Scheduling Coordinator
Manchester, Manchester, United Kingdom

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职位详情

就业类型: 

Full-Time

地点:

Manchester, Manchester, United Kingdom

职位类别:

Customer Support

职位编号:

WD30246926

职位描述

What you will do 

As a Scheduling Coordinator, you will be at the heart of operational excellence—translating forecasts into smart, efficient schedules that keep our teams performing at their best. You will guide planning decisions across Front Office, Back Office, and Field Operations, ensuring we meet our service commitments while adapting to real-time challenges. Your insights will shape how we allocate resources, manage shifts, and respond to demand, making you a key player in driving performance and delivering value. If you thrive on turning data into action and enjoy collaborating with stakeholders to solve complex planning puzzles, this is your opportunity to make a real impact.

What we offer

  • Competitive Salary: Reflecting your skills and experience.
  • Genours & Flexible Leave Entitlement: 25 days of annual leave plus Bank Holidays.
  • Holiday Purchase Scheme: Buy up to 10 additional days, increasing your total annual entitlement to the equivalent of up to 35 days.
  • Comprehensive Benefits: Including pension plan (up to 7% employer contribution match), life assurance, employee assistance program, and referral scheme.
  • Exclusive Discounts: With high street brands, cycle-to-work scheme, and discounts on Johnson Controls security products.
  • Career Development: Extensive opportunities for growth and advancement.

How you will do it 

  • Through ongoing review of short, mid, and long-term forecasting accuracy
  • By balancing SLA requirements and escalating risks with insight
  • Via effective communication and collaboration with stakeholders
  • By maintaining high data quality and version control in planning tools
  • Through proactive governance and continuous improvement of planning processes

What we look for 

Required 

  • Minimum of 3 years’ experience in a Resource Planning team within Front Office, Back Office, or Field Services
  • Strong analytical skills with experience in propensity/regression analysis across multichannel environments
  • Excellent problem-solving and decision-making capabilities
  • Effective team collaboration and communication skills

Preferred

  • Proficiency in WFM software (NICE, Verint, Alvaria, EG Solutions)
  • Experience with Telephony Operating Systems (NICE, AWS, Avaya)
  • Advanced Excel skills

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