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Xperteez Technology

🌎 Data Analyst - Remote, Contact

Sorry, this job was removed at 04:05 p.m. (EST) on Thursday, Oct 08, 2026
Remote
Hiring Remotely in United States
Entry level
Remote
Hiring Remotely in United States
Entry level

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Role Title: Data Analyst

Role Type: Contractor

Location: Remote

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.

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.

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