Senior Tech Data Analyst

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.

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 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

• 7-10 years of experience in data analysis data management or analytics within banking and financial services.
• Bachelors degree or Masters 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 $130000 - $150000 along with eligibility to earn an annual bonus. Actual salaries may vary based on several factors such as a candidates qualifications skills and experience.

#LI-Hybrid

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.