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M

Data Analyst

micro1

Location

Remote · Worldwide, Worldwide

Type

Contract · Remote

Salary

Not disclosed

Experience

Not specified

Source

Auto-fetched from Himalayas

Posted

4h ago

Data-AnalystAnalytics-AnalystData-Science-AnalystAssociate-Data-AnalystData-Analytics-SpecialistResearch-Data-AnalystData-Intelligence-Analyst

Job description

Role Title: Data Analyst Role Type: Contractor Location: Remote micro1 is engaging Data Analysts to contribute to a high-impact customer project focused on business data. 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 ideal for experienced professionals who can expertly review, analyze, and ensure the privacy of large-scale data sets, with a particular emphasis on business data and quality assurance. Scope of Work • Review and analyze extensive business data sets for accuracy, completeness, and relevance. • Conduct thorough document review with strict adherence to data privacy and PII protocols. • Identify, flag, and resolve data quality issues, inconsistencies, and anomalies. • Deliver detailed feedback and recommendations on data findings to inform AI training processes. • Contribute to the development and refinement of quality assurance standards for data review assignments. • Collaborate with project stakeholders through clear, professional written and verbal communication. • Ensure compliance with all established data privacy and security guidelines throughout project deliverables. Preferred Qualifications • Demonstrated expertise in handling and analyzing large business data sets. • Proven experience managing data containing personally identifiable information (PII) and sensitive material. • Strong understanding of data privacy regulations and best practices. • Background in document review, data quality assurance, or audit projects. • Exceptional written and verbal communication skills; ability to convey complex findings clearly and concisely. • High attention to detail and commitment to data accuracy and integrity. • Experience working remotely and delivering consistent, reliable output in a distributed project environment. Originally posted on Himalayas