Procurement Business Information & Reporting Analyst

Middleton
1 month ago
Applications closed

Related Jobs

View all jobs

Finance Business Partner - Supply Chain/Logistics background

Purchasing and Logistics Coordinator

Procurement Administrator

Global Mobility and Immigration Adviser

Mechanical Engineer

BOM Analyst x 4

Description

We have been retained by a Manufacturer who are looking for a Procurement Business Information & Reporting Analyst to join the team, based in Middleton.

Hybrid – 2 days a week in office.

Job Summary



The Procurement Analyst will play a crucial role in collecting, structuring, and transforming data into actionable insights within the Procurement department.

*

This position requires a background in data analysis and the ability to transform complex data into actionable insights that support strategic decision-making.

*

The ideal candidate will have extensive experience in Excel, a strong analytical mindset, and the ability to work closely with cross-functional teams to meet business objectives.

Key Responsibilities

Procurement Performance Tracking

*

Manage overall process for monitoring project performance, aligning with wider finance/operation teams

*

Ensure project tracker is correctly updated to accurately reflect status and any variances to Budget are fully explained

*

Monthly tracking supplier rebates for bulk chemicals, working closely with finance and procurement to ensure accurate reporting and timely resolution of issues

Data Analysis

*

Analyse procurement data to identify trends, cost savings and efficiency improvements

*

Proactively track risks and opportunities

*

Monitor key commodities, providing regular market insights to procurement and wider business for customer pricing

*

Support category managers through analytical assessment of supplier tenders

*

Adhoc analysis as required to support team objectives

Reporting

*

Preparation of monthly management reports

*

Manage KPI tracking and reporting including working capital and cost reduction projects

*

Manage interactive dashboards in Business Information (BI) systems to optimise reporting

*

Coordinate with the procurement team budget and forecast data inputs

Data Governance and Quality

*

Create robust process for procurement data governance and quality

*

Drive solutions to improve data quality issues around spend categorisation and payment terms, ensuring alignment with category managers and supplier agreements

*

Actively work with wider business to improve master data and master data processes

*

Coordinate the recurring procurement data governance tasks with the business process owners

*

Collaborate with IT and data teams to integrate various data sources to develop BI solutions.

*

Ensure compliance to procurement policies and procedures

Knowledge/Experience

*

Experience of dealing with wide range of stakeholders, internal and external.

*

High proficiency in excel, including advance formulas and macros.

*

Experience in Business Intelligence tools.

*

Ability to work independently and as part of a team in a fast-paced environment.

Salary & Benefits

*

£40,000 - £45,000 Per Annum

*

Hybrid – 2 Days a week in the office, 3 days a week from home

*

25 Days Annual Leave + Bank Holidays

*

Pension via salary sacrifice up to 7% matching contribution

*

Life Assurance, Employee benefits portal

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.

Jobs

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.