Senior Work Force Management Analytics Manager

Appello Group
Norwich
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Global Head of Data Engineering

Data Analyst

Freelance Data Analyst

Senior Data Engineer and Data Manager

Senior Data Engineer


Untitled design.pngSenior Work Force Management Analytics Manager⏲Hours: 35 hours per weekShift pattern: Monday - Friday 09:00-17:00 Salary:  up to £44,000 per annum dependant on experience Location: Remote

This role is a UK based role and any remote work must also be within the UK.

Start Date : December 2024

For this role, you need 5mpbs upload and 15mpbs download internet speed
 

Appello Perks

  • 25 Days annual leave allowance plus Bank holidays 
  • Private individual Medical Cover
  • We offer you discounts on everything from groceries and shopping through to holidays, insurance, days out, restaurants and more
  • 24/7 employee assistance programme with an easily accessible app!
  • Family and friends’ discounts on our services & products
  • Pension Scheme, up to 3% employers contribution 
  • Cycle to work scheme
  • Smart Tech scheme
  • Free on-site parking

ABOUT YOU

You must possess a genuine desire to help the community, be empathetic and attentive to our customer’s needs. 

You will have significant experience within a WFM role, be an expert at internal stakeholder management. You will be experienced in reporting from a range of sources including WFM and Excel.

You will have obtained a degree or equivalent  and have a PL-300 Microsoft PowerBI Data Analyst Certification or equivalent.

You have the ability to work under pressure & to tight deadlines. You are able to  present information clearly, concisely, accurately and in ways that promote understanding. You are able to think outside the box to deliver results.

THE ROLE

Under the management of the Director of Operations, supported by Alarms Response Centre (ARC) Manager and the Customer Contact Centre Manager the Senior WFM Analytics Manager is responsible for strategically driving the businesses resource and capacity planning agenda in the business-to-consumer division of the Appello Group.

You will be  inwardly and outwardly facing completing complex analysis on call trends looking dynamically to reduce waste and improve service standards.

You will be creating executive summaries of analysed data and deliver to senior stakeholders both internally and externally to the highest standard ensuring information is delivered in an intelligible format

Consistently achieving service levels across all monitoring call handling functions including but not limited to Telecare and the Customer Contact Centre, which includes inbound and outbound Sales, Technical Support, General Customer Care and Customer Account Management.

Achieve this whilst budgeting for overtime and salary spend and where possible reengineer shifts  and dynamically resource allowing salary and budget savings to hit the EBITDA.


READY TO APPLY ✅

If you are interested in this role please upload yourCVand answer a few questions about yourself !

OTHER INFORMATION

This is an exciting time at Careline365 part of the Appello group - we are a company on the move and now is a perfect time to join our team. You’ll gain exceptional career opportunities and will be part of a company that is continuing to expand.

We are committed to equal opportunities and welcome applicants regardless of religious beliefs, political opinion, race, sex, marital status, age or disability.

If you require assistance to participate in the recruitment process, for example due to disability, please contact the careers Team on .


Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!