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Remote, generalist analytics role, metro location, mid-level experience, and recognizable brand increase applicant competition.
Core SQL/SAS/Python analytics skills are broadly transferable across industries.
Explicit degree and experience bands, distance-learning exclusion, and internal eligibility rules raise strictness.
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Extract, transform, validate, and visualize large data sets to support project delivery that drives company growth and profitability.
Create and track business metrics using data and analytics tools aligned with strategic objectives.
Ensure timely, accurate delivery of analysis with proper documentation conforming to audit procedures.
Bachelor's or Master's degree in Statistics, Economics, Mathematics, or related quantitative field; distance learning degrees not accepted.
0 to 2 years of hands-on analytics experience; or 2 to 4 years experience without a degree.
Proficiency in SQL, SAS, or Python for data manipulation and query execution.
Ability to work between 06:00 AM to 11:30 AM Eastern Time for team meetings (remote work with flexible hours otherwise).
Experience or academic knowledge in consumer finance or retail finance analytics concepts and metrics.
Comfortable working with multiple data tools and programming languages such as SAS, SQL, Python, and open-source analytics software.
Able to interpret analytical results and convert findings into actionable business recommendations.