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Credit Karma seeks a data-analytics driven professional to transform internal and external data into strategic recommendations for partners and members. You will develop dashboards, learn agendas, and analytical frameworks to guide growth and performance evaluation with a focus on credit-market insights.
You will collaborate with Business Development to model scenarios, quantify opportunities, and present executive-ready materials in a fast-paced environment.
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.
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 our fast growing Insurance 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.
What you’ll do:
Minimum Basic Requirement:
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.