Finance Data Analytics Engineer - Vice President

JPMorgan Chase - Columbus, OH

Full-time - Senior

Columbus, OH

Credit Intermediation and Related Activities

About the position

The Finance Data Analytics Engineer - Vice President role at JPMorgan Chase is a pivotal position within the Asset Wealth Management (AWM) team, focusing on building and enhancing a next-generation financial data analytics platform. This role involves automating data collection and analytics solutions, maintaining critical data pipelines, and developing dynamic data visualizations to support business processes. The successful candidate will work closely with various stakeholders to improve productivity and efficiency through automation and process improvements.

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 in working with large datasets (millions of records) for data exploration and analysis.

Nice-to-haves

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

Benefits

• Comprehensive health insurance coverage
• 401(k) retirement savings plan with company matching
• Paid time off and holidays
• Professional development opportunities
• Flexible work arrangements