functions, you are not a service provider. You’re a thought leader to the business, owning end-to-end analytic work streams, defining success and performance metrics, and delivering actionable insights and recommendations for cross functional groups and partners

Requirements

4-6 years of analytics experience and BS/MS in Math, Statistics, Economics, Engineering, Data Science, Marketing, or Finance
Strong SQL proficiency with the ability to independently extract, manipulate and analyze large datasets
Demonstrated experience translating complex analysis into clear, actionable business recommendations for non-technical stakeholders
Solid understanding of statistical concepts and experience applying them to business problems

Nice To Haves

Strategic or analytical experience within fintech, financial services, or consulting, with a strong preference for candidates possessing deep expertise in consumer lending and credit risk
Experience building dashboard and performance reporting in Tableau, Looker or similar BI tools
Exposure to R/Python
Ability to communicate qualitative and quantitative results clearly, succinctly and confidently in verbal and written communications
Strong problem-solver able to identify opportunities for growth or improvement to advance the goals of our both our partners and our business
Ability to thrive in a fast-paced, dynamic, and often ambiguous work environment
Ability to work cross functionally and assert influence internally/externally

Responsibilities

Leverage internal and external data to develop business recommendations that generate value for Credit Karma and its lending partners
Own performance analytics for a portfolio of Credit Card issuers, identifying opportunities to improve funnel performance, expand revenue, and enhance member outcomes
Analyze tradeline, partner, and member-level data to evaluate credit performance trends, surface emerging risks, and identify opportunities for portfolio growth
Collaborate with Business Development to build data-driven materials for quarterly and ad hoc business reviews, shaping executive-ready narratives around performance, risk, and forward-looking growth strategies
Design and maintain scalable reporting solutions in Tableau (or similar BI tools), delivering timely, decision-ready insights to both internal stakeholders and external partners
Build analytical frameworks to evaluate partner performance, marketplace dynamics, and portfolio health.
Utilize tradeline and partner data alongside data science models to build scalable solutions for managing credit risk