Data Analyst

RemoteJobsOne; Toronto; Remote; CAD 43,000 - 83,000; Part time

Job summary

RemoteJobsOne is seeking a Data Analyst for a fully remote contractor role open to candidates in Canada. You will review and analyze business data, ensure data privacy, and guide AI training inputs with precise quality assurance. Strong written/verbal communication and PI I handling experience are essential.

You will collaborate asynchronously with stakeholders, maintain data integrity, and adhere to privacy guidelines while delivering reliable outputs across a distributed team.”

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.

Responsibilities

• 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.

Skills

Data analysis

PII handling

Data privacy

Documentation review

Quality assurance

Remote collaboration

Attention to detail

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 Canada.

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.