Data Analyst

RemoteJobsOne

Los Angeles (CA)

Remote

USD 43,000 - 83,000

Full time

2 days ago
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Job summary

RemoteJobsOne is seeking a Data Analyst contractor to contribute to a high-impact customer project focused on business data. You will review, analyze, and ensure the privacy of large-scale data sets, with emphasis on data quality to inform AI training.

This fully remote role is open to U.S.-based candidates with strong experience handling PII, data privacy, and QA standards. You will communicate with stakeholders and maintain rigorous data accuracy in a distributed environment.

Qualifications

  • Expertise in handling and analyzing large business data sets.
  • 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 output in distributed environments.

Responsibilities

  • Review extensive business data sets for accuracy, completeness, and relevance.
  • Conduct document review with strict adherence to privacy and PII protocols.
  • Identify, flag, and resolve data quality issues and anomalies.
  • Deliver detailed feedback and recommendations to inform AI training processes.
  • Contribute to QA standards for data review assignments.
  • Collaborate with stakeholders through clear written and verbal communication.
  • Ensure compliance with data privacy and security guidelines throughout deliverables.

Skills

Data analysis
PII handling
Data privacy
Document review
Quality assurance
Communication skills
Remote work

Job description

IMPORTANT: after you apply, please check your email. We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder.

This is a fully remote position, open to candidates based in United States.

Pay: $31–$60/hr

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.

Scope of Work

  1. Review and analyze extensive business data sets for accuracy, completeness, and relevance.
  2. Conduct thorough document review with strict adherence to data privacy and PII protocols.
  3. Identify, flag, and resolve data quality issues, inconsistencies, and anomalies.
  4. Deliver detailed feedback and recommendations on data findings to inform AI training processes.
  5. Contribute to the development and refinement of quality assurance standards for data review assignments.
  6. Collaborate with project stakeholders through clear, professional written and verbal communication.
  7. Ensure compliance with all established data privacy and security guidelines throughout project deliverables.

Preferred Qualifications

  1. Demonstrated expertise in handling and analyzing large business data sets.
  2. Proven experience managing data containing personally identifiable information (PII) and sensitive material.
  3. Strong understanding of data privacy regulations and best practices.
  4. Background in document review, data quality assurance, or audit projects.
  5. Exceptional written and verbal communication skills; ability to convey complex findings clearly and concisely.
  6. High attention to detail and commitment to data accuracy and integrity.
  7. Experience working remotely and delivering consistent, reliable output in a distributed project environment.
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