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Workforce Management Real Time Analyst

Remote · Qatar Full-time

• As WFM Real Time Analyst – you will be part of the Workforce Management team and will be responsible for real-time monitoring to ensure optimum service levels and agent productivity. This role serves as a point of contact for the leadership team regarding real-time management, scheduling, skilling, and queue health.

  • Job Details

Work Setup:

  • Work-from-home
  • Schedule:
  • Monday to Friday, 12:00 PM to 9:00 PM EST
  • Holidays:
  • Philippine Holidays
  • Responsibilities:
  • Real-time monitoring of queues; support real-time updates of queues/skill assignments as needed to balance service levels across queues.
  • Routine evaluation of staffing versus forecast and actioning appropriately to ensure the balance of productivity and service objectives are met.
  • Consult with leaders in planning off queue activities.
  • Prepare and refine weekly schedules to support operational needs.
  • Report and advise on offline activities, service goals, and agent occupancy.
  • Monitor schedule adherence and alert leaders to minimize impact of customers.
  • Facilitate real-time discussions with leaders as required.
  • Propose process improvements to enhance our daily operations.
  • Requirements:
  • 2+ years contact center experience in a Workforce Managed environment.
  • 2+ years experience with a CCaaS software Genesys Cloud CX preferred.
  • Exceptional communication and interpersonal skills are essential.
  • Strong problem-solving skills.
  • Strong organizational/time management skills.
  • Ability to work in an environment focused on continuous improvement.
  • Strong ability to assess situations proactively and make timely, well-informed decisions.
  • Skills:
  • Proficiency in Microsoft Excel.
  • Proficiency in basic PC skills.
  • Experience leveraging analytics and reporting tools, preferably in Power BI.
  • Experience using automated call distribution and call management software, solid understanding of telephony, routing, skilling systems and methodologies.

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