Wintrust provides community and commercial banking, specialty finance and wealth management services through its 16 bank charters and nine non-bank businesses. Wintrust delivers the sophisticated solutions of a large bank while staying true to the relationship-focused, personalized service of our community banking roots. We serve clients in all 50 states with more than 200 branch banking locations in Illinois, southwestern Florida, northwestern Indiana, west Michigan and southern Wisconsin and commercial banking offices in Chicago, Denver, Milwaukee, Grand Rapids, Mich., and in key branch banking locations throughout Illinois. Our people are the heart of our business and we are proud to rank consistently as a top place to work. Wintrust is a $66 billion financial institution based in Rosemont, Illinois, and listed on the NASDAQ Global Select Market under the symbol “WTFC.”
Why join us?
An award-winning culture! We are rated a Top Workplace by the Chicago Tribune (past 10 years) and Employee Recommended award by the Globe & Mail (past 6 years)
Competitive pay and discretionary or incentive bonus eligible
Comprehensive benefit package including medical, dental, vision, life, a 401k plan with a generous company match and tuition reimbursement to name a few
Family-friendly work hours
With 175+ community bank locations, we offer opportunities to grow and develop in your career
Promote from within culture
Why join this team?
Job Description Summary
The Senior Technical Data Analyst plays a pivotal role in enabling the bank to leverage both structured and unstructured data as trusted, enterprise information assets. Operating within the Data Management team, this role is responsible for transforming complex data – ranging from core banking systems to documents, communication, and external data sources – into actionable intelligence.
This role bridges business, analytics, and technology to deliver insights, and support governance and growth initiatives.
Job Description
Advanced Data Analysis
Analyze large, complex structured data sets (example – transactions, customer, risk, finance data) alongside unstructured data (example – documents, emails, transcripts, PDF etc).
Apply analytical techniques to extract insights,