Cobrand Card Analytics Senior Associate

Aumni; Wilmington (DE); On-site; USD 110,000 - 160,000; Full time

Job summary

Chase is seeking a Quantitative Analytics Senior Associate to deliver high-impact insights and shape cobrand credit card strategies across acquisition, engagement, and rewards optimization. You will work with Card Data & Analytics to influence partnerships and customer experience, with exposure to senior leadership.

You will develop analytical frameworks, design experiments, and translate data into actionable recommendations while ensuring data integrity and governance.

Qualifications

• Formal training or certification on analytics concepts and 3+ years applied experience.
• Bachelor's degree in a quantitative field or an advanced degree with relevant analytical experience.
• Proficiency in Python, R, or SAS, and SQL.
• Experience with Hive, Hadoop, Spark, Tableau, or Alteryx.
• Exceptional analytical and quantitative problem-solving skills with the ability to translate complex data into clear, actionable insights.
• Strong communication skills with the ability to convey complex information to both technical and non-technical audiences.
• Demonstrated intellectual curiosity and a proactive approach to solving ambiguous business problems.
• Familiarity with generative AI concepts and prompt engineering fundamentals.

Responsibilities

• Execute quantitative analytics to drive credit card portfolio strategy and performance across key metrics including acquisition, activation, spend, retention, and attrition.
• Develop innovative analytical solutions and frameworks to address complex business challenges across cobrand partnership programs.
• Consult on experimental design and testing strategies in collaboration with partners and internal teams to validate and scale initiatives.
• Present findings and actionable recommendations clearly and compellingly to senior management and cross-functional stakeholders.
• Maintain rigorous data controls to ensure accuracy, integrity, and compliance across all analytical outputs.
• Apply advanced analytical tools and models — including generative AI and segmentation frameworks — to uncover actionable insights.
• Collaborate closely with marketing, product, and Data & Analytics teams to align analytical work with broader business priorities.
• Optimize rewards structures and cardholder value propositions to enhance customer loyalty and engagement.
• Prepare and deliver partner reporting and performance insights to support cobrand relationship management.

Skills

Analytical thinking

Communication

Curiosity

Problem solving

Education

Bachelor's degree in quantitative field

Advanced degree beneficial

Tools

Python

R

SAS

SQL

Hive

Hadoop

Spark

Tableau

Alteryx

Job description

Chase is seeking a Quantitative Analytics Senior Associate to deliver high-impact insights and shape cobrand credit card strategies across acquisition, engagement, and rewards optimization. You will work with Card Data & Analytics to influence partnerships and customer experience, with exposure to senior leadership.

You will develop analytical frameworks, design experiments, and translate data into actionable recommendations while ensuring data integrity and governance.