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Chase · 4 months ago

Commercial and Investment Bank - Data Modeler Senior Associate

4 Chase Metrotech Ctr, Brooklyn, NY, 11245, US

Full-time

Onsite

Mid, Senior Level

$104K/yr - $165K/yr

3+ years exp

Chase is a leading financial institution offering innovative financial solutions globally. They are seeking a Data Domain Modeler Sr Associate to design and implement end-to-end data models that enhance data accessibility for finance users and analytics teams.

BankingFinancial Services

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

Qualification

Data modelingSQLPythonETL/ELT processesCloud data platformsAnalytical skillsProblem solvingCommunication skills

Required

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