Data Quality Analyst
Core
Analyze and validate large datasets for accuracy, consistency, and reliability to maintain data quality and identity resolution assets.
Role type
Data Quality Analyst
Builds
Repeatable data-quality checks, reports, and automated validation processes
Domain
Data quality, identity resolution, large-scale data management
Deliverable
production ML models
Required skills
SQL, relational databases, data profiling, data validation, data matching, deduplication, entity resolution, ETL processes, data investigation
Preferred skills
Python, AI, scripting tools, data processing pipelines, production data issue investigation
Technologies
AI, ETL, Python, SQL
Responsibilities
Investigate anomalies, duplicate identifiers, and incorrect matches; Write SQL queries to compare datasets and find patterns; Develop automated validation processes; Collaborate with Data Production and QA teams to resolve issues; Monitor quality trends and recommend improvements; Document findings and validation procedures.
