Data Quality Analyst
Core
Own the quality, integrity, and reliability of data powering reporting, analytics, and downstream machine learning applications by defining standards, building validation logic, and investigating root causes.
Role type
Data Quality Analyst (Data Strategy and Business Intelligence)
Builds
Validation rules, reconciliation processes, quality checks, and data profiling workflows
Domain
Data Governance, Business Intelligence, Machine Learning
Deliverable
production ML models | dashboards & analysis
Required skills
Python, R, SQL, statistical analysis (descriptive and inferential), root-cause investigation, data profiling, machine learning model evaluation, data visualization (Matplotlib, ggplot, Power BI), AI tooling and LLM-based workflows
Preferred skills
None explicitly stated as preferred
Technologies
Python, R, SQL, Matplotlib, ggplot, Power BI, Claude, GPT
Responsibilities
Design and maintain validation rules and reconciliation processes; investigate data integrity issues to root cause; build data pipelines and profiling workflows; partner with engineering teams on data controls; apply statistical methods to detect anomalies; evaluate machine learning model outputs; translate findings into actionable reporting; collaborate on data quality metrics and standards.
Seniority
Mid-level, hands-on IC