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Category Customer Success
Location Remote - Arizona - United States; Remote - Kentucky - United States; Remote - Virginia - United States
Job ID 18880
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Join Intuit’s Expert Network as a Data Services Specialist within the GBSG Supportability team, where your expertise drives clarity from complexity and elevates experiences for thousands of customers.
In this role, you’ll dive deep into the stories our data tells—interpreting quantitative and qualitative signals, identifying root causes, and shaping innovative solutions that improve our end-to-end customer journey. You’ll partner closely with cross-functional teams to resolve complex data abnormalities, design actionable insights, and champion improvements that scale across products, tools, and processes.
This is a role for a tenured problem-solver who thrives in ambiguity, is passionate about understanding how data flows across systems, and brings resourcefulness, curiosity, and resilience to every challenge. If you’re energized by intellectual puzzles, enjoy influencing change, and are ready to create meaningful impact across the ecosystem, you’ll feel right at home on our team.
Responsibilities
Qualifications
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. The expected base pay range for this position is:
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