Are you passionate about transforming data into actionable insights? Join our Transformation & Innovation team, where you’ll help shape the future of financial analysis at JPMorganChase. You’ll have the opportunity to grow your career, collaborate with talented colleagues, and make a real impact by building data products that empower our Planning & Analysis community. We value your curiosity, creativity, and drive to deliver solutions that make data accessible and meaningful.
As a Planning and Analysis Data Modeler – Senior Associate within the Corporate Financial Analysis team, you will design and implement end‑to‑end data models that enhance accessibility and understanding for a diverse range of users. You will work closely with finance, analytics, and technology teams to build and refine data models, making information easier to use and standardizing data across the organization. Your role is central to improving data pipelines and supporting innovation, helping us deliver high‑quality solutions that drive business performance.
Job responsibilities
- Design, develop, test, and refine data models and analytic prototypes
- Solve complex data challenges at the intersection of finance and technology
- Support the development of cloud‑based data lakehouse solutions for Planning & Analysis
- Guide and support data consumers in leveraging data products for analytics and planning
- Utilize AI‑assisted coding tools to accelerate development and optimize SQL
- Identify opportunities to embed AI into Planning & Analysis workflows
- Work with diverse data sets to support various Planning & Analysis processes
- Collaborate with senior team members on solution design
- Inspire innovation and champion change across teams within JPMorganChase
Required qualifications, capabilities, and skills
- Strong analytical and problem‑solving skills with attention to detail
- Hands‑on experience building and prototyping data models to address user needs
- Proficient in SQL and Python for data analysis, engineering, and transformation
- Relevant experience developing, testing, and refining data models using dimensional and relational approaches
- Curious mindset with a drive for continuous improvement
- Familiarity with prompt engineering principles and LLM‑based tools
- Effective communication skills to present data findings and support users
- Experience with ETL/ELT processes and architecture in data pipelines
- Experience building models for dashboard or cube consumption
- Familiarity with cloud‑based data lake platforms such as AWS, Azure, or Google Cloud
- Bachelor’s degree in computer science, data science, information systems, business analytics, or related discipline
Preferred qualifications, capabilities, and skills
- Experience with Databricks and notebook‑based development
- Experience working with financial and workforce datasets
