Data Quality Analyst
Core
Analyze data quality, coverage, and comparisons across multiple internal data sources to turn imperfect source data into reliable facts.
Role type
Data Quality Analyst (Contract)
Builds
Reliable facts and data validation findings for business and technical stakeholders
Domain
Enterprise data management, data quality, and cross-source comparison
Required skills
SQL, Databricks, ETL concepts, data-flow validation, graph-style data models, analytical thinking, attention to detail
Preferred skills
Python, BI tools, documenting business rules, enterprise domain knowledge (ERP, HR, CRM, billing)
Technologies
Databricks, SQL, Python, ETL, CRM, ERP
Responsibilities
Analyze data quality, coverage, and comparisons across multiple internal data sources; Assess the consistency, completeness, and reliability of identifiers and relationships across systems; Investigate ambiguous or conflicting source records and determine their suitability for business use cases; Apply and refine business rules to derive usable facts from noisy, incomplete, or inconsistent data; Compare new datasets with existing sources to identify strengths, weaknesses, and coverage tradeoffs; Deliver clear analysis, recommendations, and validation findings to business and technical stakeholders.