Associate - Marketing Data & Analytics

Job Responsibilities

• Develop and deliver data solutions and analytics that directly support revenue generation, including client propensity modeling, opportunity sizing, and next-best-action frameworks.
• Translate findings into clear strategic recommendations for stakeholders.
• Measure and evaluate the effectiveness of marketing campaigns across channels. Build frameworks for attribution, engagement scoring, and audience segmentation that enable precise, high-impact client targeting.
• Design, build, and maintain interactive dashboards and reporting solutions that give stakeholders self-service access to key marketing and revenue metrics — ensuring reporting is accurate, timely, and aligned with business priorities.
• Collaborate with marketing, technology, and business teams globally to understand their analytical needs, translate business questions into data problems, and communicate complex findings clearly to both technical and non-technical audiences.
• Drive results with an entrepreneurial mindset in a fast-paced, high-impact environment.

Required Qualifications, Capabilities, And Skills

• 1+ years of hands-on experience in data analytics or a related quantitative role.
• Advanced proficiency in SQL — highly comfortable writing complex queries, optimizing performance, and working across large relational databases.
• Strong proficiency in Python for data manipulation, analysis, and automation (e.g., pandas, NumPy, and related libraries).
• Conceptual understanding of Generative AI — while hands-on experience is not required, a solid grasp of concepts such as large language models, prompt engineering, and retrieval-augmented generation, and how these can enhance analytics and marketing workflows.
• Proven ability to create dashboards and visualizations using tools such as Tableau, Power BI, or equivalent platforms.
• Familiarity with machine learning concepts and experience building basic predictive models.
• Strong analytical thinking — able to take ambiguous business questions, structure them as data problems, and deliver clear, insight-driven answers.
• Excellent communication skills — able to present findings and recommendations to senior stakeholders with clarity and confidence.
• Bachelor's degree in a quantitative or technical field such as Computer Science, Data Science, Statistics, Information Systems, or equivalent practical experience.

About Us

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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About The Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.