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Senior Specialist (Data Analyst), Resolution

Qualtrics

Salary not specified
Sep 10, 2025
Provo, UT, US
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Qualtrics' Customer Operations teams need actionable insights and data integrity to drive world-class customer experiences across technical and commercial support journeys. The Senior Specialist (Data Analyst) role is responsible for extracting, analyzing, and visualizing data to help drive these experiences.

Requirements

  • SQL
  • Tableau
  • Python
  • Excel / Sheets preferred
  • Experience building dashboards/reports.
  • Experience in a data analysis or related role
  • Experience with data pipelines

Responsibilities

  • Extract and compile data from various sources to support reporting and analysis needs.
  • Develop and maintain insightful dashboards and reports for Customer Ops teams.
  • Analyze key support metrics to identify trends, patterns, and areas for improvement.
  • Partner with Services analysts and Engineering to ensure data accuracy and integrity, addressing any data discrepancies or issues.
  • Develop automations to alert appropriate teams or leaders on high priority issues requiring review and action
  • Monitor key support metrics.
  • Resolve data issues through dashboard / reports development and establishing robust data processes.

Other

  • Bachelor’s or Master's degree from a top university, ideally in a quantitative field (e.g., Statistics, Mathematics, Computer Science, etc.).
  • 1+ years experience in a data analysis or related role using SQL, Tableau, Python, and Excel / Sheets preferred
  • Passion for data analysis and experience building dashboards/reports.
  • Detail-oriented with an ability to prioritize and meet deadlines.
  • Excellent analytical, verbal, and written communication skills.
  • Ability to present data insights and proposals to leaders in a clear and effective manner.
  • Ability to take on data problems and identify the root cause of issues.
  • Ability to concurrently manage multiple data projects in a dynamic environment.
  • Comfort working both autonomously and collaboratively.