BOM Analyst x 4

Oxford
5 days ago
Create job alert

6-month Contract
Rate: Negotiable
Department: Engineering / Supply Chain / Manufacturing
Job Description:
We are seeking detail-oriented and analytical Bill of Material (BOM) Analysts to join our team. This role is responsible for creating, maintaining, and auditing accurate BOMs to support product development, manufacturing, procurement, and inventory management. The BOM Analyst serves as a critical link between engineering, operations, and supply chain teams to ensure data integrity and streamline product lifecycle processes.
Key Responsibilities:

  • Create, update, and maintain accurate BOMs for new and existing products in the ERP or PLM system.
  • Collaborate with Engineering, Manufacturing, Procurement, and Quality teams to ensure BOMs reflect current product design and material requirements.
  • Interpret engineering drawings, specifications, and change orders to ensure correct part information and structure.
  • Manage Engineering Change Releases (ECRs) and document control processes related to BOM changes.
  • Audit BOMs regularly to ensure data accuracy and consistency across systems.
  • Support cost analysis, sourcing, and inventory planning by providing detailed material breakdowns and component usage.
  • Identify and resolve discrepancies in BOM data and recommend process improvements.
  • Assist in the transition of products from development to production with accurate BOM setup and documentation.
  • Maintain documentation and version control for BOMs and associated parts.
  • Ensure compliance with company policies, quality standards, and industry regulations.
    Qualifications:
  • Strong experience working with BOMs, preferably in a manufacturing or engineering environment.
  • Proficiency with ERP and PLM systems (e.g., Siemens, Team Centre, Agile).
  • Strong analytical skills and attention to detail.
  • Ability to read and interpret engineering drawings, CAD and technical documents.
  • Excellent communication and organizational skills.
  • Knowledge of product lifecycle processes and configuration management is a plus.
  • Proficient in Microsoft Excel and other Microsoft Office tools.
    Preferred Skills:
  • Bachelor’s degree in engineering, Supply Chain Management, Business Administration, or a related field.
  • Experience in a highly regulated industry (e.g., aerospace, medical devices, automotive) is advantageous.
  • Familiarity with lean manufacturing principles or Six Sigma methodologies.
  • Understanding of inventory control and supply chain concepts.
    Join us and play a key role in ensuring the backbone of our product data is solid, accurate, and efficient.
    If you are interested in hearing more about the opportunities, please apply now, by sending your CV to Sharon Benson
    Eligibility: Sponsorship is not offered, and you must be eligible to work in the UK

Related Jobs

View all jobs

Cost Accountant

Senior Mechanical Design Engineer

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.

UK Visa & Work Permits Explained: Your Essential Guide for International Data Science Talent

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.

Top UK Data Science Labs and Institutes: Where Innovation Meets Opportunity

Data has become the linchpin of modern innovation. From forecasting consumer behaviour to enabling cutting-edge health research, data science underpins breakthroughs across nearly every industry. In the United Kingdom, the data science landscape is particularly robust, fuelled by a blend of academic excellence, government support, and vibrant private-sector collaborations. For jobseekers or career-changers keen to explore opportunities in this exciting field, DataScience-Jobs.co.uk offers a gateway to the latest openings, news, and resources. In this in-depth article, we’ll tour the top UK data science labs and institutes, highlight the unique research and career paths available, and outline how you can position yourself to thrive in a field that’s as dynamic as it is rewarding.

Shadowing and Mentorship in Data Science: Gaining Experience Before Your First Full-Time Role

How to Find Mentors, Build Industry Connections, and Hone the Skills Needed in a Fast-Evolving Field Introduction Over the past decade, data science has grown from a niche academic discipline to a pivotal function driving decision-making in businesses of all sizes. With an array of applications—from predictive analytics and natural language processing to recommender systems and computer vision—data science offers an enticing career path for analytically minded professionals. However, as the field expands, so too does the level of competition. Employers seek not just theoretical knowledge but also real-world experience and robust problem-solving skills. That’s where shadowing and mentorship become game-changers for early-career data scientists. These hands-on learning opportunities provide an unmatched window into the workflows, tools, and soft skills you’ll need to excel in a professional environment. Whether you’re still completing your studies, fresh out of a bootcamp, or transitioning from another career, working closely with experienced data scientists can significantly shorten your learning curve and help you stand out when applying for your first full-time position. This article explores how to find mentors who align with your goals, the best ways to engage in shadowing opportunities, and practical tips for showcasing your growth as a mentee. From clarifying the nature of data science roles to leveraging online networks, you’ll discover how to position yourself as a candidate poised to solve complex challenges and drive data-driven innovation.