1,132 Warehouse Analyst jobs in the United Kingdom

• Analyze warehouse operational data to identify inefficiencies and areas for improvement.
• Develop and implement strategies to optimize inventory management, order fulfillment, and space utilization.
• Create and maintain performance dashboards and reports for key stakeholders.
• Collaborate with site operations and IT teams to implement system enhancements and process changes.
• Identify opportunities for cost reduction and efficiency gains within the warehousing network.
• Support the development of operational budgets and forecasts.
• Conduct root cause analysis for operational issues and propose corrective actions.
• Stay abreast of industry trends and best practices in warehouse management and supply chain optimization.
• Facilitate knowledge sharing and best practice adoption across different warehouse sites.
• Manage and improve key performance indicators (KPIs) related to warehouse operations.
• Ensure the effective utilization of Warehouse Management Systems (WMS).

• Bachelor's degree in Supply Chain Management, Logistics, Industrial Engineering, Business Analytics, or a related field.
• Minimum of 5 years of experience in warehouse operations, logistics, or supply chain analysis.
• Proven experience with data analysis tools and techniques (e.g., Excel, SQL, Power BI, Tableau).
• Proficiency with Warehouse Management Systems (WMS) and Enterprise Resource Planning (ERP) systems.
• Strong understanding of supply chain principles, warehouse processes, and logistics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently, manage multiple priorities, and meet deadlines in a remote setting.
• Strong written and verbal communication skills, with the ability to present complex information clearly.
• Experience with Lean Six Sigma or other continuous improvement methodologies is a plus.

• Analyse, configure, and optimise Warehouse Management Systems (WMS).
• Identify and implement system enhancements to improve operational efficiency.
• Troubleshoot and resolve WMS-related issues for operations teams.
• Translate business requirements into technical specifications.
• Manage system testing and user acceptance testing (UAT).
• Develop and maintain system documentation and training materials.
• Collaborate with IT, operations, and vendor teams.
• Monitor system performance and data integrity.
• Support the implementation of new WMS modules or functionalities.
• Ensure effective integration of WMS with other supply chain systems.

• Bachelor's degree in IT, Computer Science, Logistics, or related field.
• Proven experience as a WMS Analyst or similar systems role.
• Expertise in major WMS platforms (e.g., Manhattan, Blue Yonder, Oracle).
• Strong SQL skills for data analysis.
• Experience with process mapping and requirements gathering.
• Excellent analytical and problem-solving skills.
• Strong communication and stakeholder management abilities.
• Ability to work effectively in a hybrid environment.

• Responsible for data analysis, entry and Validation related activities across the Pirbright manufacturing facility, to enable the large scale production of FMD and BTV antigen and finished product in a timely and cost effective manner.
• Analyse production data to identify trends, deviations, and performance metrics.
• Assist in the execution of cleaning validation protocols in line with GMP requirements.
• Bring in SQL / Power BI approaches to improve the site approach to data.
• Support sampling, documentation, and coordination of validation activities.

• GMP experience is essential
• Have a scientific or engineering discipline degree (e.g., Biochemistry, Biotechnology, Chemical Engineering, Pharmaceutical Sciences).
• Understanding of cleaning validation principles and documentation practices.
• Experience with data handling and analytics
• Knowledge of HSE, bio-safety standards, GMP regulations as well as main tools and principles of operational excellence

• Responsible for data analysis, entry and Validation related activities across the Pirbright manufacturing facility, to enable the large scale production of FMD and BTV antigen and finished product in a timely and cost effective manner.
• Analyse production data to identify trends, deviations, and performance metrics.
• Assist in the execution of cleaning validation protocols in line with GMP requirements.
• Bring in SQL / Power BI approaches to improve the site approach to data.
• Support sampling, documentation, and coordination of validation activities.

• GMP experience is essential
• Have a scientific or engineering discipline degree (e.g., Biochemistry, Biotechnology, Chemical Engineering, Pharmaceutical Sciences).
• Understanding of cleaning validation principles and documentation practices.
• Experience with data handling and analytics
• Knowledge of HSE, bio-safety standards, GMP regulations as well as main tools and principles of operational excellence

• Assist in collecting, cleaning, and processing large datasets.
• Perform data analysis to identify trends, patterns, and insights.
• Develop data visualisations and reports to communicate findings.
• Support senior analysts in various data-related projects.
• Learn and apply statistical methods and analytical techniques.
• Gain proficiency in data analysis tools and software (SQL, Python, R).
• Collaborate with team members in a remote setting.
• Contribute to documentation and knowledge sharing.
• Participate actively in training sessions and workshops.
• Help to ensure data accuracy and integrity.

• Recent graduate with a degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics, Engineering).
• Strong analytical and problem-solving abilities.
• Aptitude for working with numbers and data.
• Basic understanding of statistical concepts is beneficial.
• Familiarity with programming languages like Python or R is a plus.
• Excellent written and verbal communication skills.
• Ability to work independently and manage time effectively.
• Strong attention to detail.
• Enthusiasm for learning and developing data analysis skills.
• Access to a reliable internet connection for remote work.

• Leading forensic accounting investigations involving large and complex datasets.
• Developing and applying data analytics techniques to detect fraud, money laundering, and other financial irregularities.
• Utilizing forensic accounting software and data visualization tools (e.g., ACL, IDEA, Tableau) for analysis and reporting.
• Performing detailed financial analysis to quantify economic damages and support litigation.
• Extracting, transforming, and analyzing data from various sources, including accounting systems and databases.
• Preparing comprehensive forensic reports and executive summaries.
• Serving as an expert witness in legal proceedings, presenting findings clearly and effectively.
• Collaborating with legal counsel and clients to understand investigative objectives and requirements.
• Mentoring and guiding junior forensic accountants and analysts.
• Staying current with emerging trends in data analytics, cybersecurity, and forensic accounting.

• Lead the design, development, implementation, and maintenance of scalable bioinformatics pipelines for next-generation sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
• Analyse and interpret complex genomic and transcriptomic datasets to identify genetic variants, gene expression patterns, and other biologically relevant insights.
• Collaborate closely with biologists, geneticists, clinicians, and computational scientists to define project goals and analytical strategies.
• Develop and apply statistical and machine learning methods for genomic data analysis.
• Ensure the quality, reproducibility, and documentation of all bioinformatics analyses and workflows.
• Stay abreast of the latest advancements in bioinformatics, genomics, and related computational fields.
• Mentor and guide junior bioinformaticians and data analysts.
• Contribute to research proposals, grant applications, and publications.
• Manage data storage, processing, and computational resources effectively.
• Present findings to scientific teams and external collaborators.

• PhD in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
• Minimum of 6 years of post-doctoral or industry experience in bioinformatics, with a strong focus on genomics data analysis.
• Extensive experience with NGS data processing and analysis pipelines (e.g., BWA, GATK, STAR, Salmon).
• Proficiency in programming languages such as Python, R, and shell scripting.
• Strong knowledge of statistical methods and machine learning techniques applicable to genomics.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Singularity) is highly desirable.
• Proven ability to manage complex projects and lead a small team.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with a track record of publications.
• Ability to work independently and collaboratively in a remote research environment.

At Tata Technologies we make product development dreams a reality by designing, engineering and validating the products of tomorrow for the worlds leading manufacturers. Due to our continued growth we are now recruiting for a Data Analysis Engineer SOX Algorithm to be based at our customers site in Gaydon .

Our Embedded Systems Solutions department (ESS) encompasses all activities outlined under th.

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