Associate - Marketing Data & Analytics

Jersey City, NJ

Full-time

Onsite

$104K/yr - $165K/yr

Entry Level

JPMorganChase is one of the oldest financial institutions, and they are seeking a Marketing Data & Analytics Associate to join their Commercial & Investment Bank Marketing Analytics & Insights team. The role involves translating complex data into actionable insights that shape marketing strategy and improve client engagement through data-driven decisions.

Apply Now

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

Qualification

Required

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

Preferred

Data engineering experience — familiarity with building and maintaining ETL/data pipelines and transforming data from disparate sources into structured, analysis-ready formats
Experience working with marketing data platforms such as Marketo, Adobe Analytics, Salesforce, or Google Analytics
Experience with cloud-based data platforms such as Databricks, Snowflake, or AWS-based analytics services
Exposure to AI-driven BI tools such as ThoughtSpot, Databricks Genie, or similar next-generation analytics platforms
Graduate degree in a technical or quantitative discipline
Experience in financial services, banking, or B2B marketing analytics environments

Benefits

Commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.

Glassdoor