Senior Analyst – Financial Services Direct Mail Marketing Analytics

Overview

Senior Analyst role focused on financial services direct mail marketing analytics, building predictive models and campaign analytics to optimize response, conversion and customer lifetime value.

What you'll do

• 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 the 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.
• Stay current on industry trends in marketing analytics, machine learning, and AI.
• Mentor junior analysts and contribute to knowledge sharing initiatives.

What you'll need

• 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 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.

Nice to have

• Google BigQuery experience (strongly preferred for SQL work).
• 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).

Details

• Location: USA - Remote - Maryland.
• Full time, permanent.
• Annual salary range: $78,000 - $93,338, placement based on experience, knowledge, skills and other factors permitted by law.
• Benefits include 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.