onsite
Senior QA/QC Data Analyst - CDM Smith
Data Analyst
Lead data quality assurance and quality control for complex datasets, leveraging SQL, Python, and statistical techniques to ensure accuracy and integrity across enterprise analytics platforms.
About the role
Key Responsibilities
- Design, develop, and maintain automated QA/QC processes for large-scale data pipelines using SQL and Python.
- Perform statistical analysis and anomaly detection to identify data quality issues and recommend corrective actions.
- Collaborate with data engineering and analytics teams to define data quality metrics and implement monitoring dashboards in Tableau.
- Document data validation rules, test cases, and quality standards to support compliance and audit requirements.
- Lead root‑cause analysis for data discrepancies and drive continuous improvement initiatives.
Requirements
- 5+ years of experience in data quality, QA/QC, or related analytics roles.
- Proficiency in SQL, Python, and statistical analysis libraries (pandas, NumPy, SciPy).
- Strong understanding of ETL concepts and experience with data pipeline tools.
- Experience creating interactive dashboards and reports in Tableau or similar BI tools.
- Excellent problem‑solving skills and attention to detail.
Skills
sqlpythondata analysistableau