Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Procurement Data Analyst

SD Worx
Warrington
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Lead Data engineer


SD Worx is a leading European provider of Payroll & HR services with global reach. We have offices in Europe and an office in Mauritius. Our goal? We bring people solutions to life, so companies of any size can turn Human Resources into a source of value for the business and the people in it.

Our people solutions span the entire employee journey, from getting people paid to attracting, rewarding, and developing talent. Are you ready to join us?

What do we have to offer?

  • An attractive salary based on your experience and achievement. And the freedom to compose your personal benefit package.
  • A dynamic environment: flexible working hours and working from home
  • Learning opportunities: through an individual development plan and professional training
  • Career growth: whether you want to become more of an expert in your field our you want to expand your knowledge more horizontally, there is always room to grow within SD Worx!

About the role:

The corporate procurement team is a new, growing function within SD Worx at an international corporate level. We are really excited to be expanding our function further.

 You will have a background in indirect procurement operational activity and report into the Procurement Enablement Manager. The procurement enablement team will offer a strong backbone to our category management team, to provide improvements to process, data, governance, reporting and analytics.

We are the beginning of a transformation journey in procurement, and we will be implementing new technology solutions over the next 3 years. Your role will support the short- and long-term objectives whilst this program is deployed.

You will support the realisation of our savings and value add activity to drive deeper engagement with the procurement team and show our value contribution as well as support the achievement of group compliance targets in alignment with policies, strategies and processes.

What do you have to offer?

  • Degree with emphasis on areas of Business, Economics, Finance, Procurement, or comparable professional education.
  • Strong experience in data analysis, ideally procurement data analysis
  • Recent experience of working with (and implementation of) a procurement end to end (source to pay) platform, such as SAP, Coupa, or other is beneficial but not essential
  • Understanding of ERP systems tool / experience in building PowerBI dashboard
  • Ability to translate data into information into actions / reporting
  • Experience working within fast paced organisations and developing visualisations/business insights of complex and disparate information.
  • Strong communication and teamwork skills
  • Exceptional excel skills
  • Ability to work independently and manage multiple tasks in a fast-paced environment.

Which tasks can you expect?

  • Supporting implementation of procurement technology applications, including Source to Pay.
  • Having proven ability to extract, analyse, manipulate and present procurement data - highlighting risks and reporting, draw insights/stories, this could be from multiple systems.
  • Presentation of data to procurement team and wider stakeholder network (including non-technical owners)
  • Responsible to improve processes and data management within the enablement team
  • Supporting the category management team with their category plans, by inputting data analytics
  • Improving (together with procurement enablement team) procurement processes, policies
  • Identifying cost saving opportunities towards the category management team
  • Ensuring best practice for ongoing compliance initiatives including ESG
  • Advise on system improvement by means of configuration or process improvements, informing the most efficient and effective use of Procurement systems.
  • Provide systems support and training on the Procurement and other appropriate software & systems .
  • Ensure data quality, accuracy, and consistency across all reports and analytics.

From many places, we work as one, moving from better to best together.

SD Worx lives diversity in the workplace. Diversity provides inspiration and innovation in our company. We particularly welcome applications from qualified talent, regardless of origin, nationality, gender, skin colour, ethnic and social background, religion, age, disability, sexual orientation and stage of life.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.