Senior Tech Data Analyst

Wintrust • Rosemont, IL

2d

About The Position

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. Wintrust is a $66 billion financial institution based in Rosemont, Illinois. 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.

Requirements

• 7-10+ years of experience in data analysis, data management, or analytics within banking and financial services.
• Bachelor’s degree or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or other quantitative field.
• Strong proficiency in SQL and experience working with large scale structured data sets.
• Strong understanding of database and data warehouse concepts and structures.
• Experience working with unstructured data.
• Proven ability to translate business problems into data solutions.

Nice To Haves

• Familiarity with NLP tools or frameworks (example – Python, NLP libraries etc)
• Experience with cloud data platforms (example – Snowflake, Azure, AWS etc)
• Exposure to data catalogs, metadata management, or lineage tools
• Experience working in federated or domain-oriented data model

Responsibilities

• 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, detect patterns, and identify risks or opportunities.
• Support a wide variety of enterprise data use cases across AML/KYC, fraud, customer experience, regulatory reporting, and operational efficiency.
• Partner with data engineering and product teams to enable ingestion, classification, and analysis of unstructured data.
• Support text analytics, document parsing, metadata extraction to make unstructured data usable and governed.
• Adopt defined standards for tagging, cataloging, and governing unstructured data assets.
• Work closely with business, risk, compliance, and operations teams to translate business needs into data use cases.
• Break down ambiguous problems into structured approaches.
• Ensure alignment between business objectives, regulatory requirements and data solutions.
• Ensure transparency and defensibility of insights derived from structured and unstructured sources.
• Contribute to building reusable, governed, and high-quality datasets aligned to business outcomes.
• Ensure data assets are documented, discoverable, and fit for purpose.
• Enable cross-domain reuse of data to reduce duplication and improve consistency.
• Adopt enterprise data governance defined frameworks across both structured and unstructured data domains.
• Identify data quality issues and partner with the data stewards and upstream teams to resolve root causes.
• Support data lineage, traceability, and controls required for regulatory compliance (example – BCBS 239).
• Contribute to defining and managing critical data elements (CDE), including those derived from unstructured sources.
• Other tasks as needed

Benefits

• An award-winning culture!
• Rated a Top Workplace by the Chicago Tribune (past 10 years)
• 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
• Family-friendly work hours
• Opportunities to grow and develop in your career with 175+ community bank locations
• Promote from within culture
• Medical Insurance
• Dental
• Vision
• Life insurance
• Accidental death and dismemberment
• Short-term and long term Disability Insurance
• Parental Leave
• Employee Assistance Program (EAP)
• Traditional and Roth 401(k) with company match
• Flexible Spending Account (FSA)
• Employee Stock Purchase Plan at 5% discount
• Critical Illness Insurance
• Accident Insurance
• Transportation and Commuting Benefits
• Banking Benefits
• Pet Insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1,001-5,000 employees