The Role
The Data Governance & Quality Analyst ensures data accuracy and consistency, supports decision-making, and drives data quality improvements.
Summary Generated by Built In
Role overview
As a Data Governance & Quality Analyst, you will play a key role in ensuring the accuracy, consistency, and usability of data across the organization. You’ll support strategic and operational decision-making by implementing governance frameworks, validating data, and driving continuous improvement.
Main responsibilities
- Monitor and validate real-time operational data across systems and dashboards
- Build and maintain automated reports and KPI dashboards (BigQuery, Looker Studio)
- Automate data validation and reporting using Google App Script, Python, and Sheets
- Identify data inconsistencies and propose actionable improvements
- Conduct data integrity audits and support compliance (GDPR, CCPA)
- Recommend improvements to data models and stewardship practices
- Track data quality metrics and report anomalies
Key requirements
- Bachelor’s degree in Data Science, Information Systems, or related field
- 3+ years of experience in data governance or data quality roles
- Proficiency in SQL, Python, Google BigQuery, and Snowflake
- Strong analytical and problem-solving skills
- Familiarity with data compliance standards (GDPR, CCPA)
Skills Required
- Bachelor's degree in Data Science, Information Systems, or related field
- 3+ years of experience in data governance or data quality roles
- Proficiency in SQL
- Proficiency in Python
- Proficiency in Google BigQuery
- Proficiency in Snowflake
- Familiarity with data compliance standards (GDPR, CCPA)
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. They serve as an operations partner for AI, robotics, and autonomous programs, managing complex data collection and field operations across markets. Their teams count features, take pictures, record speech, and scan areas to provide high-quality data where automation is not possible, supporting clients in making informed decisions.








