KeyPhase Inc

Senior Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst in Downtown Chicago, IL, for a 6-month contract. Key skills include strong SQL, Snowflake experience, data quality expertise, and advanced Excel. Experience with system-of-record environments and data governance tools is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
December 23, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Data Architecture #Data Accuracy #SQL (Structured Query Language) #Data Analysis #Informatica #Data Security #Normalization #Snowflake #Data Engineering #SQL Queries #Data Management #Metadata #Data Quality #Data Framework #Security #Data Normalization #Datasets #Collibra #Data Governance
Role description
Position: Senior Data Analyst Location: Onsite (3–4 days/week) – Downtown Chicago, IL Duration: 6-month contract (potential extension) Job Summary: We are seeking a hands-on Senior Data Analyst to support enterprise system-of-record and data quality initiatives. This role focuses on advanced data analysis, SQL query development, data validation, and remediation across large, centralized data platforms. The ideal candidate is a self-starter who can work independently while collaborating closely with data engineering, data governance, and business teams to ensure high data accuracy, integrity, and consistency. Must-Have Skills: β€’ Strong SQL and Snowflake development experience β€’ Proven expertise in data quality, data analysis, and data normalization β€’ Advanced Excel skills β€’ Experience with system-of-record or master data environments β€’ Knowledge of data frameworks, data architecture, metadata, and data security β€’ Hands-on experience with data management/governance tools (e.g., Collibra, Informatica, Atacama; Profisee is a plus) Responsibilities: β€’ Develop and optimize SQL queries to analyze large datasets and identify data issues β€’ Define, monitor, and report on data quality metrics and rules β€’ Validate data accuracy, integrity, and consistency across multiple systems β€’ Identify, document, and track data defects and partner with engineering teams for resolution β€’ Support daily operations of centralized data repositories and master data systems β€’ Collaborate with data engineering, governance, and business teams to improve data processes and standards