Data Analyst
Core
Developing scalable data-quality capabilities, automated validation frameworks, and intelligent anomaly detection for large datasets without requiring domain knowledge.
Role type
Data Analyst (Data Quality & Automation focus)
Builds
Automated data-validation checks, reusable frameworks for inconsistency detection, and scripts/tools for data-quality assessments.
Domain
Data Engineering, Data Quality, AI/ML-assisted automation
Deliverable
production ML models
Required skills
SQL, Python or R, statistical validation, anomaly detection, data-quality frameworks, ETL/ELT patterns, GenAI concepts, prompt engineering, MS Copilot studio
Preferred skills
SODA, data engineering concepts
Technologies
SQL, Python, R, MS Copilot studio, SODA
Responsibilities
Perform validation of structured/unstructured datasets, design automated validation checks (schema, threshold, drift), develop scripts/pipelines for automation, integrate tools into data infrastructure
Seniority
Mid-level, hands-on IC
