Data Quality Manager

hace 3 semanas


Madrid, Madrid, España Gartner Careers A tiempo completo

About the Role:

We are seeking a highly motivated and detail-oriented Data Quality Manager to join our team at Gartner Careers. The ideal candidate for this role will have a demonstrated ability to work in a high-growth, fast-paced environment, using data to support database health that would scale to drive commercial results.

Key Responsibilities:

  • Work with cross-functional teams to establish data quality standards and best practices.
  • Conduct root cause analysis to identify and evaluate data quality trends, contributing to the improvement of controls and reports.
  • Run data reconciliation periodically to ensure data accuracy and identify and resolve any discrepancies.
  • Collaborate with IT business partners to develop and implement new processes and procedures to enhance data quality.
  • Ensure reports are up-to-date, accurate, and reliable, using tools like Power BI or other reporting and data visualization platforms.
  • Review and optimize existing SQL code, building and maintaining a library of SQL Server code for efficient data processing and manipulation.
  • Provide technical expertise to manipulate and transform large datasets, translating analytical findings into actionable insights for Marketing stakeholders.
  • Develop and implement data quality metrics and KPIs to monitor and track data accuracy and integrity.
  • Develop data dashboards and visualizations to effectively communicate data quality insights and recommendations.
  • Support commercial growth by using 3rd party contact data acquisition tools (ZoomInfo, Lusha, etc.) to grow the database in identified areas of need.
  • Develop testing strategies to identify opportunities for further audience acquisition growth.
  • Develop data dashboards to effectively translate data into insights and business strategies.

Requirements:

  • Bachelor's or master's degree preferred in a relevant field such as data analytics, computer science, or mathematics.
  • 3-5 years of experience in a data quality-focused role, with a strong understanding of data segmentation, data validation, and data quality assurance.
  • Proficiency in SQL and experience with SQL Server for data processing, manipulation, and optimization.
  • Familiarity with reporting and data visualization tools such as Power BI, Tableau, or similar platforms.

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