Location: Brooklyn, NY, United States

Join the Commercial and Investment Banking Planning and Analysis Transformation and Innovation team that will enable the production of reporting and analytics while modernizing our planning processes and data consumption patterns!

As a Data Domain Modeler Sr Associate, within the Transformation and Innovation team, you will design and implement end-to-end data models starting from raw data to the semantic layer that makes our data more accessible and understandable for finance users, data analysts, automation, quantitative research and machine learning teams. 

Job Responsibilities:

• Work on designing new data models for domains such as financials and forecasting models across different scenarios and work on some of the most complex and highly visible data problems in finance, at the intersection of finance and technology
• Represent the data domains in the overall information architecture strategy to optimize data models for end user consumption, identify data homogenization opportunities, and optimize data pipelines in our data lake-house.
• Engage and partner with product owners, business users (both technical and non-technical), data providers, and technology teams across the entire finance function to design and deliver data products.
• Design and build new cloud based data lakehouse for the P&A community, leveraged by Analysts to CFO for their day to day reporting
• Work on wide range of data sets and use case to support different Planning & Analysis processes, and personally lead and drive the design of them
• Create solutions for key data challenges and implements innovative technology-based solutions at the bank such as enterprise data catalog, and AI-enabled conversational analytics
• Partner with other high-performing teams within JPM Chase to inspire innovation and champion change throughout the bank 

Required qualifications, capabilities, and skills:

• Strong analytical and problem solving skills with attention to details to formulate effective data models to address users consumption pain points, and to lead their delivery
• Bachelor’s degree in computer science, data science, information systems, business analytics, or related discipline; 3-5+ years of relevant experience designing and implementing data models and analytic solutions using dimensional and relational data models
• Hands-on and flexible approach to creating solutions aligned to the tools and skills of the client user and strong communication skills to present data products and educate data consumers
• Strong knowledge and experience using SQL & Python for data analysis, data engineering, and transformation to answer business questions  
• Experience with ETL / ELT process and architecture to move data across pipelines in a lake
• Experience building analytics dashboard or building models suited for interactive dashboard consumption
• Experience with cloud-based data lake platforms such as AWS, Azure or Google Cloud

Design and implementation of end-to-end data models.