Technical Business Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Technical Business Analyst in Chicago, IL (3 days onsite), on a contract basis. Key skills include healthcare and education domain knowledge, data architecture, data product management, and enterprise data management.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 13, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Cloud #Data Warehouse #Data Architecture #Data Lake #Storage #Data Pipeline #Business Analysis #MDM (Master Data Management)
Role description
Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. β€œTomorrow’s ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries. Title: Technical Business Analyst Location: Chicago, IL (3 days onsite) Employment Type: Contract Job Description 1. Business Analyst (Healthcare) - Knowledgeable about the healthcare domain, specifically data domains, data sources, healthcare decisions that need to be made using data 1. Business Analyst (Education) - Knowledgeable about the education (in the context of healthcare) domain, specifically data domains, data sources, education related decisions that need to be made using data 1. Data Product Manager - What elements to be included when designing a data lake, how to monetize data, features to include in a data product app 1. Enterprise Data Architect - Deep knowledge of data platforms - cloud-based, COTS. Data flows, lineage, governance, MDM, storage...pretty much everything when defining a target data platform. 1. Data Architect - Low level data pipeline design, cloud solutions, modeling, handle large volume, handle unstructured and structured data, create data lakes, data warehouse 1. Program Manager - coordination, scheduling, roadmap, budget.