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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Deliver insights that support merchant risk management, partner performance, merchant success, and emerging business needs
- Analyze large, complex datasets to identify trends, drivers, and emerging risks across merchants, partners, and the loan lifecycle
- Build and maintain recurring partner and merchant performance reporting (scorecards, KPIs, segmentation) to support business reviews and operating rhythms
- Source, integrate, and validate data from multiple systems (applications, underwriting, servicing, payments, disputes/chargebacks, CRM) to ensure accuracy and consistency
- Design dashboards, visualizations, and self-serve tools that clearly communicate performance, risk signals, and opportunity areas
- Translate analysis into concise, business-focused recommendations (e.g., policy or process changes, partner enablement, merchant outreach, monitoring rules)
- Partner with Risk, Product teams, Partner Management, Merchant Success, Sales, and Operations stakeholders to define questions, align metrics, and provide a holistic view of performance
- Monitor outcomes of implemented recommendations and iterate through ongoing measurement, root-cause analysis, and continuous improvement
- Ensure all data usage and reporting complies with risk, privacy, and data governance standards
Requirements
What you’ll need- Bachelor’s degree, or equivalent work experience
- Typically five or more years of related experience
- Experience applying advanced analytics, statistics, experimentation, or predictive modeling to business problems
- Strong capability working with large, complex datasets, including data extraction, validation, and metric definition and governance
- Proficiency with SQL, with experience using Python or R preferred
- Experience building dashboards and visualizations that drive business action, including partner scorecards, merchant health monitoring, and portfolio KPIs
- Ability to translate analytical findings into clear, actionable recommendations for both technical and non-technical audiences
- Experience partnering with cross-functional stakeholders to define questions, prioritize work, and influence decisions
- Ability to manage multiple analytical initiatives in a dynamic environment with strong attention to detail and follow-through
- Familiarity with risk concepts and operational metrics such as delinquency, loss rates, disputes or chargebacks, fraud indicators, and approvals or declines
- Familiarity with data governance, risk, and privacy standards, especially related to customer and merchant data
- Excellent written and verbal communication skills, including presenting insights and recommendations to business partners
Benefits
Comp & perks- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
advanced analyticsstatisticspredictive modelingdata extractiondata validationmetric definitionSQLPythonRdashboard design
Soft Skills
analytical thinkingcommunicationattention to detailcross-functional collaborationinfluenceproblem-solvingrecommendation translationproject managementadaptabilitycontinuous improvement
Certifications
Bachelor's degreedata analytics certificationrisk management certificationdata governance certification