Responsibilities

• Design, build, and maintain predictive models for direct mail campaign response rates, conversion, and customer lifetime value
• Perform response analysis, ROI modeling, and attribution to measure campaign effectiveness and contribution to marketing mix
• Develop customer segmentation models to identify optimal audience segments for targeted mail campaigns
• Conduct A/B testing and multivariate analysis to optimize creative, messaging, offers, and targeting strategies
• Develop, implement, and maintain statistical and machine learning models using Python and SQL (Google BigQuery preferred)
• Build simulation and forecasting applications to model campaign performance scenarios and optimize mailing lists
• Create Tableau dashboards and automated reporting to track campaign metrics and KPIs
• Write efficient SQL queries and build data transformation pipelines to prepare customer and campaign data for analysis
• Ensure data quality, harmonization, and compliance across analytical projects per financial services regulations (GLBA, FDIC, TCPA, CAN-SPAM, GDPR)
• Design and maintain data models that support real-time and historical campaign analysis

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or related field
• 4+ years of experience in analytics, data science, or marketing analytics in financial services or related industry
• Direct experience with direct mail marketing analytics, campaign optimization, or customer acquisition modeling
• Proficiency in SQL (Google BigQuery strongly preferred) and Python
• Advanced knowledge of statistical techniques: regression analysis, segmentation, propensity modeling, and experimental design
• Experience with Tableau or similar data visualization tools
• Strong analytical problem-solving skills and working knowledge of financial services compliance requirements

Preferred

• Experience with financial services products (banking, insurance, credit)
• Familiarity with marketing mix modeling (MMM) or multi-touch attribution
• Background in A/B testing and experimental design
• Knowledge of regulatory requirements (GLBA, TCPA, CAN-SPAM, GDPR)

Benefits

• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.