PineQ Lab Technology

Data Governance Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Governance Analyst with a 12+ month contract, remote work location, and a pay rate of "unknown." Requires 5+ years in data analytics, healthcare or financial services experience, proficiency in SQL/Python, and knowledge of data governance tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 24, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Agile #Observability #Data Quality #Metadata #Python #Compliance #Data Governance #Programming #Collibra #SQL (Structured Query Language) #Databricks #Data Analysis #Data Management #Data Profiling #Data Exploration
Role description
Position: Data Governance Analyst Duration:12+ Months Location: Remote JD: Job Description: 5+ years experience in data and analytics and/or business process design and development Industry experience in healthcare, life sciences and/or financial services preferred Perform data profiling and database structure research in order to understand critical data elements along with their definitions and use Knowledge or experience in industry leading data governance, data quality, and data observability tools (i.e., Collibra, Soda, Databricks Unity Catalog/DBX, etc. Proficient in SQL and/or Python programming languages for data exploration, analysis, and profiling Participate in data governance policy creation, management, and impact analysis of policies under consideration Document and maintain data standards, partnering with functional and business data owners to map existing data structures, usage, and common definitions Design, build, and execute efficient and accurate control structures and reporting to assess data quality and compliance to data governance policy Provide consultative support for business stakeholders by advising on policies, standards, and guidelines Consult on data governance tool implementation supporting metadata management, business glossary, and data quality functions Support current and future state analysis and participate in trainings, workshops, and seminars on data governance methods, standards, and quality Document procedures for future reference and may make recommendations for data analysis process improvements Leverage agile development methodology and principles of product ownership to manage intake of data governance deliverables