Senior Marketing Analytics Associate

Data Scientist Associate - SAS, SQL, Python/R

 Join a collaborative, inclusive team where you will apply your analytics expertise at scale and grow your career while shaping data-informed marketing decisions. 

As a Marketing Analytics Senior Associate within the Consumer Card Marketing Analytics team, you apply deep quantitative and qualitative analysis to solve complex business problems and drive growth. You partner closely with cross-functional teams to translate data into strategies that improve campaign performance and customer outcomes. You focus on clear, user-centric insights that align with business priorities and deliver measurable impact. 

Job responsibilities

• Owns and advances marketing analytics for consumer card products to solve business problems and accelerate growth
• Evaluates campaign performance using experimental design and delivers P&L impact assessments
• Builds and automates data pipelines using SAS, SQL, and Python to transform large data sets into reliable datasets and insights
• Develops customer segmentation and propensity models to inform differentiated offers and channel strategies
• Translates complex analysis into clear recommendations and executive-ready narratives for partners
• Partners with product, marketing, finance, and risk teams to align analytics with business goals and track outcomes
• Establishes and promotes best practices for data quality, documentation, and reproducibility 

Required qualifications, capabilities and skills

• Bachelor’s or Master’s degree in Statistics, Applied Mathematics, Computer Science, Finance, or a related analytical field
• Four years of experience in marketing analytics, data science, or a similar discipline within consumer or financial services
• Expertise in SAS and SQL for data extraction, transformation, and analysis
• Proficiency in Python or R for data wrangling, statistical analysis, and automation
• Working knowledge of advanced statistical methods such as regression, clustering, and hypothesis testing
• Experience manipulating large, complex datasets and building analytical data models to evaluate business problems
• Strong written and verbal communication skills to convey insights and influence decisions 

Preferred qualifications, capabilities and skills

• Understanding of credit card P&L drivers and unit economics
• Experience applying machine learning techniques to marketing use cases
• Experience with A/B testing design and marketing mix modeling
• Familiarity with data visualization tools such as Tableau or similar

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Experience Level

Mid Level