Responsibilities

• Translate data assets, predictive models, and BI reports developed across PDM into practical, actionable marketing strategies and recommendations.
• Proactively bring analytical insights and opportunities to the Partnership Marketing team — identifying where data can improve targeting, reduce waste, or unlock growth.
• Represent marketing analytics needs back to PDM — ensuring that model development, data portfolio, and BI priorities reflect the requirements of the marketing function.
• Maintain a clear understanding of Partnership Marketing's goals, campaigns, and challenges to ensure analytical support is timely, relevant, and impactful.
• Lead analytical support for campaign planning across direct mail (DM), acquisition, and account management programs — defining target audiences, channel mix, offer structures, and success metrics.
• Leverage PDM data assets and models to size audiences, forecast response rates, and optimize business outcomes for planned campaigns.
• Collaborate with PDM, Marketing and Marketing Engineering team to develop campaign briefs grounded in data, ensuring targeting strategies are aligned with acquisition, engagement, and retention objectives.
• Drive targeting precision across DM, acquisition, and account management by leveraging propensity models, segmentation frameworks, and data assets developed within PDM and/or external vendors.
• Translate model outputs into practical targeting strategies — defining selection criteria, suppression logic, and audience prioritization for each campaign.
• Continuously optimize targeting strategies based on campaign performance data, test results, and evolving business objectives — with a clear focus on reducing CPA and improving business outcomes.

Requirements

• Bachelor's degree required; Master's degree preferred in Statistics, Mathematics, Economics, Data Science, Marketing Analytics, or a related quantitative field.
• Minimum of 7+ years of experience in marketing analytics, data science, or a related analytical role
• Proven experience in financial services, credit card, or consumer lending marketing analytics strongly preferred.
• Demonstrated track record of analyzing data and translating analytical outputs — models, reports, data — into marketing strategies that drive measurable improvements in CPA, response rates, and portfolio growth.
• Experience designing and executing DM targeting, acquisition, and account management programs.
• Background in test-and-learn design, statistical analysis, and communicating experimental results to business stakeholders.
• Advanced proficiency in SQL for data extraction, manipulation, and analysis.
• Strong skills in Python or R for statistical analysis and data manipulation.
• Experience with data visualization and BI tools (e.g., Power BI, Tableau, QuickSight).
• Familiarity with cloud data platforms (e.g., Snowflake, AWS) and marketing data ecosystems.

Preferred

• Master's degree preferred in Statistics, Mathematics, Economics, Data Science, Marketing Analytics, or a related quantitative field.
• Proven experience in financial services, credit card, or consumer lending marketing analytics strongly preferred.
• Model building experience a plus.

Benefits

• Medical, Dental, Vision Insurance
• 401k, With Matching Contributions
• Time Off Programs
• Health Savings Account (HSA)/Dependent Care
• Employee Banking
• Growth Opportunities
• Tuition Assistance
• Short-Term/Long-Term Disability Insurance