Real-Time Workforce Analyst & Optimization Pro

Sun Chemical Corporation

Cincinnati (OH)

On-site

USD 60,000 - 90,000

Full time

4 days ago
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Holidays
Paid Time Off
Disability Benefits
Life Insurance

Job summary

Sun Chemical Corporation is seeking a Workforce Analyst to optimize service delivery for the North America Customer Service team. You will support 50+ agents, monitor over 150,000 annual contacts, and help maintain service level targets across a 12-hour EST window.

Responsibilities include real-time staffing, data reporting with SAP/Genesys Cloud/SuccessKPI, and cross-functional collaboration to drive efficiency and forecast staffing needs.

Qualifications

  • High school diploma or equivalent required.
  • Minimum 2 years of experience in contact center operations, workforce management, scheduling, forecasting, or a related field.
  • Experience using workforce management, reporting, and customer service platforms preferred.

Responsibilities

  • Real-Time Operations Management: monitor volumes and staffing across a 12-hour window.
  • Data Analytics & Reporting: generate 20+ standard and ad hoc reports using SAP, Genesys Cloud, SuccessKPI, Excel.
  • Workforce Administration & System Support: manage daily schedule adjustments and data across systems.
  • Communication & Collaboration: share updates with stakeholders and support cross-functional projects.

Skills

Workforce management
Forecasting
Data analysis
Excel

Education

High School Diploma or equivalent

Tools

SAP
Genesys Cloud
SuccessKPI

Job description

Sun Chemical Corporation is seeking a Workforce Analyst to optimize service delivery for the North America Customer Service team. You will support 50+ agents, monitor over 150,000 annual contacts, and help maintain service level targets across a 12-hour EST window.

Responsibilities include real-time staffing, data reporting with SAP/Genesys Cloud/SuccessKPI, and cross-functional collaboration to drive efficiency and forecast staffing needs.

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