2,092 Warehouse Analyst jobs in the United Kingdom
Warehouse Logistics Analyst
MK9 2HN Milton Keynes, South East
£30000 Annually
WhatJobs
Posted 7 days ago
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Job Description
Our client is seeking a detail-oriented and analytical Warehouse Logistics Analyst to join their expanding team in Milton Keynes, Buckinghamshire, UK . This role is crucial for optimizing the efficiency and effectiveness of warehouse operations and the wider supply chain. You will be responsible for collecting, analyzing, and interpreting data related to warehouse activities, inventory management, and transportation to identify trends, bottlenecks, and areas for improvement. The ideal candidate will possess strong quantitative and problem-solving skills, with a proficiency in data analysis tools and methodologies. Key responsibilities include developing reports and dashboards to monitor key performance indicators (KPIs), such as order fulfillment rates, inventory accuracy, lead times, and costs. You will work closely with warehouse management and operations teams to implement process improvements, streamline workflows, and reduce operational expenses. Experience with warehouse management systems (WMS) and an understanding of supply chain principles are highly beneficial. This role involves collaborating with internal stakeholders to understand their needs and provide data-driven insights to support decision-making. Our client is committed to operational excellence and is looking for an individual who can contribute to continuous improvement initiatives. The ability to translate complex data into clear, actionable recommendations for operational enhancements is a key requirement. You will play a vital role in ensuring the smooth flow of goods and information throughout the logistics network. This is an excellent opportunity for a motivated analyst to gain valuable experience in a dynamic logistics environment. Your insights will directly impact the efficiency and cost-effectiveness of our supply chain operations.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Collect, analyze, and interpret data related to warehouse and logistics operations.
- Develop and maintain reports and dashboards for key performance indicators (KPIs).
- Identify trends, inefficiencies, and areas for improvement in warehouse processes.
- Collaborate with warehouse management to implement process optimization initiatives.
- Assist in forecasting inventory needs and managing stock levels.
- Monitor and analyze transportation costs and efficiency.
- Support the implementation and utilization of Warehouse Management Systems (WMS).
- Provide data-driven recommendations to improve operational efficiency and reduce costs.
- Assist in developing business cases for operational improvements.
- Prepare ad-hoc reports and analysis as required by management.
Qualifications:
- Bachelor's degree in Supply Chain Management, Logistics, Business Analytics, Mathematics, or a related field.
- Minimum of 3 years of experience in a logistics, warehouse operations, or data analysis role.
- Proficiency in data analysis tools such as Excel (advanced), SQL, and data visualization software (e.g., Tableau, Power BI).
- Strong understanding of warehouse operations and supply chain principles.
- Experience with Warehouse Management Systems (WMS) is a plus.
- Excellent analytical, quantitative, and problem-solving skills.
- Strong communication and interpersonal skills, with the ability to present data clearly.
- Ability to work independently and as part of a team.
- Attention to detail and commitment to accuracy.
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0
Warehouse Systems Analyst
E1 6AN London, London
£45000 Annually
WhatJobs
Posted 21 days ago
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Job Description
Our client, a prominent force in the e-commerce and retail logistics sector, is seeking a dedicated and analytical Warehouse Systems Analyst to join their operations team in London, England, UK . This role is crucial for the continuous improvement and efficient functioning of our client's warehouse management systems (WMS) and associated technologies. You will be responsible for analyzing system performance, identifying areas for enhancement, and implementing solutions to optimize warehouse operations, inventory accuracy, and order fulfillment processes. This involves working closely with warehouse staff, IT support, and operational managers to troubleshoot system issues, develop new functionalities, and ensure that the WMS effectively supports business objectives. The ideal candidate will possess a strong understanding of WMS functionalities, data analysis techniques, and the ability to translate business requirements into technical specifications. Experience with warehouse automation technologies and integration projects is highly desirable. This is an excellent opportunity for an individual with a keen eye for detail and a passion for leveraging technology to drive operational excellence within a fast-paced logistics environment. You will be involved in various projects aimed at improving efficiency, reducing errors, and enhancing the overall customer experience through robust system support. Responsibilities include configuring WMS parameters, generating performance reports, documenting system processes, and providing training to end-users. You will also play a key role in the evaluation and implementation of system upgrades and new software solutions. Proactive problem-solving and effective communication are essential for bridging the gap between operational needs and technical capabilities. We are looking for someone who can identify trends, propose data-driven solutions, and ensure the seamless operation of critical warehouse systems.
Key Responsibilities:
Key Responsibilities:
- Analyze warehouse management system (WMS) data and performance metrics.
- Identify opportunities for system optimization and process improvements.
- Troubleshoot WMS issues and collaborate with IT for resolution.
- Configure WMS settings and parameters to align with operational needs.
- Develop and generate regular reports on warehouse efficiency and inventory accuracy.
- Document system processes, workflows, and user guides.
- Assist in the testing and implementation of WMS upgrades and new modules.
- Train end-users on WMS functionalities and best practices.
- Liaise between operational teams and IT to ensure effective system utilization.
- Support the integration of WMS with other supply chain systems and technologies.
- Proven experience as a Warehouse Systems Analyst, WMS Administrator, or similar role.
- In-depth knowledge of Warehouse Management Systems (e.g., Manhattan, HighJump, Blue Yonder).
- Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL).
- Understanding of warehouse operations and logistics principles.
- Excellent communication and interpersonal skills, with the ability to work effectively with diverse teams.
- Experience in documenting system processes and providing user training.
- Bachelor's degree in Information Systems, Logistics, Business Administration, or a related field (or equivalent experience).
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1
Remote Warehouse Data Analyst
CB2 9EL Cambridge, Eastern
£40000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a rapidly expanding e-commerce logistics firm, is actively seeking a talented and detail-oriented Remote Warehouse Data Analyst to join their team. This is a fully remote position, allowing you to contribute from anywhere within the UK. The successful candidate will play a crucial role in optimising warehouse efficiency and supply chain performance by analysing vast amounts of operational data, identifying trends, and providing actionable insights. You will work closely with warehouse management, operations teams, and IT to ensure data integrity, develop reporting mechanisms, and support strategic decision-making.
Your primary responsibility will be to collect, clean, and interpret data from various warehouse systems, including Warehouse Management Systems (WMS), inventory tracking software, and order fulfilment platforms. You will be expected to develop custom reports and dashboards to monitor key performance indicators (KPIs) such as inventory accuracy, order turnaround time, labour productivity, and shipping accuracy. Identifying bottlenecks and inefficiencies within the warehouse operations will be a key aspect of your role, requiring you to propose data-driven solutions and track their implementation and impact. You will also contribute to forecasting, capacity planning, and the development of predictive models to anticipate future operational needs. The ideal candidate will possess strong analytical and problem-solving skills, a solid understanding of statistical methods, and proficiency in data visualisation tools and database management. Experience with SQL, Python or R for data manipulation and analysis is highly desirable. This role demands excellent communication skills to effectively present complex data findings to both technical and non-technical stakeholders. If you are passionate about leveraging data to drive operational excellence in a dynamic logistics environment, this remote opportunity is perfect for you.
Key Responsibilities:
This remote role offers a fantastic opportunity to shape the operational future of a growing company. Apply now if you are a data-driven professional ready to make an impact.
Your primary responsibility will be to collect, clean, and interpret data from various warehouse systems, including Warehouse Management Systems (WMS), inventory tracking software, and order fulfilment platforms. You will be expected to develop custom reports and dashboards to monitor key performance indicators (KPIs) such as inventory accuracy, order turnaround time, labour productivity, and shipping accuracy. Identifying bottlenecks and inefficiencies within the warehouse operations will be a key aspect of your role, requiring you to propose data-driven solutions and track their implementation and impact. You will also contribute to forecasting, capacity planning, and the development of predictive models to anticipate future operational needs. The ideal candidate will possess strong analytical and problem-solving skills, a solid understanding of statistical methods, and proficiency in data visualisation tools and database management. Experience with SQL, Python or R for data manipulation and analysis is highly desirable. This role demands excellent communication skills to effectively present complex data findings to both technical and non-technical stakeholders. If you are passionate about leveraging data to drive operational excellence in a dynamic logistics environment, this remote opportunity is perfect for you.
Key Responsibilities:
- Collect, clean, and validate large datasets from warehouse and logistics systems.
- Develop and maintain reports and dashboards to track key performance indicators (KPIs).
- Analyse operational data to identify trends, inefficiencies, and areas for improvement.
- Provide data-driven recommendations to optimise warehouse processes, inventory management, and order fulfilment.
- Collaborate with operational teams to understand their data needs and provide analytical support.
- Assist in forecasting, capacity planning, and performance modelling.
- Ensure data accuracy and integrity across all reporting mechanisms.
- Communicate complex findings clearly and concisely to stakeholders at all levels.
- Stay updated on data analysis tools, techniques, and industry best practices.
- Contribute to the development and implementation of data-driven strategies for the logistics function.
This remote role offers a fantastic opportunity to shape the operational future of a growing company. Apply now if you are a data-driven professional ready to make an impact.
This advertiser has chosen not to accept applicants from your region.
2
Senior Warehouse Data Analyst
NE1 1AA Newcastle upon Tyne, North East
£40000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client, a leader in the logistics and supply chain sector, is looking for a highly analytical and data-driven Senior Warehouse Data Analyst to join their operations team based in Newcastle upon Tyne, Tyne and Wear, UK . This pivotal role will focus on extracting, analysing, and interpreting complex data sets from warehouse operations to identify trends, optimise processes, and improve overall efficiency and cost-effectiveness. You will work closely with warehouse managers, operations supervisors, and IT teams to develop reports, dashboards, and actionable insights that support strategic decision-making. The ideal candidate will have a strong background in data analysis, a deep understanding of warehouse operations, and proficiency in various data analysis tools and techniques. This position requires excellent communication skills to present findings and recommendations to stakeholders at all levels.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Collect, clean, and transform large volumes of data from warehouse management systems (WMS) and other operational platforms.
- Develop and maintain sophisticated reports, dashboards, and visualisations to track key performance indicators (KPIs) related to warehouse operations.
- Analyse operational data to identify trends, inefficiencies, bottlenecks, and areas for improvement in receiving, put-away, storage, picking, packing, and dispatch.
- Conduct in-depth analysis to support cost reduction initiatives, optimisation of labour allocation, and inventory management strategies.
- Collaborate with operational teams to understand their data needs and provide tailored analytical solutions.
- Develop predictive models and forecasts to anticipate operational challenges and opportunities.
- Present analytical findings and actionable recommendations clearly and concisely to management and operational staff.
- Support the implementation and refinement of warehouse management systems (WMS) and other operational technologies.
- Stay abreast of industry best practices and emerging technologies in data analytics and warehouse operations.
- Ensure data integrity and accuracy across all reports and analyses.
- Assist in the development and implementation of operational metrics and benchmarking.
- Provide ad-hoc analytical support for critical business questions and projects.
Qualifications:
- Bachelor's degree in Mathematics, Statistics, Computer Science, Logistics, Business Analytics, or a related quantitative field.
- Minimum of 5 years of experience in a data analysis role, with significant exposure to logistics, supply chain, or warehouse operations.
- Proven expertise in data manipulation and analysis using tools such as SQL, Excel (advanced), Python, or R.
- Experience with business intelligence and data visualisation tools (e.g., Tableau, Power BI, QlikView).
- Strong understanding of warehouse operations, key performance indicators, and common WMS functionalities.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proficiency in statistical analysis and modelling techniques.
- Strong communication and presentation skills, with the ability to convey complex data insights to non-technical audiences.
- Ability to work independently and manage multiple projects simultaneously.
- Familiarity with data warehousing concepts is a plus.
This advertiser has chosen not to accept applicants from your region.
3
Remote Warehouse Operations Analyst
DE1 2BW Derby, East Midlands
£40000 Annually
WhatJobs
Posted 14 days ago
Job Viewed
Job Description
Our client, a rapidly expanding logistics and warehousing company, is seeking a highly analytical and detail-oriented Remote Warehouse Operations Analyst. This is a fully remote position where you will play a crucial role in optimizing warehouse efficiency, productivity, and cost-effectiveness through data analysis and process improvement. You will work with large datasets to identify trends, bottlenecks, and opportunities for enhancement across various warehouse functions. The ideal candidate will possess strong analytical skills, a deep understanding of logistics operations, and the ability to work autonomously in a virtual setting.
Responsibilities:
Responsibilities:
- Analyze warehouse operational data, including inventory levels, throughput, order fulfillment times, and labor utilization.
- Develop and maintain performance dashboards and reports to track key performance indicators (KPIs).
- Identify inefficiencies and areas for improvement within warehouse processes (e.g., receiving, put-away, picking, packing, shipping).
- Propose and support the implementation of data-driven solutions to enhance operational efficiency and reduce costs.
- Collaborate with warehouse managers and site operations teams to understand on-the-ground challenges and gather data.
- Conduct root cause analysis for operational issues and provide actionable recommendations.
- Assist in the development and refinement of standard operating procedures (SOPs).
- Stay current with best practices and technologies in warehouse management and logistics analytics.
- Support the planning and execution of warehouse layout and workflow optimizations.
- Present findings and recommendations to senior management through clear and concise reports and presentations.
- Bachelor's degree in Supply Chain Management, Logistics, Business Analytics, Industrial Engineering, or a related field.
- Minimum of 3 years of experience in warehouse operations, logistics, or a related analytical role.
- Strong proficiency in data analysis tools such as Excel (advanced), SQL, and BI platforms (e.g., Tableau, Power BI).
- Demonstrated understanding of warehouse operations and supply chain principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present data effectively.
- Experience working in a remote or distributed team environment is a plus.
- Ability to work independently, manage multiple priorities, and meet deadlines.
- Familiarity with Warehouse Management Systems (WMS) is advantageous.
- Detail-oriented with a commitment to accuracy.
This advertiser has chosen not to accept applicants from your region.
4
Remote Senior Logistics and Warehouse Systems Analyst
MK9 2HP Milton Keynes, South East
£50000 Annually
WhatJobs
Posted 14 days ago
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Remote Senior Logistics and Warehouse Systems Analyst to join their globally distributed operations team. This is a fully remote position, focused on optimizing warehouse operations through the effective implementation and management of advanced Warehouse Management Systems (WMS) and related logistics technologies. You will play a key role in enhancing efficiency, accuracy, and throughput within our client's supply chain network. The ideal candidate will possess a deep understanding of WMS functionalities, logistics processes, and a proven track record in systems analysis and process improvement within warehouse environments.
Key Responsibilities:
Key Responsibilities:
- Analyze current warehouse and logistics processes to identify inefficiencies and areas for improvement.
- Lead the design, configuration, and implementation of Warehouse Management Systems (WMS) and other relevant software solutions.
- Develop detailed system requirements, functional specifications, and user acceptance testing (UAT) plans.
- Provide expert support and troubleshooting for WMS and other integrated logistics systems.
- Collaborate with cross-functional teams (Operations, IT, Supply Chain) to ensure seamless system integration and adoption.
- Develop and deliver training programs for end-users on WMS functionalities and best practices.
- Create process documentation, SOPs, and user guides related to warehouse systems.
- Monitor system performance, identify bottlenecks, and recommend solutions for optimization.
- Utilize data analytics to generate reports on warehouse performance metrics and system utilization.
- Stay abreast of new trends and technologies in WMS, automation, and supply chain logistics.
- Contribute to strategic initiatives aimed at improving overall supply chain efficiency and cost-effectiveness.
- Act as a subject matter expert for warehouse systems and processes.
- Manage vendor relationships related to WMS software and support.
- Bachelor's degree in Supply Chain Management, Logistics, Information Systems, Engineering, or a related field.
- Minimum of 6 years of experience in logistics, warehousing, and WMS implementation/analysis.
- In-depth knowledge of WMS functionalities (e.g., inventory control, order fulfillment, labor management, yard management).
- Proven experience in system analysis, requirements gathering, and process mapping.
- Familiarity with SQL and database management.
- Experience with data analysis tools (e.g., Excel, Power BI) and reporting.
- Strong understanding of warehouse operations, material flow, and supply chain principles.
- Excellent problem-solving, analytical, and critical thinking skills.
- Effective communication, presentation, and interpersonal skills for collaborating with diverse teams.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote setting.
- Experience with automation technologies (e.g., robotics, AS/RS) and their integration with WMS is a plus.
- Certifications in supply chain or WMS are highly desirable.
This advertiser has chosen not to accept applicants from your region.
5
Geologist - Remote Data Analysis
CV1 2DH Coventry, West Midlands
£50000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client, a leading entity in the mining sector, is seeking a highly skilled and experienced Geologist to join their team in Coventry, West Midlands, UK . This role is critical for analysing geological data from various mining sites, supporting exploration, resource estimation, and operational planning. The ideal candidate will have a strong background in geological interpretation, data analysis, and possess excellent technical proficiency. While this role is office-based, it offers significant opportunities for professional growth and impact within the industry.
Responsibilities:
Responsibilities:
- Interpret geological data from exploration drilling, geophysical surveys, and outcrop mapping.
- Develop and refine 3D geological models using specialized software.
- Assist in resource and reserve estimation, applying industry-standard methodologies.
- Evaluate geological risks and opportunities associated with mining projects.
- Collaborate with mine engineers, geophysicists, and other geoscientists to optimize mine planning and operations.
- Prepare geological reports, technical memorandums, and presentations for internal and external stakeholders.
- Conduct site visits for project oversight, data verification, and geological assessment (frequency to be determined).
- Ensure compliance with relevant geological standards and best practices.
- Stay updated on advancements in geological modelling software and techniques.
- Contribute to the development of exploration strategies and target generation.
- Review and validate geological data quality from various sources.
- Assist in the geological due diligence process for potential acquisitions or investments.
- Bachelor's or Master's degree in Geology, Earth Science, or a related discipline.
- Significant professional experience in exploration or mining geology.
- Proficiency in geological modelling software (e.g., Leapfrog, Micromine, Vulcan).
- Strong understanding of structural geology, stratigraphy, and mineral deposit types.
- Experience with data analysis, statistical methods, and geological databases.
- Excellent written and verbal communication skills.
- Ability to interpret complex geological information and present it clearly.
- Experience in mineral resource estimation is highly desirable.
- Knowledge of geophysical methods and their application in mining is a plus.
- Must be eligible to work in the UK and willing to undertake occasional site visits.
This advertiser has chosen not to accept applicants from your region.
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6
Senior Geologist - Data Analysis
OX1 1AA Oxford, South East
£50000 Annually
WhatJobs
Posted 16 days ago
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Job Description
Our client, a leading firm in the mining sector, is looking for a Senior Geologist specializing in data analysis to join their innovative team. This role will be based in **Oxford, Oxfordshire, UK**, with a hybrid work arrangement offering a balance between in-office collaboration and remote flexibility. You will be instrumental in collecting, interpreting, and modelling geological data from exploration sites, helping to identify potential mineral resources and optimize extraction strategies. Your expertise will be critical in utilizing advanced software and techniques to analyze large datasets, including geophysical surveys, core samples, and geochemical analyses.
The responsibilities include developing geological models, assessing resource potential, and preparing detailed technical reports for internal stakeholders and regulatory bodies. You will collaborate closely with exploration teams, mining engineers, and data scientists to ensure geological insights are integrated into all stages of the mining lifecycle. A strong understanding of geological principles, statistical analysis, and geological software (e.g., Leapfrog, ArcGIS, Vulcan) is essential. The ideal candidate will have excellent problem-solving skills, a meticulous approach to data handling, and the ability to communicate complex geological information clearly and concisely. This is a fantastic opportunity for a seasoned geologist to contribute to significant projects and advance their career within a respected organization.
Key Responsibilities:
The responsibilities include developing geological models, assessing resource potential, and preparing detailed technical reports for internal stakeholders and regulatory bodies. You will collaborate closely with exploration teams, mining engineers, and data scientists to ensure geological insights are integrated into all stages of the mining lifecycle. A strong understanding of geological principles, statistical analysis, and geological software (e.g., Leapfrog, ArcGIS, Vulcan) is essential. The ideal candidate will have excellent problem-solving skills, a meticulous approach to data handling, and the ability to communicate complex geological information clearly and concisely. This is a fantastic opportunity for a seasoned geologist to contribute to significant projects and advance their career within a respected organization.
Key Responsibilities:
- 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.
This advertiser has chosen not to accept applicants from your region.
7
Graduate Trainee - Data Analysis
OX1 1AA Oxford, South East
£25000 Annually
WhatJobs
Posted 16 days ago
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Job Description
Our client is seeking bright and ambitious Graduate Trainees to join their Data Analysis team. This is an excellent opportunity for recent graduates to launch their careers in a dynamic and data-driven environment located in Oxford, Oxfordshire, UK . The program offers comprehensive training, mentorship, and hands-on experience in various aspects of data analysis, interpretation, and visualisation. This hybrid role will involve a mix of in-office learning and collaborative activities, along with remote work, allowing for flexibility and exposure to modern work practices.
Key Responsibilities:
Key Responsibilities:
- 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.
This advertiser has chosen not to accept applicants from your region.
8
Advanced Apprentice - Data Analysis
OX1 1BB Oxford, South East
£22000 Annually
WhatJobs
Posted 23 days ago
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Job Description
Are you passionate about uncovering insights from data and eager to kickstart your career in a fast-paced, innovative environment? Our client, a forward-thinking organisation, is offering a unique Advanced Apprenticeship opportunity in Data Analysis, based in the historic city of Oxford, Oxfordshire, UK . This programme is meticulously designed for ambitious individuals who are looking to gain hands-on experience and formal qualifications while contributing to meaningful projects.
This apprenticeship will provide comprehensive training in data manipulation, analysis, visualization, and reporting. You will work alongside experienced data professionals, learning industry-standard tools and techniques. Your contributions will directly support business intelligence efforts, helping to shape strategic decisions through data-driven recommendations.
What you will learn and do:
This apprenticeship will provide comprehensive training in data manipulation, analysis, visualization, and reporting. You will work alongside experienced data professionals, learning industry-standard tools and techniques. Your contributions will directly support business intelligence efforts, helping to shape strategic decisions through data-driven recommendations.
What you will learn and do:
- 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.
This advertiser has chosen not to accept applicants from your region.
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