Remote Workforce Analytics & Scheduling Analyst

Maximus

United States

Remote

USD 70,000 - 110,000

Full time

4 hours ago
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Job summary

Maximus is seeking an Analyst – Workforce Services to optimize contact center performance through forecasting, scheduling, real-time monitoring, and workforce analytics. You will turn data into actionable staffing decisions that improve service levels, efficiency and customer experience in a fully remote role.

The ideal candidate holds a Bachelor's degree and 3+ years of forecasting experience, with familiarity in workforce management tools such as Amazon Connect and similar platforms (NICE/IEX,

Qualifications

  • Bachelor's degree in a relevant field or equivalent experience.
  • 3+ years of relevant professional experience.
  • Experience forecasting inbound contact center volumes and back-office workloads.
  • Experience with workforce management tools such as Amazon Connect or similar platforms.

Responsibilities

  • Provide analytics data of call/web chat arrival patterns and seasonality analyses.
  • Analyze and communicate work schedules for agents and maintain accuracy of staff plans.
  • Monitor attendance and adjust settings in workforce management software.
  • Track schedule adherence and monitor Real-Time and Intra-Day activities.
  • Create ad hoc reports on agent scheduling, volumes, and performance metrics.
  • Develop and maintain forecasts for inbound volumes and back-office workloads.
  • Provide attendance oversight and adjust staffing to meet service objectives.

Skills

Forecasting
Scheduling
Real-time monitoring
Workforce analytics
Data analysis
Reporting

Education

Bachelor's degree in relevant field

Tools

Amazon Connect
NICE/IEX
Verint WFM
Calabrio WFM

Job description

Maximus is seeking an Analyst – Workforce Services to optimize contact center performance through forecasting, scheduling, real-time monitoring, and workforce analytics. You will turn data into actionable staffing decisions that improve service levels, efficiency and customer experience in a fully remote role.

The ideal candidate holds a Bachelor's degree and 3+ years of forecasting experience, with familiarity in workforce management tools such as Amazon Connect and similar platforms (NICE/IEX,

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