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

Apply Now

BoM and Master Data Analyst

Swift Group Limited
Hull
3 days ago
Create job alert
BoM & Master Data Analyst

We are seeking a dedicated and detail-oriented Bill of Materials and Master Data Analyst to join our team and support the successful delivery of our ERP implementation project.


This role will play a pivotal part in shaping and maintaining the integrity of product data across engineering and production functions. This role is not only operational but also consultative, bringing best practice insights to the creation, governance, and evolution of Bills of Materials (BoMs) and master data structures.


The successful candidate will be a key contributor to our digital transformation journey, ensuring that data foundations are robust, scalable, and aligned with business goals.


Key Responsibilities

  • Advise on optimal BoM structures and master data governance aligned with ERP capabilities and manufacturing / assembly industry standards.
  • Collaborate with cross-functional teams to define data ownership, workflows, and validation protocols.
  • Support the development of scalable data models that accommodate future growth and product complexity.
  • Create, maintain, and validate BoMs and master data across legacy and ERP platforms.
  • Manage engineering change documentation and support ECR processes.
  • Assist in data migration activities, ensuring accuracy and completeness during transition to ERP and PLM systems.
  • Conduct audits and quality checks to ensure compliance with internal standards and external regulations.
  • Partner with Engineering, Supply Chain, Production, and IT to resolve data-related issues and improve workflows.
  • Provide training and guidance to internal teams on data processes, tools, and standards.
  • Maintain clear documentation of product data, changes, and governance processes.
  • Provide basic training or guidance on project tools and processes to team members.
  • Adhere to Swift Group policies and procedures and be an advocate of our EPIC Core values.

Requirements
Required Skills and Qualifications

  • Strong organizational and time management skills.
  • Excellent verbal and written communication abilities.
  • Attention to detail and accuracy in documentation and data handling.
  • Adaptability to a fast‑paced and changing environment.
  • Problem‑solving skills and the ability to identify and address potential issues promptly.

Knowledge And Experience

  • Degree in Engineering, Manufacturing, Business Management, or related field preferred.
  • Previous involvement in ERP/PLM implementations and/or data migration projects.
  • Hands‑on experience with legacy systems and transitioning to new platforms.
  • Background in manufacturing or engineering environments preferred.

Technical Skills

  • Proven experience in BoM creation, Master Data management, and ERP/PLM systems (e.g., Dynamics 365, SAP, Oracle).
  • Strong understanding of engineering change processes and documentation standards.
  • Experience in training or onboarding teams to new systems and processes.
  • Excellent attention to detail and data accuracy.
  • Strong communication and collaboration skills across departments.
  • Ability to work independently and manage multiple priorities.
  • Familiarity with Microsoft Office tools; experience with DevOps, Jira, or similar tools is a plus.

If you are a proactive and results‑driven professional with a passion for problem solving and an advocate of continuous improvement, we encourage you to apply. Join our team and contribute to our mission of delivering exceptional products and exceeding customer expectations.


#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.

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.