Senior Analyst – Financial Services Direct Mail Marketing Analytics

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Design, construct, and sustain predictive models for direct mail campaign response rates, conversion, and customer lifetime value.

• Conduct response analysis, ROI modeling, and attribution to evaluate campaign effectiveness and its role in the marketing mix.

• Create customer segmentation models for focused mail campaigns.

• Execute A/B testing and multivariate analysis to enhance creative, messaging, offers, and targeting strategies.

• Develop, implement, and maintain statistical and machine learning models utilizing Python and SQL.

• Construct simulation and forecasting applications to represent campaign performance scenarios and optimize mailing lists.

• Generate Tableau dashboards and automated reports to monitor campaign metrics and KPIs.

• Compose efficient SQL queries and establish data transformation pipelines for customer and campaign data.

• Ensure data quality, harmonization, and compliance throughout analytical projects.

• Design and uphold data models that support both real-time and historical campaign analysis.

• Stay updated on marketing analytics, machine learning, and AI developments.

• Guide junior analysts and engage in knowledge-sharing initiatives.

• Collaborate closely with cross-functional and client teams.

⛳️ Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related discipline.

• Over 4 years of experience in analytics, data science, or marketing analytics within the financial services or a related sector.

• Direct experience in direct mail marketing analytics, campaign optimization, or customer acquisition modeling.

• Proficient in SQL; Google BigQuery is strongly preferred.

• Proficient in Python.

• Advanced understanding of regression analysis, segmentation, propensity modeling, and experimental design.

• Experience with Tableau or comparable data visualization tools.

• Strong analytical problem-solving capabilities.

• Working knowledge of compliance requirements in financial services.

• Preferred: Experience with financial services products such as banking, insurance, or credit.

• Preferred: Familiarity with marketing mix modeling or multi-touch attribution.

• Preferred: Background in A/B testing and experimental design.

• Preferred: Understanding of GLBA, TCPA, CAN-SPAM, and GDPR regulatory requirements.

🏝️ Benefits

• Medical, vision, and dental insurance.

• Life insurance.

• Short-term and long-term disability insurance.

• 401k plan.

• Flexible paid time off.

• A minimum of 15 paid holidays each year.

• Paid sick and safe leave.

• Paid parental leave.

• Employee leave benefits in accordance with relevant state and local laws and company plans and policies.