Strong proficiency in sql and large scale data sets
Experience working with unstructured data sources
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Wintrust is seeking a Senior Tech Data Analyst to transform complex data into actionable intelligence, bridging business needs with data solutions. The position requires extensive experience in data analysis, particularly within the banking and financial services sectors, and offers a competitive salary and benefits in a hybrid work environment.
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Job 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.
This position bridges business, analytics, and technology to deliver insights while supporting governance and growth initiatives across AML/KYC, fraud, and regulatory reporting.
Wintrust offers an award-winning culture with competitive pay, a generous 401k match, and opportunities for upward mobility within a top workplace environment.
Matching Summary
Match Score: 75
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Wintrust is seeking a Senior Tech Data Analyst to transform complex data into actionable intelligence, bridging business needs with data solutions. The position requires extensive experience in data analysis, particularly within the banking and financial services sectors, and offers a competitive salary and benefits in a hybrid work environment.
**
Salary
Base: $130,000 - $150,000; Bonus/Equity: Eligible for annual discretionary or incentive bonus; Benefits: Comprehensive package including medical, dental, vision, life, 401k match, and tuition reimbursement
Skills & Requirements
Must-have
7-10 years data analysis experience in banking
Strong proficiency in SQL and large scale data sets
Experience working with unstructured data sources
Ability to translate business problems into data solutions
Knowledge of data governance frameworks and lineage
Nice-to-have
Familiarity with NLP tools and Python libraries
Experience with cloud data platforms like Snowflake or Azure
Exposure to data catalogs and metadata management tools
Understanding of federated or domain-oriented data models
Key Requirements
Bachelor's or Master's degree in quantitative field
7-10+ years of experience in data analysis or management
Proven ability to work with complex structured and unstructured data