Senior Tech Data Analyst – Data Insights & Governance

Wintrust Financial Corporation; Northern (KY); Hybrid; USD 98,000 - 132,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Parental Leave

401(k) Plan

Flexible Spending Account

Employee Stock Purchase Plan

Pet Insurance

Job summary

Wintrust Financial Corporation in Rosemont, IL seeks a Senior Tech Data Analyst to transform complex data from core banking systems and documents into actionable insights. You will bridge business, analytics, and technology to support governance and growth initiatives.

You will partner with data engineering and product teams to enable ingestion of unstructured data, develop governed data assets, and ensure data lineage and quality across enterprise use cases such as AML/KYC, fraud, and

Qualifications

• 7-10+ years of experience in data analysis, data management, or analytics within banking and financial services.
• Bachelor’s or Master’s degree in a quantitative field (CS/engineering/math/stats).
• Strong SQL proficiency and experience with large-scale structured data sets.
• Experience working with unstructured data and data governance frameworks.

Responsibilities

• Analyze large structured data sets and unstructured data to extract insights.
• Translate business problems into data use cases and structured approaches.
• Contribute to building governed, reusable data assets aligned to business outcomes.
• Support data governance, data lineage, and quality initiatives across domains.

Skills

SQL

Data analysis

Unstructured data

Data governance

Regulatory compliance

Education

Bachelor’s or Master’s in Computer Science, Engineering, Statistics, or related field

Tools

NLP tools

Cloud platforms

Job description

Wintrust Financial Corporation in Rosemont, IL seeks a Senior Tech Data Analyst to transform complex data from core banking systems and documents into actionable insights. You will bridge business, analytics, and technology to support governance and growth initiatives.

You will partner with data engineering and product teams to enable ingestion of unstructured data, develop governed data assets, and ensure data lineage and quality across enterprise use cases such as AML/KYC, fraud, and