🌎 Data Analyst - Remote, Contact✦ anywhere

🏒 Xperteez Technology · all 128 jobs
πŸ“ Worldwide
πŸ“… Posted Oct 29, 2026 Β· via Himalayas
βœ… Verified open β€” last confirmed yesterday
🏷 Data Analyst, Business Data Analyst, Data Quality Analyst, AI Training Data Analyst, Remote Data Analyst
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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

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Review and analyze extensive business data sets for accuracy, completeness, and relevance.

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Conduct thorough document review with strict adherence to data privacy and PII protocols.

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Identify, flag, and resolve data quality issues, inconsistencies, and anomalies.

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Deliver detailed feedback and recommendations on data findings to inform AI training processes.

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Contribute to the development and refinement of quality assurance standards for data review assignments.

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Collaborate with project stakeholders through clear, professional written and verbal communication.

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Ensure compliance with all established data privacy and security guidelines throughout project deliverables.

Preferred Qualifications

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Demonstrated expertise in handling and analyzing large business data sets.

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Proven experience managing data containing personally identifiable information (PII) and sensitive material.

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Strong understanding of data privacy regulations and best practices.

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Background in document review, data quality assurance, or audit projects.

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Exceptional written and verbal communication skills; ability to convey complex findings clearly and concisely.

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High attention to detail and commitment to data accuracy and integrity.

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Experience working remotely and delivering consistent, reliable output in a distributed project environment.

Originally posted on Himalayas

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