Senior Data Analyst - Unstructured Data & Insights

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

Benefits offered by this job

Medical Insurance

Dental

Vision

401(k) with company match

Tuition reimbursement

Job summary

Wintrust Financial Corporation is seeking a Senior Technical Data Analyst to transform complex structured and unstructured data into actionable insights. You will operate within the Data Management team to support AML/KYC, risk, regulatory reporting, and operational efficiency, partnering with analytics, technology, and business teams.

The role emphasizes data governance, data products, and cross-domain reuse, with responsibilities spanning data ingestion, tagging, and metadata management.

Qualifications

• 7-10+ years of experience in data analysis, data management, or analytics within banking and financial services.
• Bachelor’s or Master’s in CS, Engineering, Statistics or related field.
• Strong SQL skills and experience with large-scale structured data.
• Knowledge of databases and data warehousing concepts.
• Experience with unstructured data.
• Ability to translate business problems into data solutions.

Responsibilities

• Analyze large, complex structured data sets and unstructured data sources.
• Enable ingestion, classification, and analysis of unstructured data with data engineering/product teams.
• Translate business needs into data use cases and ensure regulatory alignment.
• Develop data products, ensure data assets are documented and reusable.
• Support data governance, lineage, and quality initiatives.

Skills

SQL

Data analysis

Data management

Unstructured data

Business translation

Education

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

Tools

Python

Snowflake

Azure

AWS

Job description

Wintrust Financial Corporation is seeking a Senior Technical Data Analyst to transform complex structured and unstructured data into actionable insights. You will operate within the Data Management team to support AML/KYC, risk, regulatory reporting, and operational efficiency, partnering with analytics, technology, and business teams.

The role emphasizes data governance, data products, and cross-domain reuse, with responsibilities spanning data ingestion, tagging, and metadata management.