Piper Companies
Piper Companies
is seeking a
Senior Manager of Campaign Analytics
to join one of nation's leading financial institutions. Based in
Mclean, VA . The
Senior Manager of Campaign Analytics
will manage data analytics supporting the development of credit card segmented offer strategies for existing accounts.
This position will be onsite 3 days a week in Mclean, VA!
Responsibilities
Execute data programming to analyze profitable prospect segments using credit card behavior, demographics, credit risk, and internal/external data.
Lead marketing campaign testing and offer design; partner with management to implement a test-and-learn strategy that drives card usage and retention across the cardholder lifecycle.
Collaborate with management to evaluate and optimize strategies for profitable card portfolio growth.
Enhance vendor and internal statistical models; build independent spend engagement models and scorecards for credit card analytics, covering retention, risk-adjusted pricing, and acquisition targeting.
Design, test, and monitor quantitative models; support independent validation per governance standards.
Build advanced queries and partner with vendors to identify underperforming segments; deliver analytics to optimize offers and campaign performance.
Evaluate credit card campaign performance across all customer touchpoints, including digital, mail, mobile, and branch channels.
Create financial and profitability models by risk segment and product; partner with management to build account-level P&L for portfolio growth.
Translate analytics into actionable insights and recommendations for key stakeholders.
Collaborate with Credit Risk, Finance, and business teams to ensure accurate, streamlined reporting.
Qualifications
5+ years of experience in credit card or consumer lending analytics, including marketing, statistical analysis, performance optimization, and product development within financial services.
3+ years of experience in project management.
Proficient in SQL, Tableau, and large-scale data handling; Snowflake experience preferred.
Skilled in statistical analysis (A/B testing, regression, time-series forecasting).
Experienced in segmentation, predictive and financial modeling, and advanced analytics tools.
Preferred experience in statistical model development, validation, and performance monitoring.
Proficiency with data warehousing and business intelligence tools preferred.
Bachelor’s Degree in Economics, Finance, Statistics, Engineering, Computer Science or a related quantitative field is required.
Compensation
Salary Range: $125,000 - $135,000
Comprehensive Benefits: Cigna Medical, Dental, Vision, 401K, PTO, Sick Leave if required by law, and Holidays
This job opens for applications on 12.15.25. Applications for this job will be accepted for at least 30 days from the posting date.
Keywords: SQL, Tableau, Snowflake, Data Warehousing, Business Intelligence, Credit Card Analytics, Consumer Lending, Marketing Analytics, Campaign Performance, A/B Testing, Linear Regression, Time Series Forecasting, Predictive Modeling, Financial Modeling, Segmentation, Statistical Analysis, Model Development & Validation, Risk-Adjusted Pricing, Portfolio Optimization, P&L Analysis, Data Governance, Large Dataset Management, Test-and-Learn Strategy, Offer Design, Cardholder Lifecycle, Retention, Acquisition Targeting, Performance Monitoring.
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is seeking a
Senior Manager of Campaign Analytics
to join one of nation's leading financial institutions. Based in
Mclean, VA . The
Senior Manager of Campaign Analytics
will manage data analytics supporting the development of credit card segmented offer strategies for existing accounts.
This position will be onsite 3 days a week in Mclean, VA!
Responsibilities
Execute data programming to analyze profitable prospect segments using credit card behavior, demographics, credit risk, and internal/external data.
Lead marketing campaign testing and offer design; partner with management to implement a test-and-learn strategy that drives card usage and retention across the cardholder lifecycle.
Collaborate with management to evaluate and optimize strategies for profitable card portfolio growth.
Enhance vendor and internal statistical models; build independent spend engagement models and scorecards for credit card analytics, covering retention, risk-adjusted pricing, and acquisition targeting.
Design, test, and monitor quantitative models; support independent validation per governance standards.
Build advanced queries and partner with vendors to identify underperforming segments; deliver analytics to optimize offers and campaign performance.
Evaluate credit card campaign performance across all customer touchpoints, including digital, mail, mobile, and branch channels.
Create financial and profitability models by risk segment and product; partner with management to build account-level P&L for portfolio growth.
Translate analytics into actionable insights and recommendations for key stakeholders.
Collaborate with Credit Risk, Finance, and business teams to ensure accurate, streamlined reporting.
Qualifications
5+ years of experience in credit card or consumer lending analytics, including marketing, statistical analysis, performance optimization, and product development within financial services.
3+ years of experience in project management.
Proficient in SQL, Tableau, and large-scale data handling; Snowflake experience preferred.
Skilled in statistical analysis (A/B testing, regression, time-series forecasting).
Experienced in segmentation, predictive and financial modeling, and advanced analytics tools.
Preferred experience in statistical model development, validation, and performance monitoring.
Proficiency with data warehousing and business intelligence tools preferred.
Bachelor’s Degree in Economics, Finance, Statistics, Engineering, Computer Science or a related quantitative field is required.
Compensation
Salary Range: $125,000 - $135,000
Comprehensive Benefits: Cigna Medical, Dental, Vision, 401K, PTO, Sick Leave if required by law, and Holidays
This job opens for applications on 12.15.25. Applications for this job will be accepted for at least 30 days from the posting date.
Keywords: SQL, Tableau, Snowflake, Data Warehousing, Business Intelligence, Credit Card Analytics, Consumer Lending, Marketing Analytics, Campaign Performance, A/B Testing, Linear Regression, Time Series Forecasting, Predictive Modeling, Financial Modeling, Segmentation, Statistical Analysis, Model Development & Validation, Risk-Adjusted Pricing, Portfolio Optimization, P&L Analysis, Data Governance, Large Dataset Management, Test-and-Learn Strategy, Offer Design, Cardholder Lifecycle, Retention, Acquisition Targeting, Performance Monitoring.
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