Data Domain Modeler - Associate

As a Data Domain Modeler in Transformation & 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 different persona ranging from: finance users, data analysts, automation, quantitative research and machine learning teams. Being part of an influential and data-centric team focused on data accessibility you will work on designing new data models for domains such as headcount, contractors, financials, forecasting models, markets, and macro-economic scenarios. You will also be involved 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.

You will 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 models., * Work on some of the most complex and highly visible data problems in finance, at the intersection of finance and technology

• Build new cloud based data lakehouse for the P&A community, leveraged by Analysts to CFO for their day to day reporting

• Work on data sets and use case to support different Planning & Analysis processes

• Contribute to the team that addresses 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 to inspire innovation and champion change throughout the bank

• Strong analytical and problem solving skills with attention to details to formulate effective data models to address users consumption pain points

• Curious mind to dig deep into the business and data to understand the context: Inquisitive and analytical mindset, challenges the status quo, and strive for excellence.

• 3+ years of relevant experience designing and/or 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

• Experience using programming languages (SQL/Python) for data analysis, transformation to answer business questions.

• Exposure to building analytics dashboard or building models suited for dashboard consumption

• Exposure with ETL / ELT process and how data move across pipeline within database

• Experience with cloud-based data lake platforms such as AWS, Azure or Google Cloud.

• Bachelor’s degree in computer science, data science, business analytics, or related discipline

Preferred qualifications, capabilities, and skills

• Experience with Databricks