Job Description

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.

As a member of the Corporate and Investment Banking Marketing Analytics and Insights team, you will play a pivotal role in developing innovative, AI-powered solutions that promote business growth and career advancement. You’ll collaborate with a dynamic and forward-thinking team focused on measuring and amplifying the impact of global marketing initiatives. In this foundational position, you will lead the technical execution of data engineering and analytics projects—building intelligent data tools, uncovering actionable insights, and spearheading revenue optimization through advanced data science and machine learning methodologies.

Job Responsibilities

• Partner with global stakeholders to support and coordinate marketing programs, automating processes and delivering tailored, data-driven information to empower marketers.
• Aggregate and harmonize data from multiple sources to create meaningful perspectives, measuring engagement and effectiveness of marketing deliverables.
• Ensure data integrity and accuracy of reporting by identifying golden sources and owning business rules for integrating disparate data sets.
• Design, develop, and maintain campaign performance and market sizing dashboards using modern visualization tools and custom solutions.
• Drive the next generation of reporting automation, leveraging AI and machine learning to enhance analytics capabilities and predictive insights.

Required Qualifications, Capabilities, and Skills

• Minimum 4 years of work experience, ideally with digital marketing data and analytics platforms (e.g., Marketo, Adobe Analytics, Google Console, Salesforce).
• 3 years of relevant work experience in machine learning, artificial intelligence, and quantitative analytics, including building predictive models and deploying AI solutions for business impact.

Preferred Qualifications, Capabilities, and Skills

• Experience manipulating large and complex databases, developing quantitative models, and solving business problems using data automation and ETL tools, preferably Python and SQL.
• Bachelor’s degree or relevant experience; graduate degree in a technical field (Information Systems, Database Management, Computer Science, Data Science) preferred.
• Demonstrated ability to analyze, interpret, and translate metric performance into actionable insights and recommendations.
• Strong oral, written, and interpersonal communication skills.
• Growth mindset and keen attention to detail.
• Proficiency in visual analytics, preferably utilizing advanced, AI-driven platforms such as Databricks Genie, ThoughtSpot, and other AI/BI tools, or industry-standard solutions such as Power BI/Tableau.

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.