We're driven by curiosity, passion, optimism, and the belief that everybody can grow. As a Data Science Senior Associate within Card Data & Analytics, you will deliver analytical insights for cobrand credit card partnerships, shaping strategies for acquisition, engagement, spend activation, retention, and attrition. Your work influences partnership strategies, cardholder value, rewards optimization, and customer experience, with high visibility to senior stakeholders.
Job Responsibilities:
- Execute analytics to drive Card portfolio strategy and performance
- Develop innovative solutions for acquisition, activation, spend, retention, and attrition
- Consult on experimental design and strategy with partners and internal teams
- Present findings and actionable recommendations to senior management
- Maintain rigorous controls for data accuracy and compliance
- Apply advanced tools and models, including Gen AI and segmentation frameworks
- Collaborate with marketing, product, and Data & Analytics teams
- Optimize rewards and cardholder value propositions
- Influence customer experience enhancements
- Prepare partner reporting and performance insights
- Support cobrand partnership strategies
Required qualifications, skills and capabilities
- Bachelor’s in quantitative field and 3+ years analytics experience, or advanced degree and 2+ years
- Exceptional analytical, quantitative, problem-solving, and communication skills
- Intellectual curiosity for business problem-solving
- Leadership and collaboration abilities
- Proficiency in statistical software (Python, R, SAS) and data querying languages (SQL)
- Familiarity with GenAI and prompt engineering basics
- Experience with modern analytics tools (SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx)
- Ability to convey complex information to technical and non-technical audiences
Preferred qualifications, skills and capabilities
- 3+ years credit card experience preferred