Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Supply Chain Analyst

Dudley
1 month ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Data Analyst - Supply Chain

Data Analyst - Supplychain

SCM Data Analyst - VR/31379

Carbon Data Analyst

Commercial Data Analyst - Pricing & Promo

Our client has created a brand new position for a data analyst within the supply chain sector.

THE ROLE:

  • To analyse data to anticipate future needs and optimise costs and storage space. Develop inventory control models and parameters. Report to upper management on stock issues and performance. Work with category managers to forecast supply and demand to prevent overstocking and shortages. To identify changes in trend and implement the best solution. Analyse minimum and maximum stock levels to ensure the correct amount of finished products, raw materials and packaging are being held at the correct site at all times.

  • Liaise with category managers and the commercial team to ensure all possible upcoming changes in trend are identified and any necessary action is taken.

  • Help in the maintenance of minimum and maximum stock level calculations to ensure that the company does not run out of key products, while simultaneously ensuring that we do not hold too much stock.

  • Liaise with logistics to maintain a strong flow of information to maximise space.

  • Compiling of any data required by your line manager.

  • Extract data from D365, Power BI and any other available system to ensure inventory levels are correct and changes are proactively managed.

  • Communicate to all appropriate departments and levels of the business any issues or upcoming issues in a timely manner.

  • To be fully aware of company policies and procedures and to work within the guidelines as stated.

  • To be aware of and maintain Company Health and Safety rules at all times. Ensure that sub-ordinates have received the relevant health and safety training required for their role.

  • To actively support the formal Integrated Management System by ensuring all defined policies, processes and procedures and work instructions are accurately applied.

    THE IDEAL CANDIDATE:

  • You must have a full clean driving licence.

  • You will have extensive experience using D365 & PowerBI.

  • Have excellent analytical skills

  • Able to create & communicate trends across the business.

  • Have excellent experience in creating reports.

  • Be able to travel to assist in implementation of working practices.

  • Have excellent communication and IT Skills.

    In return our client is offering an excellent progressive career opportunity to grow with this role across the business, excellent salary and bonus scheme and other benefits

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.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly become one of the most influential disciplines of the digital age. Once a niche combination of statistics and computing, it is now central to how organisations innovate, compete, and grow. From healthcare and finance to retail, logistics, and government, data science is reshaping decision-making across every sector. In the UK, data science has grown into a core career pathway. Salaries are competitive, demand continues to rise, and roles now extend far beyond analytics into artificial intelligence, machine learning, and predictive modelling. Yet as technologies evolve, many of the most important data science careers of the future don’t exist today. This article explores why entirely new roles will emerge, the kinds of careers that may appear, how existing jobs will evolve, why the UK is well placed to lead, and what professionals can do to prepare for this transformation.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.