2,020 Supply Chain Analysis jobs in the United Kingdom

• Analyze inventory levels, sales data, and demand forecasts to optimize stock.
• Develop and implement inventory control policies and procedures.
• Manage safety stock, reorder points, and economic order quantities.
• Identify and manage slow-moving, obsolete, or excess inventory.
• Collaborate with merchandising, logistics, and e-commerce teams to ensure stock availability.
• Monitor inventory accuracy and implement reconciliation processes.
• Evaluate and improve inventory management systems and technologies.
• Develop and present reports on inventory performance and key metrics.

• Bachelor's degree in Supply Chain Management, Business Administration, Logistics, or a related field.
• Minimum of 5 years of experience in inventory management, supply chain, or retail operations.
• Proficiency in inventory management software, ERP systems (e.g., SAP, Oracle), and WMS.
• Strong analytical and quantitative skills with experience in forecasting and data analysis.
• Excellent problem-solving abilities and attention to detail.
• Effective communication and interpersonal skills, with the ability to collaborate across departments remotely.
• Demonstrated ability to manage projects and drive process improvements.

• Supervising and coordinating the activities of warehouse staff, including assigning tasks, monitoring performance, and providing training and development.
• Ensuring accurate and timely receipt, put-away, picking, packing, and dispatch of goods.
• Implementing and maintaining efficient inventory management procedures to minimize stock discrepancies and optimize stock rotation (e.g., FIFO/LIFO).
• Conducting regular stock takes and cycle counts, investigating and resolving any variances.
• Operating and maintaining warehouse equipment, such as forklifts and pallet trucks, safely and efficiently.
• Ensuring adherence to all health, safety, and environmental regulations within the warehouse.
• Identifying opportunities for process improvement to enhance productivity and reduce operational costs.
• Liaising with other departments, such as procurement and sales, to ensure smooth supply chain operations.
• Maintaining clean and organized warehouse space, ensuring compliance with 5S principles.
• Reporting on key performance indicators (KPIs) related to warehouse operations, such as order fulfillment rates, accuracy, and on-time delivery.
• Managing the efficient use of warehouse space and resources.

• Develop and implement effective inventory management and control strategies.
• Optimise stock levels to meet demand while minimising holding costs and stockouts.
• Manage and refine warehouse processes remotely, ensuring efficiency and accuracy.
• Utilise WMS and ERP systems for inventory tracking, order management, and reporting.
• Conduct regular cycle counts, physical inventories, and audits to ensure data accuracy.
• Identify and implement process improvements to enhance warehouse efficiency and inventory accuracy.
• Collaborate closely with procurement, sales, and logistics teams.
• Develop and enforce inventory control policies and procedures.
• Analyse inventory data to identify trends and make recommendations.
• Provide remote oversight and support for warehouse operations.

DATA ANALYST TRAINER - (BOOTCAMPS&APPRENTICESHIPS) - £45,000 - FULLY REMOTE (MUST BE UK BASED)

SLS Recruitment are working with a leading IT & Digital Training provider and they have a new opportunity for a Data Analyst Trainer to work across their skills bootcamp and apprenticeship provision. This is a fully remote role and will offer a salary of up to £45,000. This opportunity would suit someone who has experience of delivering training in the technology below.

To be considered for this opportunity you will have the following:

• MUST HAVE DELIVERED TRAINING PREVIOUSLY
• MUST HAVE A TEACHING OR ASSESSING QUALIFICATION
• Knowledge of Excel, Access, R, SQL, Power BI and Azure fundamentals.
• Experience of delivering training in Data Analysis a minimum of 1 year.
• A relevant qualification in Data Analysis, ideally at degree level.

As a Data Analyst Trainer you will work with Curriculum, IQA and Service Delivery Teams. You will adapt different ways of working and be able to establish individual learning needs and introduce new ways of working.

For further information on this opportunity to work with a provider who continues to grow, please apply now.

• Analyze and interpret geological and geophysical data.
• Develop and refine 3D geological models.
• Conduct resource estimation and geological risk assessments.
• Prepare comprehensive technical reports and presentations.
• Collaborate with exploration and mining engineering teams.
• Utilize advanced geological software for data processing and visualization.
• Advise on exploration strategies and target definition.
• Ensure data quality and integrity throughout projects.
• Stay updated on the latest geological techniques and technologies.
• Contribute to the company's overall resource management strategy.

• MSc or PhD in Geology, Geophysics, or a related field.
• Significant experience in geological data analysis and modelling.
• Proficiency in geological software packages (e.g., Leapfrog, ArcGIS, Vulcan).
• Strong statistical analysis and quantitative skills.
• Experience in mineral resource estimation.
• Excellent written and verbal communication skills.
• Ability to work effectively in a hybrid environment.
• Strong problem-solving and critical thinking abilities.
• Familiarity with exploration and mining processes.

• Assist in collecting, cleaning, and organising large datasets from various sources.
• Perform preliminary data analysis using statistical methods and software tools.
• Support senior analysts in generating reports, dashboards, and visualisations to communicate findings.
• Learn and apply data mining techniques to identify trends, patterns, and insights.
• Contribute to the development of data models and analytical frameworks.
• Collaborate with team members on projects, participating in brainstorming sessions and problem-solving activities.
• Assist in documenting data sources, methodologies, and analytical processes.
• Gain exposure to various data analysis tools and technologies (e.g., SQL, Python, R, Tableau).
• Participate in training sessions and workshops to enhance technical and analytical skills.
• Provide support for ad-hoc data requests and analysis as needed.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, or a related discipline.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with or willingness to learn data manipulation and analysis tools (e.g., Excel, SQL).
• Excellent communication and interpersonal skills.
• Ability to work both independently and as part of a team.
• Proactive attitude and eagerness to learn and develop new skills.
• Eligibility to work in the UK.
• Comfortable working in a hybrid work environment.

• Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop reports and dashboards using data visualization tools to present findings clearly and concisely.
• Support the team in designing and implementing data quality checks and validation processes.
• Gain exposure to statistical modeling and predictive analytics concepts.
• Learn to use programming languages such as Python or R for data manipulation and analysis.
• Understand database concepts and SQL for data extraction.
• Collaborate with different departments to understand their data needs and provide analytical support.
• Contribute to the continuous improvement of data processes and methodologies.
• Undertake a structured learning program leading to a recognised qualification in Data Analysis.

• A strong interest in data, analytics, and technology.
• A minimum of 5 GCSEs at Grade C/4 or above, including Maths and English, or equivalent.
• Excellent problem-solving abilities and a keen eye for detail.
• Good communication and teamwork skills.
• A proactive attitude and a willingness to learn.
• Basic understanding of Excel or similar spreadsheet software is advantageous.

• Analyze vast datasets from various sources, including soil sensors, weather stations, satellite imagery, and farm management software.
• Develop predictive models for crop growth, disease outbreaks, and pest infestations.
• Provide data-driven recommendations to farmers and agricultural businesses on planting schedules, fertilization, irrigation, and pest/disease management strategies.
• Interpret complex agricultural data and translate it into clear, concise, and actionable reports and presentations for diverse audiences.
• Collaborate with the R&D team to improve data collection methodologies and analytical tools.
• Stay current with advancements in agricultural science, data analytics, and precision farming technologies.
• Contribute to the development of best practices for sustainable agriculture through data analysis.
• Assist in the design and execution of field trials to validate analytical models and recommendations.
• Troubleshoot data quality issues and implement data cleansing procedures.
• Communicate effectively with clients and internal teams through virtual channels.

• A Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a closely related field.
• A strong background in data analysis, statistical modelling, and the use of agricultural data platforms/software.
• Proficiency in data analysis tools such as R, Python, or similar programming languages.
• Experience with GIS software and remote sensing data interpretation.
• Knowledge of various crop types and agricultural systems.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to convey technical information effectively.
• Proven ability to work independently, manage projects, and deliver results in a remote setting.
• Experience in a client-facing role or providing advisory services is a plus.
• A passion for sustainable agriculture and technological innovation.