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

Apply Now

SCM Data Analyst - VR / 31379

TMM Recruitment
Aberdeen
5 days ago
Create job alert

This 12-month contract offers the opportunity to join a well-established offshore energy services contractor, supporting complex projects across subsea construction, field development, and energy transition initiatives. Sitting within the central Supply Chain function, the role focuses on extracting, analysing, and presenting procurement and logistics data to support global performance monitoring, sustainability reporting, and digital transformation. You’ll work closely with stakeholders across regions to improve data governance, contribute to ESG disclosures, and support the adoption of standardised procurement practices.


Key Responsibilities

  • Analysing procurement and logistics data from SAP and other SCM systems to support global reporting and performance insight.
  • Transforming raw data into clear, user-friendly formats and dashboards for business use.
  • Identifying trends and opportunities using data analytics and AI tools to improve operational effectiveness.
  • Developing and maintaining sustainability data dashboards, covering areas such as ethics, human rights, emissions, and environment.
  • Supporting the coordination and preparation of ESG disclosures for internal and external stakeholders.
  • Working with Finance to monitor global payment terms and help identify improvements in cash flow management.
  • Tracking productivity and performance indicators across regions and activities to support digitalisation and process improvement.
  • Monitoring compliance and process deviation metrics, ensuring adherence to SCM procedures.
  • Collaborating with the Data Governance team to ensure data quality, consistency, and alignment with internal standards.
  • Supporting the adoption of standardised codification practices across procurement and logistics.
  • Maintaining SCM catalogues in S4 Hana and guide users in correct codification of purchase orders.
  • Sharing insights from cost of loss and supplier performance data to support learning and continuous improvement across the business.

About You

  • Strong analytical and problem-solving skills, with a keen attention to detail.
  • Proven experience in business analysis, ideally within a procurement or digital project environment.
  • Confident working with large datasets, with proficiency in tools such as SAP and PowerBI.
  • Familiarity with ESG concepts, sustainability reporting, or compliance-related data is advantageous.
  • Able to present complex information clearly and effectively to a range of stakeholders.
  • Collaborative and proactive, with the ability to work across disciplines and international teams.
  • Experience supporting data governance, codification, or catalogue management is desirable.
  • A self-starter with initiative, capable of managing multiple priorities with minimal supervision.


#J-18808-Ljbffr

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.

Jobs

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 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.