Data Analyst Expert (Remote | $31–$60/hr)

Synthires; New Zealand; Remote; NZD 43,000 - 83,000; Full time

Benefits offered by this job

Fully remote

Flexible project-based work

Job summary

Synthires is seeking experienced Data Analysts to contribute to a high-impact customer project focused on business data analysis and AI training. You’ll apply your expertise in data analysis, document review, data privacy, and quality assurance to evaluate large-scale datasets and provide high-quality input that helps improve how next-generation AI systems learn, reason, and perform.

You will review large datasets, ensure privacy/compliance, identify data-quality issues, and provide findings to

Qualifications

• Proven experience handling and analyzing large business datasets.
• Experience with personally identifiable information (PII) and sensitive data.
• Strong knowledge of data privacy regulations, protocols, and best practices.
• Background in data analysis, document review, data quality assurance, audit, or related fields.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication.
• High attention to detail with a commitment to data accuracy and integrity.
• Ability to work independently in a remote, distributed environment.

Responsibilities

• Review large-scale business datasets for accuracy and relevance.
• Conduct document reviews with strict data privacy and PII protocols.
• Identify, flag, and resolve data-quality issues and anomalies.
• Evaluate data integrity and ensure adherence to quality standards.
• Provide detailed findings and recommendations to support AI training processes.
• Contribute to development of quality-assurance standards for data reviews.
• Collaborate with stakeholders through clear written and verbal communication.
• Maintain compliance with data privacy and security requirements.
• Deliver high-quality work across assigned datasets and deliverables.

Skills

Data analysis

PII handling

Analytical thinking

Written & verbal communication

Attention to detail

Remote collaboration

Job description

This opportunity is for experienced Data Analysts interested in contributing to a high-impact customer project focused on business data analysis and AI training.

You’ll apply your expertise in data analysis, document review, data privacy, and quality assurance to evaluate large-scale datasets and provide high-quality input that helps improve how next-generation AI systems learn, reason, and perform.

Key Responsibilities

• Review and analyze large-scale business datasets for accuracy, completeness, and relevance.
• Conduct detailed document reviews while adhering to strict data privacy and PII protocols.
• Identify, flag, and resolve data-quality issues, inconsistencies, and anomalies.
• Evaluate data integrity and ensure information meets established quality standards.
• Provide detailed findings, feedback, and recommendations to support AI training processes.
• Contribute to the development and refinement of quality-assurance standards for data review assignments.
• Collaborate with project stakeholders through clear and professional written and verbal communication.
• Maintain strict compliance with established data privacy and security requirements.
• Deliver accurate, consistent, and high-quality work across assigned datasets and project deliverables.

Required Qualifications

• Demonstrated experience handling and analyzing large business datasets.
• Proven experience working with personally identifiable information (PII) and sensitive data.
• Strong understanding of data privacy regulations, protocols, and best practices.
• Background in data analysis, document review, data quality assurance, audit, or related fields.
• Strong analytical and problem-solving skills.
• Exceptional written and verbal communication skills.
• High attention to detail with a strong commitment to data accuracy and integrity.
• Ability to identify inconsistencies, anomalies, and potential data-quality risks.n
• Ability to work independently and consistently in a remote, distributed environment.

Preferred Qualifications

• Experience with large-scale business data review or quality-assurance projects.
• Familiarity with privacy and security practices for sensitive datasets.
• Experience reviewing business documents and structured data for accuracy and completeness.
• Ability to communicate complex data findings clearly and concisely.
• Strong organizational and time-management skills.
• Previous experience working on remote or distributed projects. li>Experience contributing to data-quality standards or review workflows.

Compensation

• Competitive compensation of $31–$60/hour.
• Fully remote and flexible project-based work.
• Work focused on business data analysis, privacy, document review, and quality assurance.
• Relevant professional experience in data analysis, business data, document review, data privacy, or quality assurance.
• Ability to handle sensitive and PII-containing information in accordance with established privacy and security requirements.