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- Tasks: Create demand forecasts and analyse data to optimise contact centre operations.
- Company: Join a progressive team in a leading operations forecasting company.
- Benefits: Competitive salary, bonus, flexible benefits, and hybrid work model.
- Why this job: Make a real impact by improving forecasting accuracy in a dynamic environment.
- Qualifications: Experience in forecasting, advanced Excel skills, and a knack for data analysis.
- Other info: Great opportunity for career growth in a supportive and innovative team.
Location: West Midlands
Hybrid: 2 Days onsite per week
We are recruiting a Contact Centre or Field Based Resource experienced Forecasting & Demand Planning Insights Analyst to join an established and progressive Operations Forecasting & Planning team who provide analytical, forecasting and demand modelling expertise for both a complex and change orientated Contact Centre and a large-scale national Field Resource function.
If you are a technically talented Forecasting Analyst with demonstrable experience creating mid to long range Demand Planning and Forecast models, Capacity Plans and Scenario Models utilising advanced Excel techniques within a contact centre setting we would love to hear from you.
Key Responsibilities- Build accurate short- and mid-term demand forecasts for National Field Resource and Contact Centre operations.
- Analyse large datasets, identify key drivers, and translate insights into clear planning recommendations.
- Use SQL, Excel, and Power BI to create models, reports, and daily/weekly forecasting outputs.
- Work closely with Resource Planning and Operational teams to ensure we have the right people in the right place at the right time to meet frequently fluctuating demand.
- Monitor forecast performance and continuously improve accuracy.
- Demonstrable and evidenced experience fulfilling forecasting outputs and models within a contact centre operational environment (essential).
- Advanced modelling experience (forecasting, demand planning and capacity planning).
- Advanced Excel with (ideally) some SQL skills; Power BI or similar BI tool experience.
- Background in forecasting, planning, or operational analytics (field or contact centre desirable).
- A clear communicator who can explain insights in a simple, meaningful way.
- Well organised, curious, and comfortable managing multiple priorities.
Keen to apply and learn more? Register your interest in the Contact Centre Forecasting & Demand Planning Specialist by applying as directed.
Longreach Recruitment are trusted and proven UK & EMEA recruitment experts within Resource Planning & Workforce Management, Analytics, and Customer Contact Technologies.
Contact Centre Forecasting & Demand Planning Specialist in Walsall employer: Longreach Recruitment
Contact Detail:
Longreach Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contact Centre Forecasting & Demand Planning Specialist in Walsall
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in contact centres or demand planning. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got experience with SQL, Excel, or Power BI, make sure to highlight that in conversations. Maybe even prepare a mini presentation or a portfolio of your past forecasting models to impress potential employers.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by brushing up on common forecasting and demand planning questions. Think about how you can explain your insights clearly and concisely, just like you would in a report.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people in our team.
We think you need these skills to ace Contact Centre Forecasting & Demand Planning Specialist in Walsall
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in forecasting and demand planning, especially within a contact centre environment. We want to see how your skills match the job description, so don’t be shy about showcasing your advanced Excel and SQL abilities!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Contact Centre Forecasting & Demand Planning Specialist role. Share specific examples of your past work that demonstrate your analytical skills and ability to create accurate forecasts.
Showcase Your Analytical Skills: In your application, make sure to mention any experience you have with data analysis tools like Power BI. We love candidates who can turn complex datasets into clear insights, so highlight any relevant projects or achievements that showcase this talent.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Longreach Recruitment
✨Know Your Numbers
Brush up on your forecasting and demand planning metrics. Be ready to discuss how you've built accurate forecasts in the past, and be prepared to share specific examples of models you've created using Excel or SQL.
✨Showcase Your Analytical Skills
Prepare to demonstrate your ability to analyse large datasets. Think of a time when you identified key drivers from data and how you translated those insights into actionable recommendations for a contact centre.
✨Communicate Clearly
Practice explaining complex forecasting concepts in simple terms. The interviewers will want to see that you can communicate insights effectively, so consider how you would present your findings to non-technical stakeholders.
✨Be Ready for Scenario Questions
Expect questions that test your problem-solving skills. Prepare for scenarios where you might need to adjust forecasts based on fluctuating demand, and think about how you would approach these challenges in a real-world context.
