Data Analyst
RemoteJobsOne
Brussel, Belgium
3 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Compensation
€64,480.0 - €124,800.0
Working hours
Regular working hours
Job source
Tech stack
Big Data
Data Auditing
Job description
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
- 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.
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.
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- Open in Claude
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