DescriptionUnlock your potential as an Associate on the Finance Data Analytics team at JPMorgan Chase where youll drive innovation and automation in Asset Wealth Management Finance. Be the technical backbone that transforms data into dynamic visualizations seamless cloud migrations and transforming processes and user experience using AI to propel the firms business objectives to new heights
As an Associate on the Finance Data Analytics team at JPMorgan Chase within Asset Wealth Management (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 firms 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.
You must use your strong analytical and problemsolving 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 ThoughtSpot dashboards with the goal of eliminating static pdf/excel based reporting
- Train and mentor AWM Finance & Business Management (F&BM) colleagues to become selfsufficient in data visualization tools like 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 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
- DemonstratedPython SQL Server 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 automation and transforming processes and user experience through AI
- ThoughtSpot experience
Required Experience:
IC