Senior Tech Data Analyst

Wintrust Financial Corporation; Rosemont (IL); On-site; USD 98,000 - 132,000; Full time

Benefits offered by this job

Medical Insurance

Dental

Vision

Life Insurance

Disability Insurance

Parental Leave

401(k) with company match

FSA

Employee Stock Purchase Plan

Critical Illness Insurance

Accident Insurance

Transportation Benefits

Banking Benefits

Pet Insurance

Job summary

Wintrust Financial Corporation in Rosemont, IL seeks a Senior Technical Data Analyst to transform complex banking data into actionable insights. You will work within the Data Management team to leverage structured and unstructured data, driving governance, quality, and data products across AML/KYC, fraud, and regulatory reporting.

The role demands 7–10+ years of data analytics experience in banking, strong SQL skills, and the ability to translate business needs into data solutions while

Qualifications

• 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.

Responsibilities

• Analyze large, complex data sets alongside unstructured data to extract insights and identify risks or opportunities.
• Partner with data engineering and product teams to enable ingestion and analysis of unstructured data.
• Translate business needs into data use cases and ensure alignment with regulatory requirements.

Skills

SQL proficiency

Data analytics

Communication skills

Problem solving

Business translation

Education

Bachelor’s or Master’s in CS/Engineering/Statistics

Tools

Python

NLP libraries

Snowflake

Azure

AWS

Data catalogs

Job description

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?

We have a culture that encourages an entrepreneurial spirit We offer multiple opportunities for development and upward mobility

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.

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, 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.

Unstructured Data Enablement

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.

Business Translation and Problem Structuring

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.

Data Products Development and Support

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.

Data Governance, Lineage & Quality

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.

Qualifications

Required

• 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.

Preferred

• 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

Core Competencies

• Analytical Depth – Strong problem-solving capacity with ability to identify meaningful patterns and insights in complex data sets
• Data Stewardship mindset – Champions data quality, governance, and consistency across all data types
• Communication – Ability to influence stakeholders through clarity, credibility, and insight.

Benefits

• 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 Compensation

The estimated salary range for this role is $98,000 - $132,000, along with eligibility to earn an annual bonus. Actual salaries may vary based on several factors, such as a candidate’s qualifications, skills and experience.

From our first day in business, Wintrust has been proud to serve a variety of unique communities and people from all walks of life. To build a company that reflects the communities we serve, we believe that fostering a unique and inclusive workplace where everyone feels valued and empowered to succeed will support our ongoing success.

Wintrust Financial Corporation, including community banking and financial services subsidiaries, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

Wintrust provides community and commercial banking, specialty finance and wealth management services, delivering the sophisticated solutions of a large bank through a relationship-focused approach built from our community banking roots. Wintrust may collect personal information from you in connection with the application process. Wintrust complies with the California Consumer Privacy Act of 2018, and its policy may be found here Click here for Equal Opportunities.