Remote Data Quality Analyst for AI Projects

The Ai Training Company; Polska; Remote; PLN 110,000 - 170,000; Full time

Job summary

The Ai Training Company is seeking experienced Data Analysts and Data Governance professionals to support a remote AI training project. You will review, analyze, and quality-check large business datasets while ensuring privacy and PII compliance.

Responsibilities include data validation, documenting findings, and providing actionable recommendations. Ideal candidates have strong data-analysis skills and experience with Excel, SQL, Python, and BI tools.

Qualifications

• Professional experience in data analysis, data quality, or a closely related field.
• Experience working with large business datasets and identifying data errors.
• Strong attention to detail and ability to follow guidelines.
• Ability to clearly document findings and recommendations.

Responsibilities

• Review and analyze large business datasets.
• Validate data for accuracy, completeness, consistency, and relevance.
• Identify missing values, duplicates, 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.
• Document data-quality issues clearly and provide recommendations.
• Communicate findings to project stakeholders.
• Maintain compliance with privacy, security, and data-handling requirements.
• Work independently in a remote, distributed project environment.

Skills

Data analysis

Attention to detail

Data privacy

Data governance

Document review

Analytical thinking

Communication

Tools

Excel

SQL

Python

Tableau

Power BI

Job description

The Ai Training Company is seeking experienced Data Analysts and Data Governance professionals to support a remote AI training project. You will review, analyze, and quality-check large business datasets while ensuring privacy and PII compliance.

Responsibilities include data validation, documenting findings, and providing actionable recommendations. Ideal candidates have strong data-analysis skills and experience with Excel, SQL, Python, and BI tools.