JPMorgan Finance Data Analytics - Associate 

United States, Ohio, Columbus 

460714035

You must use your strong analytical and problem-solving skills, demonstrate ability to mentor and train others, independently prioritize, and manage time, and be able to build relationships with key stakeholders.

Job responsibilities:

• Automation projects addressing existing AWM Finance & Business Management (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:

• At least 4 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