Data Quality Associate Manager

AccentureBoston, MA
1d

About The Position

The Data Quality Associate Manager is an analytical thinker who is passionate about leveraging data to solve complex problems and enhance operational effectiveness. In this role, you will work closely with cross-functional teams to gather requirements, analyze data quality issues, and implement solutions to enhance the overall quality of data for reporting and analytics purposes.

Requirements

  • Minimum of 5 years of experience in data quality or data management
  • Working knowledge of Data Quality Tools (e.g. Informatica Data Quality (IDQ), Collibra, IBM Infosphere, Talend, Qlik, Precisely Data Quality 360 etc.,)
  • Working knowledge of Data Profiling Tools
  • Demonstrated experience implementing data quality processes
  • Expertise of data quality frameworks and methodologies, and experience applying them in the real world all stages of the data lifecycle
  • Strong analytical skills to identify data issues
  • Proficiency in data profiling and cleansing techniques
  • Familiarity with data governance and compliance standards

Nice To Haves

  • Bachelor’s degree
  • Information Technology or Data Management Certification in data quality management or data governance a plus
  • Experience in project management methodologies such as Agile
  • Experience leading teams

Responsibilities

  • Profile and assess the quality of data by utilizing advanced tools and techniques to analyze data quality characteristics such as completeness, accuracy, consistency, and timeliness.
  • Implement data cleansing strategies to rectify identified data quality issues and discrepancies.
  • Investigate and resolve data quality issues in a timely manner, collaborating with relevant stakeholders as needed.
  • Work with IT and business teams to address underlying issues and implement corrective actions
  • Prepare and present reports on data quality metrics, trends, and issues to management and stakeholders.
  • Provide guidance, mentorship, and training to team members to incorporate data practices and standards across our delivered services and technology platforms
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