Data Quality Excellence Leader

5 days ago


Ellore, Andhra Pradesh, India beBeeDataQuality Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title: Data Quality Excellence Leader

At the heart of our organization lies a commitment to excellence in data quality. As a Data Quality Excellence Leader, you will be responsible for spearheading our data quality assurance efforts, driving organizational objectives through data-driven strategies, and fostering a culture of precision within our teams.

Key Responsibilities:

  • Develop and implement a comprehensive data quality strategy that aligns with our organizational goals, ensuring seamless integration with existing processes.
  • Establish standards and best practices for data quality assurance, guaranteeing consistency across all systems.
  • Lead data profiling and analysis initiatives to identify accuracy, completeness, consistency, and timeliness issues, enabling informed decision-making.
  • Design and implement robust data quality checks and controls, maintaining the highest standards of reliability and efficiency.
  • Define key performance indicators (KPIs) to measure data quality, providing actionable insights for stakeholders.
  • Generate regular reports on data quality metrics and trends, empowering data-driven decisions.
  • Maintain meticulous documentation on data quality issues, resolutions, and improvements, facilitating knowledge sharing and process refinement.
  • Lead and mentor a team of skilled data quality analysts or engineers, promoting professional growth and development.
  • Collaborate closely with technology teams and architects to design and develop innovative solutions, streamlining data workflows and enhancing overall quality.

Nice to Have Skills:

  • Familiarity with big data technologies like Hadoop, Spark, and NoSQL databases can be advantageous.
  • Proficiency in data visualization tools (e.g., Tableau, Power BI) is beneficial for effective communication and stakeholder engagement.
  • Awareness of data security principles and practices is crucial for ensuring that data quality initiatives align with organizational security requirements.


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