Data Quality Analyst

About the role

Babel is looking for a Data Quality Analyst to ensure the accuracy, consistency, and reliability of data used across analytical platforms, data lakes, data warehouses, reports, and AI solutions. The analyst will validate data throughout its lifecycle, identify deviations, and implement controls that support trustworthy decision‑making.

Key responsibilities

• Design and execute data quality tests for ingestion, transformation, and consumption processes.
• Validate completeness, accuracy, uniqueness, consistency, timeliness, and traceability of data.
• Identify, document, and track data quality incidents.
• Define and monitor data quality rules, controls, and metrics.
• Validate ETL/ELT processes, data models, tables, views, files, and dashboards.
• Create test cases and plans, documenting evidence for production releases.
• Automate data validations and tests where possible.
• Collaborate with Data Engineering, BI, Analytics, Business, and Data Governance teams to resolve findings.
• Generate reports on quality results, risks, and trends.
• Ensure compliance with documentation, security, and data governance standards.

Required profile

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Experience in data quality, data testing, QA, business intelligence, analytics, or ETL/ELT processes.
• Strong knowledge of SQL for data querying, analysis, and validation.
• Understanding of relational databases and data modeling.
• Familiarity with data visualization and integration tools.

Required skills

• SQL
• Relational databases
• Data modeling
• Microsoft Azure
• Microsoft Fabric
• Databricks
• Power BI
• Snowflake
• Data‑testing automation tools
• Test‑management tools
• Agile methodologies (Scrum/Kanban)

What we offer

• Opportunity to work in a multinational technology consulting firm.
• Professional growth within Babel’s strategic “HyperSpace 2029” plan.