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M

Data Privacy Analyst

micro1

Location

Remote · Worldwide, Worldwide

Type

Contract · Remote

Salary

Not disclosed

Experience

Not specified

Source

Auto-fetched from Himalayas

Posted

4h ago

Data-Privacy-AnalystData-Privacy-Analyst-JobsPrivacy-AnalystData-Protection-AnalystPrivacy-Compliance-AnalystData-Privacy-SpecialistPrivacy-Governance-AnalystRegulatory-Privacy-Analyst

Job description

Role Title: Data Privacy Analyst Role Type: Contractor Location: Remote micro1 is engaging Data Privacy Analysts to contribute their expertise to a customer's data privacy initiative focused on protecting sensitive information. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. This opportunity is designed for professionals adept at reviewing, verifying, and safeguarding personal identifiable information (PII) within transformed datasets. The project emphasizes qualitative input and thorough spot-checks to ensure all sensitive details have been properly managed. Scope of Work • Conduct spot-checks of transformed datasets to identify and validate proper redaction or anonymization of PII. • Perform detailed document reviews to verify data privacy standards are consistently upheld. • Assess data sets for any missed or improperly handled sensitive information, providing clear and actionable feedback. • Document and report any discrepancies or observations using provided tools and templates. Preferred Qualifications • Strong background in contract review, quality assurance, eDiscovery, and compliance processes. • In-depth understanding of Personal Identifiable Information (PII) and data privacy regulations. • Background as a Paralegal, eDiscovery Specialist, Privacy Analyst, Information Governance Specialist, Compliance Manager, or Legal Document Review Lead. • Experience in legal document review, litigation support, or managed legal services. • Proven track record of working with sensitive data in high-stakes environments. • Detail-oriented, analytical, and able to maintain accuracy under pressure. Originally posted on Himalayas