Finance Data Domain Architect – Associate

2 weeks ago

Wilmington, Delaware, United States JPMorganChase Full time
Description

You are analytical, data-driven, and technical—with exceptional communication skills to collaborate seamlessly across Finance, Technology, and Operations. Join our dynamic CCB Finance Data & Insights Team at Chase, where you'll transform our reporting infrastructure into high-impact data solutions that empower strategic decision-making.

As a Data Domain Architect Associate on the CCB Finance Data & Insights Team, you will assist in the development, testing and on-going maintenance of finance data products for the Credit Card line of business. You will play a key role in delivering daily and monthly internal, external, and regulatory financial results, and will identify opportunities to eliminate manual processes and utilize automation tools.  You will extract, analyze, and summarize data for ad hoc stakeholder requests, and partner with our Information Technology team to transform our data environment to a modernized cloud platform.

Job Responsibilities

  • Execute critical monthly financial reporting processes, using Excel, SQL, and Essbase
  • Eliminate manual processes with automation tools
  • Develop expertise in our financial reporting platforms, Credit Card profit & loss drivers, data analysis, and emerging technologies such as Databricks and ThoughtSpot
  • Extract, analyze, and summarize data for ad hoc management requests
  • Communicate with stakeholders to gather enhancement requirements and partner with IT for implementation
  • Participate in data environment transformation projects

Required qualifications, capabilities and skill: 

  • Bachelor's degree in MIS, Computer Science, Finance, Accounting, or other with relevant work experience
  • Minimum 3 years experience in data analytics, architecture, or financial reporting systems
  • Proficient user of Excel
  • Experience with relational databases and optimizing SQL to pull and summarize large datasets, create reports, and perform ad-hoc analyses
  • Highly motivated, self-directed, curious to learn new technologies
  • Excellent written and verbal communication skills

Preferred qualifications, capabilities and skills: 

  • Experience with Essbase, Alteryx, Databricks, or ThoughtSpot
  • Understanding of Credit Card P&L

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