Data Analyst | $60/hr Remote

Crossing Hurdles; Ciudad de México; Remote; MXN 300,000 - 480,000; Full time

Job summary

Crossing Hurdles in Mexico City seeks a detail-oriented data quality analyst to review and analyze large business data sets for accuracy and relevance.

You will manage documents with PII, uphold privacy regulations, identify data quality issues, and provide actionable feedback to guide AI training. Remote work is supported in a distributed environment.

Strong communication, meticulous attention to detail, and collaboration with stakeholders are essential for success in this role.

Qualifications

• Experience analyzing large business data sets.
• Proven experience handling data containing PII.
• Strong understanding of data privacy regulations and best practices.
• Background in document review, data quality assurance, or audits.

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 QA standards for data review assignments.
• Collaborate with project stakeholders through clear, professional written and verbal communication.

Skills

Large data sets analysis

PII handling

Data privacy regulations

Document review

Clear communication

Attention to detail

Remote work experience

Job description

• 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.

Requirements

• 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.