Dun & Bradstreet

Quality Analyst

Dun & Bradstreet

full-time

Posted on:

Origin:  • 🇺🇸 United States • Florida

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Job Level

Mid-LevelSenior

Tech Stack

BigQuery

About the role

  • Monitor and evaluate customer service interactions to ensure compliance with quality standards and identify areas for improvement.
  • Utilize automated quality monitoring tools such as CallMiner to streamline evaluation processes and generate actionable insights.
  • Perform text analytics on customer feedback and interaction transcripts to uncover trends and sentiment.
  • Develop and maintain dashboards and reports using Power BI, PowerApps, and BigQuery to support data-driven decision-making.
  • Collaborate with cross-functional teams including Operations, Training, and Technology to implement quality improvement initiatives.
  • Provide regular feedback and coaching to customer service representatives based on quality findings.
  • Assist in the development and refinement of quality scorecards and evaluation criteria.
  • Support root cause analysis and continuous improvement efforts using structured problem-solving methodologies.
  • Apply process improvement methodologies (Six Sigma, TQM, etc.) to quality programs.

Requirements

  • Undergraduate Degree or equivalent work experience required (6-10 years).
  • Prior experience working as an Analyst in a Contact Center environment.
  • Knowledge of D&B Global Customer Services, or experience in a similar environment, is preferred.
  • Ability to prioritize workload and work autonomously, while maintaining excellent attention to detail.
  • Ability to work independently and with diverse teams, in a dynamic environment, as part of a global team while managing multiple priorities.
  • Experience in process improvement methodology, Six Sigma, TQM, ETC.
  • Experience with automated quality monitoring tools such as CallMiner.
  • Experience performing text analytics on customer feedback and interaction transcripts.
  • Experience developing and maintaining dashboards and reports using Power BI, PowerApps, and BigQuery.
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