Data Analysts, Data Quality & Business Data Review Specialists. Remote AI Project

Le informazioni riportate di seguito illustrano i requisiti del ruolo, l'esperienza richiesta ai candidati e le qualifiche associate.

We are seeking experienced Data Analysts, Business Data Analysts, Data Quality Specialists, Data Reviewers, and Data Governance Professionals to support a high-impact AI training project focused on large-scale business data.

You will review, analyze, validate, and quality-check datasets and documents while ensuring strict adherence to privacy, security, and personally identifiable information (PII) requirements.

What You'll Do

- Review and analyze large business datasets
- Validate data for accuracy, completeness, consistency, and relevance
- Identify missing values, duplicate records, anomalies, and incorrect data
- Review documents containing structured and unstructured business information
- Apply strict data privacy and PII-handling requirements
- Identify and flag sensitive or personally identifiable information
- Perform data validation and quality assurance checks
- Investigate data inconsistencies and determine likely root causes
- Document data-quality issues clearly
- Provide recommendations to improve data accuracy and integrity
- Apply project-specific quality standards and review guidelines
- Contribute to the improvement of QA processes, checklists, and evaluation criteria
- Communicate findings clearly to project stakeholders
- Maintain compliance with privacy, security, and data-handling requirements
- Work independently in a remote, distributed project environment

Who Can Apply
Relevant backgrounds include:

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We also welcome:

Quality Analysts,



Quality Assurance Analysts, QA Analysts, Data QA Specialists, Data Auditors, Data Reviewers, Quality Reviewers, Quality Control Analysts, QC Analysts, and Data Accuracy Specialists.

Data governance and privacy backgrounds may include:

Data Governance Analysts, Data Governance Specialists, Data Privacy Analysts, Privacy Operations Specialists, Information Governance Analysts, Data Compliance Analysts, Data Stewardship Professionals, Data Stewards, and Information Management Specialists.

Business and operations backgrounds may include:

Operations Analysts, Business Operations Analysts, Process Analysts, Reporting Analysts, Research Analysts, Risk Analysts, Compliance Analysts, Audit Analysts, and Business Intelligence Analysts with strong data-review experience.

Document-review backgrounds may include:

Document Review Specialists, Document Analysts, Records Analysts, Information Management Specialists, Documentation Specialists, Compliance Reviewers, Audit Reviewers, and Quality Assurance Reviewers.

AI and evaluation backgrounds may include:

AI Data Analysts, AI Evaluators, Data Annotators, Data Labelers, Human Feedback Specialists, Model Evaluators, AI Quality Analysts, Annotation Quality Specialists, and Rubric Evaluators. xivgfpx

Relevant Data Analysis Experience




Strong candidates may have experience with:

- Data cleaning
- Data validation
- Data profiling
- Data quality assessment
- Data integrity checks
- Anomaly detection
- Data matching
- Record linkage
- Data transformation
- Data verification
- Data classification
- Data annotation
- Data review

Requirements

- Professional experience in data analysis, data quality, document review, business analytics, data governance, QA, audit, or a closely related field
- Demonstrated ability to work with large business datasetsReview and analyze large business datasets0Review and analyze large business datasets1Review and analyze large business datasets2Review and analyze large business datasets3Review and analyze large business datasets4Review and analyze large business datasets5Review and analyze large business datasets6Review and analyze large business datasets7Review and analyze large business datasets8Review and analyze large business datasets9
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- 9Validate data for accuracy, completeness, consistency, and relevance0Validate data for accuracy, completeness, consistency, and relevance1Validate data for accuracy, completeness, consistency, and relevance2Validate data for accuracy, completeness, consistency, and relevance3Validate data for accuracy, completeness, consistency, and relevance4Validate data for accuracy, completeness, consistency, and relevance5Validate data for accuracy, completeness, consistency, and relevance6Validate data for accuracy, completeness, consistency, and relevance7Validate data for accuracy, completeness, consistency, and relevance8Validate data for accuracy,

📌 Data Analyst | €50/hr | Remote (Italia)
🏢 The Ai Training
📍 Italia