Finance Data Analytics Engineer - Vice President

JPMorgan Chase - Columbus, OH

Full-time - Mid Level

Columbus, OH

Credit Intermediation and Related Activities

About the position

As a Finance Data Analytics Engineer at JPMorgan Chase within Asset Wealth Management (AWM), you will play a crucial role in building and enhancing a next-generation financial data analytics platform. This position involves automating data collection and analytics solutions, maintaining critical data pipelines, and developing dynamic data visualizations to support business processes. You will work closely with various business functions to ensure data solutions align with the firm's objectives, while also mentoring colleagues in data visualization tools.

Responsibilities

• Lead automation projects addressing existing AWM F&BM manual processes by leveraging SSIS, SQL, Python and/or Databricks workflows
• Build and maintain dynamic Tableau and ThoughtSpot dashboards to eliminate static pdf/excel based reporting
• Train and mentor AWM Finance & Business Management (F&BM) colleagues in data visualization tools like Tableau and ThoughtSpot
• Increase productivity and decrease workload of AWM F&BM staff through automation and process improvements
• Assess project requirements and aid in selecting the right technology tools to support solutions
• Understand various information sources and strategically source data
• Work with key stakeholders to prioritize projects and determine requirements for automating existing processes
• Conduct unit and integration testing and coordinate User Acceptance Testing
• Partner effectively across AWM F&BM and Corporate Technology

Requirements

• 5+ years of experience in finance, data & analytics, and/or project management within the Financial Services industry
• Demonstrated experience with Python, SQL Server, and Tableau
• Experience with data warehouse systems, SQL, user access, data mining, and reporting applications/tools
• Strong understanding of data, data modeling, and database methodologies and architecture disciplines
• Experience with Cloud technologies AWS/Databricks
• Experience working with large datasets (millions of records) for data exploration and analysis

Nice-to-haves

• Financial / Accounting background
• Working knowledge of APIs - RESTful APIs, Web Services
• Passion for scaling and automation, with AI experience

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching