What are the responsibilities and job description for the Marketing Analytics Associate - Card Data & Analytics position at JPMorgan Chase?
Job Description
Join a high-impact analytics team where your insights directly shape how we reach customers in digital channels. You’ll translate complex behavioral data into clear recommendations, help optimize campaigns through testing and measurement, and partner closely with marketing, product, and data stakeholders to unlock the value of our data and drive growth.
As a Marketing Analytics Associate at JPMorganChase within the Card Data & Analytics team, you will focus on translating customer behavioral data into insights that drive marketing strategies to influence card acquisitions on digital channels. You will develop, plan, and execute analytical projects both independently and in collaboration with teammates, working closely with analysts, channel marketing partners, data owners, and product owners to deliver capabilities that enable data-driven decision-making.
Job responsibilities
- Devise and evaluate methods and procedures for collecting data
- Conduct research and recommend marketing strategies in the digital space for the card business
- Partner across card digital channels to provide insights that support strategies to influence and grow new card acquisitions
- Support business growth targets by delivering concise, insightful, and timely analytics on key trends from large datasets
- Synthesize large volumes of data into actionable insights to influence business and marketing strategies
- Perform reporting and measure A/B tests for digital campaigns to support decision-making
- Deliver practical insights in a compelling way to senior leadership through presentations, discussions, and visualizations
- Continuously develop skills to provide best-in-class analytics
Required qualifications, capabilities, and skills
- 1 years of applied experience in business analytics (e.g., digital analytics, customer analytics, marketing analytics, sales analytics, business insights)
- Bachelor’s degree in a relevant quantitative field (e.g., Statistics, Economics, Applied Math, Operations Research, Physics, Data Science)
- Strong knowledge of querying databases using SQL
- Experience with modern data science and analytics tools (Hive, Python, R)
- Basic knowledge of data mining, quantitative research, and data science techniques (e.g., machine learning)
- Strong verbal and written communication skills with the ability to work effectively in a team
Preferred qualifications, capabilities, and skills
- Master’s degree in a relevant quantitative field
- Experience with Adobe Analytics, Tableau, and Alteryx
- Demonstrated ability to define business KPIs and establish measurement frameworks
- Financial services background