Data Quality & Governance Analyst

Instant Impact; Polska; Hybrid; PLN 120,000 - 180,000; Full time

Job summary

Instant Impact is seeking a Data Management Analyst to join the Data team in Cracow. You will drive data quality, metadata management, and governance across both structured and unstructured data assets, ensuring compliance and readiness for analytics, automation, and AI initiatives.

You will work with Data Owners, Data Stewards and Engineering teams to document CDEs, define business rules, and maintain the enterprise data catalogue.

Qualifications

• Experience in data quality, metadata management, data governance.
• Hands-on with data quality tooling, profiling, lineage capture, glossary management, and metadata enrichment.
• Strong SQL and Python skills for data analysis and governance tasks.

Responsibilities

• Deliver data quality and governance initiatives across structured and unstructured datasets.
• Identify and document Critical Data Elements (CDEs) including ownership and business rules.
• Develop and maintain data quality rules and thresholds using enterprise tooling.
• Define and monitor data quality metrics and remediation plans.
• Collaborate with Data Stewards and stakeholders to resolve data quality issues.
• Maintain enterprise data catalogue and metadata standards.
• Promote data catalogue adoption across business functions.
• Partner with Data Engineering to embed quality controls into pipelines.
• Support data lineage capture and transparency across platforms.
• Contribute to governance forums and propose improvements to data handling.

Skills

Data quality

Metadata management

Data governance

SQL

Python

Azure

Profiling

Glossary management

Lineage capture

Stakeholder management

Tools

Data quality tooling

Data catalogue tooling

Job description

Instant Impact is seeking a Data Management Analyst to join the Data team in Cracow. You will drive data quality, metadata management, and governance across both structured and unstructured data assets, ensuring compliance and readiness for analytics, automation, and AI initiatives.

You will work with Data Owners, Data Stewards and Engineering teams to document CDEs, define business rules, and maintain the enterprise data catalogue.