Data Analytics Specialist (Remote | $31–$60/hr)

Synthires; California (MO); Remote; USD 43,000 - 83,000; Full time

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 will apply expertise in data analysis, document review, data privacy, and quality assurance to evaluate large-scale datasets and provide input that helps improve how AI systems learn and perform.

Responsibilities include reviewing large datasets, adhering to PII and privacy protocols, identifying data-quality issues, and delivering findings to

Qualifications

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

Responsibilities

• Review and analyze large-scale business datasets for accuracy and relevance.
• Conduct document reviews with strict data privacy and PII protocols.
• Identify and resolve data-quality issues, inconsistencies, and anomalies.
• Evaluate data integrity and ensure quality standards are met.
• Provide detailed findings to support AI training processes.
• Contribute to QA standards for data review assignments.
• Collaborate with stakeholders through clear written and verbal communication.
• Maintain compliance with data privacy and security requirements.
• Deliver accurate, high-quality work across datasets and deliverables.

Skills

Large datasets

PII handling

Data privacy

Analytical skills

Communication skills

Remote work

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.