Data Analyst✦ anywhere

🏒 micro1 · all 365 jobs
πŸ“ Worldwide
πŸ“… Posted Oct 30, 2026 Β· via Himalayas
βœ… Verified open β€” last confirmed 2h ago
🏷 Data Analyst, Analytics Analyst, Data Science Analyst, Associate Data Analyst, Data Analytics Specialist, Research Data Analyst +1 more
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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

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