Mid-Level Data Analyst: IT Call Center Analytics

Sprymethods

Nashville (TN)

On-site

USD 65,000 - 90,000

Full time

9 days ago

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Job summary

Spry Methods is seeking a Mid-Level Data Analyst to support performance monitoring and reporting for the IT Call Center program. You will develop analytical products, evaluate operational data, and deliver insights to improve service delivery and customer experience.

The role focuses on dashboard design, data governance, and collaboration with program leadership to drive data-driven decisions in a fast-paced environment.

Qualifications

  • Bachelor’s degree in a quantitative field from an accredited university.
  • 3+ years in data analysis, BI, or performance reporting.
  • Experience building reports and dashboards for management or stakeholders.
  • Experience creating performance dashboards with Power BI/Tableau.
  • Experience handling operational data for performance monitoring.

Responsibilities

  • Collect, analyze, and validate operational data from ITSM, telephony, and workforce tools.
  • Design, develop, and maintain dashboards, scorecards, and reports on call center performance.
  • Monitor metrics daily, weekly, monthly; identify trends and anomalies; advise leadership.
  • Prepare recurring and ad hoc reports and executive briefings.
  • Perform root cause analyses of SLA impacts and operational gaps.
  • Support continuous improvement with data-driven recommendations.
  • Develop data governance artifacts and maintain data dictionaries.
  • Collaborate with supervisors and ops managers to ensure data quality.

Skills

Data analysis
Communication
Trend analysis
Root cause analysis
Problem solving
Time management
Collaboration
Data governance awareness

Education

Bachelor’s degree in Data Analytics or related field

Tools

Power BI
Tableau
SQL
Excel (Advanced)
ServiceNow
Remedy

Job description

Spry Methods is seeking a Mid-Level Data Analyst to support performance monitoring and reporting for the IT Call Center program. You will develop analytical products, evaluate operational data, and deliver insights to improve service delivery and customer experience.

The role focuses on dashboard design, data governance, and collaboration with program leadership to drive data-driven decisions in a fast-paced environment.

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