Base: $130,000 - $150,000; bonus: eligible for ann...
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7-10 years data analysis experience in banking
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 join its Data Management team, focusing on transforming complex structured and unstructured data into actionable insights. The ideal candidate will have extensive experience in data analysis within the banking sector and will contribute to various enterprise data initiatives.
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Job Summary
The Senior Technical Data Analyst plays a pivotal role in transforming complex structured and unstructured data into actionable intelligence for the bank.
This position bridges business, analytics, and technology to support critical use cases across AML/KYC, fraud, customer experience, and regulatory reporting.
Wintrust offers an award-winning culture with competitive pay, a generous 401k match, and opportunities for professional growth within a top workplace environment.
Matching Summary
Match Score: 75
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Wintrust is seeking a Senior Tech Data Analyst to join its Data Management team, focusing on transforming complex structured and unstructured data into actionable insights. The ideal candidate will have extensive experience in data analysis within the banking sector and will contribute to various enterprise data initiatives.
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Salary
Base: $130,000 - $150,000; Bonus: Eligible for annual discretionary or incentive bonus; Benefits: Medical, dental, vision, life, 401k with match, 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 database and data warehouse concepts
Nice-to-have
Familiarity with NLP tools or 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
Entrepreneurial spirit and upward mobility culture
Key Requirements
Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or Mathematics
7-10+ years of experience in data analysis within banking/financial services
Proven ability to work with both structured and unstructured data