Manufacturing Data Analyst

Knauf
Saint Helens
4 days ago
Create job alert

Job Title:Manufacturing Data Analyst

Knauf stands foropportunity. We know that opportunity looks different to each person, and we are proud that we see opportunity in everyone. This exciting role within Knauf Insulation in theProduction Teamcould be the perfect next opportunity for you to build a unique career, in a values-led culture with a clear purpose of making tomorrow a home for all of us. We are a global manufacturer of construction materials and within our Group, our 41,500 team members in 90 countries across 300 sites provide a huge opportunity for anyone with ambition and energy. We value everyone's contribution equally and we ask that you bring your whole self to work, to enrich the business further, as together we achieve more in a safe and inclusive environment.

Knauf Insulation is proud to be part of the Knauf Group. ….. To learn more about the business,click here.

Can you say ‘yes’?...

  • Do you enjoy working with systems and data?
  • Do you have a strong eye for detail?
  • Do you have a flexible approach to your work?

As ourManufacturing Data Analysthere in our St Helens Plant, you will be the champion and gatekeeper of manufacturing data. You will work closely with all areas of the plant to ensure data integrity, improve understanding, and build analysis into the day to day, delivering manufacturing cost and efficiency savings, whilst supporting others in interpreting data and developing key actions along with reporting and budget setting.

What you’ll be doing…

  • Ensure safety first at all times and influence the team to maintain a safety focus
  • Respect the Knauf values: Commitment, Entrepreneurship, Partnership and Menschlichkeit and apply them in your daily work
  • Maintains master data integrity within systems such as SAP
  • Track actual performance against relevant manufacturing KPI’s
  • Understand, analyze and report manufacturing KPI’s in support of other departmental functions
  • Assist in preparing analysis of month-end results for Plant Leadership
  • Assist the Plant Controller in the development of the budget and forecasts
  • Provide daily support to manufacturing including support to problem solving activities, line investigations and improvement opportunities
  • Support the maintenance of the bills of material to ensure accurate product costing
  • Assist with developing forecasts, annual business objectives and other forms of analysis where required
  • Participate with internal audits

What we’d love for you to have:

We are interested in you as a person, your attitude, behaviours, and values. If you have the willingness to learn anything you need for the role that you don't already have, we'd love to speak to you.

If you have any of the following – this would be an added advantage:

  • Clear drive for improvement, proactive and high level of passion regarding data analysis
  • Strong KI Values displayed and clear understanding of the fundamental principles of Continuous Improvement
  • A degree qualification (or equivalent level) in a relevant discipline would be an advantage.
  • A Six-Sigma qualification (or similar) at Green-belt level or above would be an advantage.
  • Strong problem-solving abilities with an analytical, rigorous approach to data and KPIs
  • Experience within continuous manufacturing.
  • Strong technical process knowledge.
  • Excellent written communication and ability to convey technical information.

We'll provide:

  • 16 weeks Company Sick Pay after 3 months of service
  • Group Income Protection
  • Enhanced Maternity, Paternity and Adoption packages
  • Life Assurance – 4 x annual salary
  • Defined Contribution Pension Scheme
  • Staff Bonus Scheme
  • Career Progression Routes
  • Employee Assistance Programme through Health Assured
  • Westfield Health Cash Plan
  • Perkbox
  • Access to Costco Membership
  • Wickes Employee Purchase Scheme
  • On site Gyms
  • Wellbeing Initiatives and Mental Health First Aiders
  • Car Salary Sacrifice Scheme
  • Cycle to work scheme
  • On site Car Charging Points

What happens next?

We appreciate that your time is precious and applying for a new job can be a lengthy process, so we will reply to your application ASAP.

Related Jobs

View all jobs

Category Data Analyst

Data Analyst

Business Data Analyst

Data Analyst

Data Analyst

Commercial Data Analyst

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.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.

Common Pitfalls Machine Learning Job Seekers Face and How to Avoid Them

Machine learning has emerged as one of the most sought-after fields in technology, with companies across industries—from retail and healthcare to finance and manufacturing—embracing data-driven solutions at an unprecedented pace. In the UK, the demand for skilled ML professionals continues to soar, and opportunities in this domain are abundant. Yet, amid this growing market, competition for machine learning jobs can be fierce. Prospective employers set a high bar: they seek candidates with not just theoretical understanding, but also strong practical skills, business sense, and an aptitude for effective communication. Whether you’re a recent graduate, a data scientist transitioning into machine learning, or a seasoned developer pivoting your career, it’s essential to avoid common mistakes that may hinder your prospects. This blog post explores the pitfalls frequently encountered by machine learning job seekers, and offers actionable guidance on how to steer clear of them. If you’re looking for roles in this thriving sector, don’t forget to check out Machine Learning Jobs for the latest vacancies across the UK. In this article, we’ll break down these pitfalls to help you refine your approach in applications, interviews, and career development. By taking on board these insights, you can significantly enhance your employability, stand out from the competition, and secure a rewarding position in the world of machine learning.

Career Paths in Machine Learning: From Entry-Level Roles to Leadership and Beyond

Machine learning has rapidly transformed from an academic pursuit to a cornerstone of modern technology, fueling innovations in healthcare, finance, retail, cybersecurity, and virtually every industry imaginable. From predictive analytics and computer vision to deep learning models that power personalisation algorithms, machine learning (ML) is reshaping business strategies and creating new economic opportunities. As demand for ML expertise continues to outstrip supply, the UK has become a vibrant hub for machine learning research, entrepreneurship, and corporate adoption. Whether you’re just starting out or have experience in data science, software development, or adjacent fields, there has never been a better time to pursue a career in machine learning. In this article, we will explore: The growing importance of machine learning in the UK Entry-level roles that can kick-start your ML career The skills and qualifications you’ll need to succeed Mid-level and advanced positions, including leadership tracks Tips for job seekers on www.machinelearningjobs.co.uk By the end, you’ll have a clear view of how to build, grow, and lead in one of the most exciting fields in modern technology.