Data Segmentation Analyst (Auto Lending)
Piper Companies, Mc Lean, VA, United States
Piper Companies is seeking a
Data Segmentation Analyst (Auto Lending)
to join a leading credit union based in McLean, VA. The Data Segmentation Analyst will support auto loan acquisition, refinancing strategies, and portfolio performance through data-driven insights, segmentation, and campaign analytics. This position will be onsite 4 days per week in McLean, VA.
Responsibilities
Develop and refine data-driven customer segmentation strategies focused on auto loan acquisition, refinancing, and cross-sell opportunities
Identify high-value member segments based on credit profile, loan behavior, vehicle lifecycle, and refinancing eligibility
Analyze auto loan portfolio performance including balances, prepayment trends, delinquency, and churn metrics
Create and maintain dashboards tracking auto lending KPIs such as origination volume, conversion rates, campaign performance, and loan profitability
Partner with marketing, product, and lending teams to design and optimize targeted auto loan campaigns
Evaluate campaign effectiveness and provide actionable insights to improve member acquisition and retention
Design and implement automated workflows for data collection, reporting, and segmentation using Python and Snowflake
Ensure compliance with financial regulations and data governance standards across all analytics and reporting processes
Qualifications
3+ years of experience in consumer lending analytics, with a focus on auto loans, refinancing, or loan acquisition strategies
Strong understanding of auto lending products, loan lifecycle, and borrower behavior
Experience in marketing analytics and segmentation within banking or financial services
Hands‑on experience with SQL, Tableau, Python, or R, and working with large datasets
Experience performing statistical analysis including A/B testing, trend analysis, and forecasting
Strong knowledge of data warehousing and business intelligence tools
Excellent communication skills with the ability to translate data into business insights
Compensation
Salary Range: $100,000 – $140,000 depending on seniority
Comprehensive Benefits: PTO, Paid Holidays, Medical, Dental, Vision, 401K, Sick Leave as required by law
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Data Segmentation Analyst (Auto Lending)
to join a leading credit union based in McLean, VA. The Data Segmentation Analyst will support auto loan acquisition, refinancing strategies, and portfolio performance through data-driven insights, segmentation, and campaign analytics. This position will be onsite 4 days per week in McLean, VA.
Responsibilities
Develop and refine data-driven customer segmentation strategies focused on auto loan acquisition, refinancing, and cross-sell opportunities
Identify high-value member segments based on credit profile, loan behavior, vehicle lifecycle, and refinancing eligibility
Analyze auto loan portfolio performance including balances, prepayment trends, delinquency, and churn metrics
Create and maintain dashboards tracking auto lending KPIs such as origination volume, conversion rates, campaign performance, and loan profitability
Partner with marketing, product, and lending teams to design and optimize targeted auto loan campaigns
Evaluate campaign effectiveness and provide actionable insights to improve member acquisition and retention
Design and implement automated workflows for data collection, reporting, and segmentation using Python and Snowflake
Ensure compliance with financial regulations and data governance standards across all analytics and reporting processes
Qualifications
3+ years of experience in consumer lending analytics, with a focus on auto loans, refinancing, or loan acquisition strategies
Strong understanding of auto lending products, loan lifecycle, and borrower behavior
Experience in marketing analytics and segmentation within banking or financial services
Hands‑on experience with SQL, Tableau, Python, or R, and working with large datasets
Experience performing statistical analysis including A/B testing, trend analysis, and forecasting
Strong knowledge of data warehousing and business intelligence tools
Excellent communication skills with the ability to translate data into business insights
Compensation
Salary Range: $100,000 – $140,000 depending on seniority
Comprehensive Benefits: PTO, Paid Holidays, Medical, Dental, Vision, 401K, Sick Leave as required by law
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