JPMorgan Finance Data Domain Architect - Senior Associate 

United States, Delaware, Wilmington 

571866894

As a Data Domain Architect Associate on the Chase Consumer and Business Banking Finance Data & Insights Team, you will assist in the development, management, and maintenance of the Consumer Analytic Reporting Infrastructure for the Chase Consumer and Business Banking lines of business as well as supporting the new Private Client model which is an evolving strategy for servicing our affluent clients. You will also get to develop modifications to the reporting infrastructure that fully meets business partner needs.

Job Responsibilities

• Work closely with the business stakeholders/analysts to understand reporting requirements and functional needs.
• Translate business requirements into prototype solutions for new/enhancement requests, with appropriate standards.
• Provide a high level of responsiveness to ad-hoc requests. Ability to understand broad business questions and determine the data that will help answer/give insights to the business question, perform “what-if” scenario data analytics, and regulatory inquiries.
• Work closely with end-users/IT during the User Acceptance Testing (UAT) phase of the project and perform testing to ensure new functionality meets end user requirements.
• Work with our technology group to migrate to production the developed solutions.
• Validate that production results comply with business requirements and expected results.
• Work with the relevant Business Intelligence teams to develop and implement standard reporting solutions in support of JPM Chase Private Client Office and JPM branded branches.
• Reconcile and perform data analysis between the Firm’s financial systems (e.g., general ledger) and CARI as well as CARI to other data warehouses leveraging Essbase, SQL and future AWS Cloud tools.

Required qualifications, capabilities and skills

• 5+ years experience within MIS, Business Intelligence, and/or Analytics roles
• Must be proficient in SQL query writing.
• Demonstrated knowledge of data warehousing concepts and exposure to one or more Business Intelligence toolsets and database platforms: AWS or DataBricks, Oracle/SQL Server/Teradata, Cognos/BO, or SAS/R.
• Must be proficient with analysis in Excel including but not limited to Pivot, Vlookup, trend analysis etc.
• Must be proficient in one or more data & business intelligence concepts including ETL, Data Modeling, Reporting Automation, and/or Dashboard development.
• Self-starter, team player, good communication skills, be proactive in asking for help when needed.
• Good attention to detail with ability to understand and communicate bigger picture

Preferred qualifications, capabilities and skills

• Big Data/Tableau experience
• Experience with Agile development framework
• AWS Cloud experience