Procurement Data Analyst

SD Worx
Warrington
2 months ago
Applications closed

Related Jobs

View all jobs

Bureau Data Analyst

Bureau Data Analyst

Data & Insights Analyst

Data Analyst

Estimator

Data Scientist


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.

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.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.