Data Governance & Quality Analyst

Reposted Yesterday
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Kraków, Małopolskie, POL
In-Office
Mid level
Artificial Intelligence • Automotive • Information Technology • Robotics
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)
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The Company
HQ: Warsaw
350 Employees
Year Founded: 2017

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.

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