Join our dynamic team to make a pivotal impact in building a next generation financial data analytics platform for Asset Wealth Management (AWM). 

As a Finance Data Analytics Engineer at JPMorgan Chase within AWM Finance, you are an integral part of an agile team that works to enhance, build, and automate data collection and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.  The position includes automation of existing manual processes, developing dynamic data visualizations that improve and support business processes, and migrating data / ETL to new cloud platform.

The successful candidate must possess strong analytical and problem-solving skills, have the demonstrated ability to mentor and train others, independently prioritize, and manage time, and be able to build relationships with key stakeholders.

Job 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 with the goal of eliminating static pdf/excel based reporting Train and mentor AWM Finance & Business Management (F&BM) colleagues to become self-sufficient in data visualization tools like Tableau and ThoughtSpot Increase the productivity and decrease the workload of AWM F&BM staff thru automation and process improvements Assess project requirements and aid in the selection of the right technology tools to support the solution - whether SQL Server, Databricks, Tableau, Python, or ThoughtSpot Understand the variety of sources for information and how to strategically source data Work with key stakeholders (including accounting teams, reporting and analysis teams and F&BM leadership) to prioritize projects, determine requirements for automating existing processes and designing the appropriate the solution Conduct unit and integration testing and coordinate User Acceptance Testing Partner effectively across AWM F&BM and Corporate Technology

Required qualifications, capabilities, and skills:

5+ years of experience in finance, data & analytics, and/or project management within the Financial Services industry Demonstrated Python, SQL Server and Tableau experience is required 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 (e.g., AWS, SQL, Databricks) Versatile in learning and picking up different software, tools, methodology, or coding languages.

Preferred qualifications, capabilities, and skills:

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