2,011 Data Analysts jobs in the United Kingdom

A major UK grocery retailer is establishing a new function within its data and analytics division. This initiative will focus on the convenience store segment, led by the Chief Supply Chain Officer. The team has approval to build from the ground up, seeking skilled data analysts and an experienced manager to lead the effort. Responsibilities Analyse data related to space, range, display and localisation to optimise product assortments for commercial growth Conduct geo-spatial and product range analysis, including pricing and promotional effectiveness Deliver statistical analysis and measurement frameworks (e.g., A/B testing, trial evaluation) Build reporting dashboards using Power BI and Power Automate to support decision-making Improve data quality and automate reporting processes using curated data marts Translate stakeholder requirements into actionable insights Manager role: Lead and mentor a team of 2-5 analysts, ensuring high-quality delivery and promoting best practices Requirements: 2-6 years' experience in analytical or consulting roles within commercial environments (depending on level) Comfortable working cross-functionally to source and interpret data Industry experience in retail, ideally within merchandising Proven ability to manage multiple projects simultaneously Strong stakeholder engagement and communication skills Essential technical skills: SQL, Power BI, Power Automate Preferred experience: A/B testing, Python, Databricks (especially for manager role), ETL/ELT pipelines, data modelling (marts, dimensional models), Git/version control Experience in pricing analytics and Mastercard Test & Learn platform is a bonus Details: Start date: ASAP Duration: Approximately 3 months, with potential for permanent placement Day rate: Analyst level: Up to £250 PAYE // Manager level: Up to £300 PAYE Location: 3 days per week on-site in West Yorkshire office

Our client, a dynamic organization in the leisure and sports sector, is seeking a skilled Sports Performance Analyst to join their remote team. This role is pivotal in leveraging data to enhance athletic performance and strategic decision-making within various sports disciplines. You will be responsible for collecting, analyzing, and interpreting complex performance data from training sessions and competitions, using advanced statistical techniques and specialized software. Your insights will be communicated to coaches, athletes, and management to inform training programs, tactical adjustments, and player development strategies. The ideal candidate will possess a strong understanding of sports science principles, exceptional analytical and data visualization skills, and a proven ability to translate raw data into actionable recommendations. Experience with sports-specific analytics platforms (e.g., Hudl, Sportscode, StatsBomb) is highly desirable. This fully remote position requires excellent communication abilities, meticulous attention to detail, and the capacity to work independently while collaborating effectively with geographically dispersed teams. You will play a crucial role in identifying performance trends, evaluating player potential, and contributing to the overall success of our athletes and teams. We are looking for a forward-thinking individual who is passionate about sports and data-driven performance improvement. This is an exciting opportunity to contribute to the cutting edge of sports analysis from a flexible, remote work environment.
Key Responsibilities:

• Collect and analyze performance data from athletes and teams.
• Utilize specialized software to interpret complex datasets related to physical and tactical performance.
• Identify key performance indicators (KPIs) and trends in athlete and team performance.
• Prepare detailed reports and presentations for coaches, athletes, and management.
• Provide actionable insights to inform training programs and strategic planning.
• Evaluate the effectiveness of training methodologies and tactical approaches.
• Assist in scouting and player recruitment by providing data-driven assessments.
• Collaborate remotely with coaching staff and support personnel.
• Stay updated on the latest advancements in sports analytics and performance science.
• Maintain confidentiality and integrity of sensitive performance data.

Qualifications:

• Bachelor's or Master's degree in Sports Science, Performance Analysis, Data Science, Statistics, or a related field.
• Proven experience in sports performance analysis.
• Proficiency in data analysis tools (e.g., Excel, R, Python) and sports analytics software.
• Strong understanding of sports physiology, biomechanics, and tactical analysis.
• Excellent analytical, critical thinking, and problem-solving skills.
• Effective communication and presentation abilities for remote delivery.
• Ability to work independently and manage deadlines in a remote setting.

Description

Do you want to directly influence the future of some of the most successful products in cloud computing? Come join Amazon Web Services Finance! Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world.



On the AWS EMEA Data Center Finance Team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy.



The successful candidate will work closely with a variety of stakeholders across functions (data center procurement, business development / real estate, construction, engineering, program managers, supply chain, data center operations, other finance teams) to drive projects and initiatives where they can demonstrate their strong judgment, and leadership. This role requires a self-starter who can leverage their analytical/technical skills and attention to detail to drive the business.



Key job responsibilities

- Serve as part of the regional leadership team responsible for delivering high quality and robust decisions with favorable business outcomes.

- Become subject matter expert for data center development and construction including cost drivers, pertinent technology, vendors, customers served, and regional nuances.

- Establish annual/monthly performance targets, analyze variances to plan, and communicate key messages to senior leadership.

- Pinpoint defects or waste in processes, and drive new processes and automation to eliminate the defects and prevent them from recurring.

- Identify and lead cost savings initiatives.

- Data center capital expenditure approvals.

- Support forecasting and month end activities across the team and specific regions

- Identify opportunities to improve on the tools and processes to support finance team and our business partners



A day in the life

Reviewing business development proposals and converting deal requirements into financial models, to help reviewing its performance vs benchmarks and vs goals. Be able to dive deep into deal specifics to help business identify commercial opportunities to reduce overall cost of deployment and better use of AWS assets.

Learn, understand and challenge design decisions and seek best in class financial support for our business partners to determine design plans for upcoming project.



About the team

Our team is a high impact finance unit which supports EMEA leaders in delivering lowest cost of data center capacity for our customers. We help business to make the best decisions for our customers and to never constrain our business to serve our clients.

Basic Qualifications

- Bachelor's degree in engineering, statistics or business, or a Bachelor's degree and experience in quantitative role (engineering, process re-engineering, quality assurance)

- Experience in tax, finance or a related analytical field

- Experience in accounts receivable or account payable

- Experience applying key financial performance indicators (KPIs) to analyses

- Experience in creating process improvements with automation and analysis

- Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes

- Experience with advanced use of SQL for data mining and business intelligence

- Experience as a lean sensei, or experience working as a Quality Assurance Engineer

Preferred Qualifications

- MBA, or CPA

- Knowledge of Tableau

- Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results

- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.



Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.



Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.

Description

Do you want to directly influence the future of some of the most successful products in cloud computing? Come join Amazon Web Services Finance! Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world.



On the AWS EMEA Data Center Finance Team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy.



The successful candidate will work closely with a variety of stakeholders across functions (data center procurement, business development / real estate, construction, engineering, program managers, supply chain, data center operations, other finance teams) to drive projects and initiatives where they can demonstrate their strong judgment, and leadership. This role requires a self-starter who can leverage their analytical/technical skills and attention to detail to drive the business.



Key job responsibilities

- Serve as part of the regional leadership team responsible for delivering high quality and robust decisions with favorable business outcomes.

- Become subject matter expert for data center development and construction including cost drivers, pertinent technology, vendors, customers served, and regional nuances.

- Establish annual/monthly performance targets, analyze variances to plan, and communicate key messages to senior leadership.

- Pinpoint defects or waste in processes, and drive new processes and automation to eliminate the defects and prevent them from recurring.

- Identify and lead cost savings initiatives.

- Data center capital expenditure approvals.

- Support forecasting and month end activities across the team and specific regions

- Identify opportunities to improve on the tools and processes to support finance team and our business partners



A day in the life

Reviewing business development proposals and converting deal requirements into financial models, to help reviewing its performance vs benchmarks and vs goals. Be able to dive deep into deal specifics to help business identify commercial opportunities to reduce overall cost of deployment and better use of AWS assets.

Learn, understand and challenge design decisions and seek best in class financial support for our business partners to determine design plans for upcoming project.



About the team

Our team is a high impact finance unit which supports EMEA leaders in delivering lowest cost of data center capacity for our customers. We help business to make the best decisions for our customers and to never constrain our business to serve our clients.

Basic Qualifications

- Bachelor's degree in engineering, statistics or business, or a Bachelor's degree and experience in quantitative role (engineering, process re-engineering, quality assurance)

- Experience in tax, finance or a related analytical field

- Experience in accounts receivable or account payable

- Experience applying key financial performance indicators (KPIs) to analyses

- Experience in creating process improvements with automation and analysis

- Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes

- Experience with advanced use of SQL for data mining and business intelligence

- Experience as a lean sensei, or experience working as a Quality Assurance Engineer

Preferred Qualifications

- MBA, or CPA

- Knowledge of Tableau

- Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results

- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.



Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.



Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.

Description
Do you want to directly influence the future of some of the most successful products in cloud computing? Come join Amazon Web Services Finance! Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world.
On the AWS EMEA Data Center Finance Team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy.
The successful candidate will work closely with a variety of stakeholders across functions (data center procurement, business development / real estate, construction, engineering, program managers, supply chain, data center operations, other finance teams) to drive projects and initiatives where they can demonstrate their strong judgment, and leadership. This role requires a self-starter who can leverage their analytical/technical skills and attention to detail to drive the business.
Key job responsibilities
- Serve as part of the regional leadership team responsible for delivering high quality and robust decisions with favorable business outcomes.
- Become subject matter expert for data center development and construction including cost drivers, pertinent technology, vendors, customers served, and regional nuances.
- Establish annual/monthly performance targets, analyze variances to plan, and communicate key messages to senior leadership.
- Pinpoint defects or waste in processes, and drive new processes and automation to eliminate the defects and prevent them from recurring.
- Identify and lead cost savings initiatives.
- Data center capital expenditure approvals.
- Support forecasting and month end activities across the team and specific regions
- Identify opportunities to improve on the tools and processes to support finance team and our business partners
A day in the life
Reviewing business development proposals and converting deal requirements into financial models, to help reviewing its performance vs benchmarks and vs goals. Be able to dive deep into deal specifics to help business identify commercial opportunities to reduce overall cost of deployment and better use of AWS assets.
Learn, understand and challenge design decisions and seek best in class financial support for our business partners to determine design plans for upcoming project.
About the team
Our team is a high impact finance unit which supports EMEA leaders in delivering lowest cost of data center capacity for our customers. We help business to make the best decisions for our customers and to never constrain our business to serve our clients.
Basic Qualifications
- Bachelor's degree in engineering, statistics or business, or a Bachelor's degree and experience in quantitative role (engineering, process re-engineering, quality assurance)
- Experience in tax, finance or a related analytical field
- Experience in accounts receivable or account payable
- Experience applying key financial performance indicators (KPIs) to analyses
- Experience in creating process improvements with automation and analysis
- Experience in identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes
- Experience with advanced use of SQL for data mining and business intelligence
- Experience as a lean sensei, or experience working as a Quality Assurance Engineer
Preferred Qualifications
- MBA, or CPA
- Knowledge of Tableau
- Experience participating in continuous improvement projects in your team to scale and improve controllership with measurable results
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our client is seeking an experienced Senior Data Mining Analyst to join their growing analytics team, based in **Brighton, East Sussex, UK**. This role will involve extracting valuable insights from large datasets, developing predictive models, and driving data-informed decision-making across the organisation. The successful candidate will play a crucial role in uncovering hidden patterns, trends, and correlations that can significantly impact business strategy and performance. This hybrid role offers a blend of in-office collaboration and remote flexibility.

Key responsibilities:

• Applying advanced data mining techniques to analyse complex datasets from various sources.
• Developing, testing, and deploying predictive models and machine learning algorithms.
• Identifying key trends, patterns, and anomalies within data to inform business strategy.
• Communicating complex findings and recommendations clearly to both technical and non-technical stakeholders through reports and presentations.
• Collaborating with business units to understand their data needs and translate them into analytical projects.
• Designing and implementing data exploration strategies to discover actionable insights.
• Evaluating and implementing new data mining tools and methodologies.
• Ensuring data quality and integrity throughout the analysis process.
• Mentoring junior analysts and contributing to the team's technical development.
• Staying abreast of the latest advancements in data mining, machine learning, and statistical analysis.

We are looking for candidates with a Master's or PhD in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline. A minimum of 5 years of experience in data mining, statistical analysis, or machine learning is required. Proficiency in programming languages such as Python or R, along with expertise in SQL and data manipulation techniques, is essential. Experience with data visualization tools (e.g., Tableau, Power BI) and big data technologies is highly desirable. Strong analytical, problem-solving, and communication skills are crucial for success in this role. This is an excellent opportunity to leverage your data expertise in a vibrant coastal city like **Brighton, East Sussex, UK**.

Our client is seeking a highly skilled and experienced Senior Data Scientist to join their innovative team, focusing on advanced analytics within the mining industry. This is a fully remote position, offering the flexibility to work from anywhere within the UK. You will be at the forefront of leveraging large datasets to extract actionable insights, optimize mining operations, predict equipment failures, enhance safety protocols, and improve resource exploration. The ideal candidate will have a deep understanding of statistical modeling, machine learning algorithms, and data visualization techniques, coupled with specific experience in applying these skills to mining-related challenges. You will work closely with geologists, engineers, and operational teams to identify key business questions and translate them into data-driven solutions. Responsibilities include developing and deploying predictive models, designing and conducting A/B tests, building robust data pipelines, and communicating complex findings to both technical and non-technical audiences. Proficiency in programming languages such as Python or R, and experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP) are essential. This role demands a proactive individual with a passion for data, a strong problem-solving aptitude, and the ability to thrive in a collaborative, remote-first environment.
Responsibilities:

• Develop and implement advanced statistical and machine learning models to solve complex mining-related problems.
• Analyze large datasets from various sources (e.g., geological surveys, sensor data, operational logs) to identify trends and insights.
• Design, build, and maintain scalable data pipelines and analytical workflows.
• Create compelling data visualizations and dashboards to communicate findings to stakeholders.
• Collaborate with cross-functional teams, including geologists, engineers, and operations managers, to define data requirements and drive data-informed decision-making.
• Stay current with the latest advancements in data science, machine learning, and AI, and explore their applicability to the mining sector.
• Mentor junior data scientists and contribute to the team's technical growth.
• Ensure data quality and integrity throughout the analytical process.
• Effectively communicate complex technical concepts to non-technical audiences.

Qualifications:

• MSc or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a proven track record of delivering impactful data-driven solutions.
• Strong experience in machine learning techniques (e.g., regression, classification, clustering, time-series analysis).
• Proficiency in Python or R and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Demonstrable experience in applying data science to the mining industry is highly preferred.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team.

Our client, a forward-thinking mining corporation, is seeking an exceptional Lead Data Scientist to spearhead their data analytics initiatives. This fully remote position offers a unique opportunity to leverage advanced data science techniques to drive efficiency, sustainability, and innovation across their global mining operations. You will be responsible for developing and implementing sophisticated analytical models that extract actionable insights from vast datasets related to geological exploration, operational performance, equipment maintenance, safety, and environmental impact. Your role will involve leading a team of data scientists and collaborating closely with domain experts in geology, engineering, and operations to identify key challenges and opportunities where data-driven solutions can make a significant difference. This includes building predictive models for resource estimation, optimising extraction processes, forecasting equipment failures, and enhancing safety protocols. You will design and deploy machine learning algorithms, utilise statistical modelling techniques, and work with big data technologies to process and analyse complex information. The ideal candidate will have a strong background in applied data science, machine learning, and statistical analysis, with a proven ability to translate complex findings into clear, actionable recommendations for business leaders. As a Lead Data Scientist, you will also play a key role in shaping the company's data strategy, mentoring junior team members, and fostering a data-centric culture. This role is fully remote, demanding excellent self-management, communication, and collaboration skills to work effectively within a distributed global team. If you are passionate about using data to transform an industry and looking for a challenging leadership role with significant impact, we invite you to apply.

Responsibilities:

• Lead the development and deployment of data science models and machine learning algorithms.
• Analyse large, complex datasets from mining operations to identify trends and insights.
• Build predictive models for resource estimation, operational efficiency, and equipment maintenance.
• Collaborate with domain experts to define analytical requirements and deliver solutions.
• Design and implement data pipelines and analytical frameworks.
• Mentor and guide junior data scientists and analysts.
• Communicate findings and recommendations to stakeholders at all levels.
• Drive the adoption of data-driven decision-making across the organisation.
• Stay current with advancements in data science, machine learning, and AI.

Qualifications:

• Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of experience in data science or machine learning, with a proven track record of delivering impactful solutions.
• Expertise in programming languages such as Python or R, and libraries like Scikit-learn, TensorFlow, or PyTorch.
• Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop).
• Strong understanding of statistical modelling, predictive analytics, and machine learning techniques.
• Experience in the mining or natural resources sector is highly desirable.
• Excellent problem-solving, analytical, and critical thinking skills.
• Superior communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Demonstrated ability to lead projects and mentor team members in a remote environment.

Our client, a forward-thinking leader in the mining sector, is seeking an accomplished Senior Data Scientist to drive innovation in exploration and resource analysis. This role offers a hybrid working arrangement, blending focused remote work with essential collaborative sessions at our offices in Edinburgh, Scotland, UK . You will leverage advanced analytical techniques, machine learning, and statistical modeling to unlock insights from vast geological and operational datasets, ultimately guiding strategic decision-making in resource identification and extraction.

Key Responsibilities:

• Develop and deploy sophisticated data models and machine learning algorithms for geological data analysis, predictive modeling, and resource estimation.
• Process, clean, and transform large, complex datasets from various sources (e.g., seismic, drilling, geophysical, operational).
• Collaborate with geologists, geophysicists, and engineers to understand data needs and translate business problems into analytical solutions.
• Design and implement A/B testing frameworks and statistical analyses to evaluate new exploration strategies.
• Create insightful data visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining and exploration industry.
• Mentor junior data scientists and contribute to building the team's analytical capabilities.
• Ensure data quality, integrity, and security across all analytical projects.
• Contribute to the development of data infrastructure and best practices within the organization.
• Identify opportunities for data-driven improvements in exploration targeting and operational efficiency.
• Present findings and recommendations to senior management and key stakeholders.

Qualifications and Experience:

• Master's or PhD in Data Science, Statistics, Computer Science, Geosciences, or a related quantitative field.
• Proven track record of 5+ years in a Data Scientist role, with significant experience in applying ML/AI to complex datasets.
• Expertise in Python or R, and proficiency with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
• Strong experience with SQL and working with large relational and non-relational databases.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
• Knowledge of geological or mining industry data is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex results clearly.
• Ability to work effectively in a hybrid team environment.

This is a pivotal role for an expert in data science seeking to apply their skills to impactful challenges in the natural resources sector. If you are a strategic thinker driven by data, we encourage you to apply.