Data Analyst - Remote

Reposted 8 Hours Ago Remote Hiring Remotely in United States Entry level Remote Hiring Remotely in United States Entry level Reviews and analyzes large business datasets for accuracy, completeness, relevance, privacy, and quality. Conducts document reviews involving PII, identifies data issues and anomalies, provides feedback to support AI training, refines quality assurance standards, and communicates findings to project stakeholders while maintaining data privacy and security compliance. The summary above was generated by AI, We are 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.

Required Skills

• PII
• Data Privacy
• Document Review
• Data Analysis
• 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.

• 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.

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