385 Data Driven Insights jobs in the United Kingdom

• Collect, process, and analyze vast amounts of performance data from various sources (e.g., GPS, video analysis, physiological metrics).
• Develop and implement advanced statistical models to identify key performance indicators (KPIs) and trends.
• Create clear and compelling data visualizations and reports to communicate findings to coaches, athletes, and management.
• Collaborate with coaching staff to understand their needs and translate them into data-driven performance solutions.
• Monitor athlete load, fatigue, and injury risk, providing recommendations for training adjustments.
• Conduct post-match/event analysis to provide detailed feedback on team and individual performance.
• Stay current with the latest technologies and methodologies in sports analytics and performance science.
• Mentor junior analysts and contribute to the development of analytical tools and processes.
• Ensure data integrity and confidentiality across all analytical activities.

• Bachelor's or Master's degree in Sports Science, Biomechanics, Statistics, Data Science, or a related field.
• A minimum of 4 years of experience in sports performance analysis or a similar analytical role within the sports industry.
• Proven expertise in statistical analysis software (e.g., R, SPSS, Python with relevant libraries like Pandas, NumPy).
• Proficiency with data visualization tools (e.g., Tableau, Power BI).
• Experience with sports-specific data collection tools (e.g., Catapult, Hudl).
• Strong understanding of sports physiology, biomechanics, and training principles.
• Excellent analytical, critical thinking, and problem-solving skills.
• Exceptional communication and presentation skills, with the ability to convey complex data in an understandable manner.
• Demonstrated ability to work independently and manage multiple projects in a remote setting.
• Passion for sports and a commitment to driving performance through data.

• Collect, clean, and process performance data from various sources (wearables, video analysis, etc.).
• Conduct in-depth statistical analysis of athlete and team performance data.
• Identify key performance indicators (KPIs) and trends to inform training and strategy.
• Develop and maintain performance dashboards and reports using visualization tools (e.g., Tableau, Power BI).
• Provide objective, data-driven insights to coaches, athletes, and support staff.
• Collaborate with coaches to understand their needs and tailor data analysis accordingly.
• Stay abreast of the latest advancements in sports science, performance analysis techniques, and technologies.
• Assist in the development and implementation of new data collection and analysis methodologies.
• Ensure data integrity and accuracy across all datasets.
• Contribute to a culture of data-driven decision-making within the organization.

• Bachelor's or Master's degree in Sports Science, Data Science, Statistics, Kinesiology, or a related field.
• Proven experience as a Sports Performance Analyst or in a similar data analysis role within a sports context.
• Strong proficiency in data analysis software (e.g., R, Python, SPSS) and statistical techniques.
• Experience with sports-specific data analysis tools and video analysis software (e.g., Hudl, Catapult).
• Excellent data visualization skills and experience with BI tools.
• Deep understanding of sports performance principles and athletic training methodologies.
• Strong analytical, critical thinking, and problem-solving abilities.
• Exceptional written and verbal communication skills, capable of presenting complex data clearly.
• Ability to work independently and manage time effectively in a remote environment.

• Lead the analysis of large datasets related to athlete performance, team strategy, and fan engagement.
• Develop and refine predictive models and statistical algorithms for performance forecasting and strategic planning.
• Design and implement data visualisation dashboards and reports for various stakeholders.
• Conduct in-depth research on emerging trends in sports analytics and data science.
• Manage and mentor a team of junior and senior sports analysts, providing guidance and feedback.
• Collaborate with clients to understand their specific needs and deliver tailored analytical solutions.
• Ensure the accuracy, reliability, and integrity of all data sources and analytical outputs.
• Present complex findings and recommendations in a clear and concise manner, both verbally and in writing.
• Contribute to the development of new analytical tools and methodologies.
• Stay abreast of the latest advancements in data science, machine learning, and sports technology.

• Master's degree or PhD in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
• Minimum of 7 years of experience in sports analytics or a similar data-intensive field.
• Proven experience leading a team of analysts.
• Expertise in statistical modeling, machine learning techniques, and data mining.
• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Strong understanding of sports rules, strategies, and performance metrics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain technical concepts to a non-technical audience.
• Demonstrated ability to work independently and manage projects effectively in a remote setting.

• Lead the development and implementation of sophisticated performance analysis frameworks across multiple sports.
• Collect, synchronise, and analyse data from a variety of sources, including wearable technology, video analysis software, and physiological monitoring systems.
• Develop predictive models to identify potential performance trends, injury risks, and strategic opportunities.
• Create comprehensive performance reports and visualisations that clearly communicate key insights to coaches, athletes, and management.
• Collaborate closely with coaching staff to integrate data-driven insights into training plans and tactical decision-making.
• Stay abreast of the latest advancements in sports science, performance analytics technologies, and relevant software.
• Mentor and guide junior analysts, fostering a culture of continuous learning and improvement within the performance analysis department.
• Design and oversee data collection protocols to ensure data integrity and reliability.
• Identify and evaluate new technologies and methodologies to enhance performance analysis capabilities.
• Present findings and recommendations at team meetings and conferences, articulating the value of data in sports performance.

• A Master's degree or PhD in Sports Science, Biomechanics, Data Science, Statistics, or a related field.
• A minimum of 6 years of experience in sports performance analysis, with a significant portion in a lead or senior role.
• Proven expertise in data analysis software (e.g., R, Python, SPSS) and visualisation tools (e.g., Tableau, Power BI).
• Extensive experience with video analysis software (e.g., Hudl, Dartfish) and sports-specific performance tracking systems.
• A strong understanding of sports physiology, biomechanics, and tactical analysis principles.
• Excellent communication, presentation, and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
• Demonstrated ability to work effectively in a remote, collaborative team environment.
• Experience in project management and leading analytical initiatives.
• Passion for sports and a commitment to enhancing athletic performance through data.

• Permanent
• Basingstoke(Hybrid-x2PW)
• Upto70,000+ExcellentPackage

• DesigningandbuildingscalabledatapipelinesusingApacheSpark inAzureDatabricks
• Developingreal-timeandbatchdataingestionworkflows,ideallyusingApacheKafka
• Collaboratingwithdatascientists,analysts,andbusinessstakeholderstobuildhigh-qualitydataproducts
• Supportingthedeploymentandproductionisationofmachinelearningpipelines
• ContributingtotheongoingdevelopmentofaLakehouse architecture
• WorkinginanAgile/DevOps environmenttocontinuouslyimproveplatformperformanceandreliability

• ProvenexperiencewithAzureDatabricks andApacheSpark
• WorkingknowledgeofApacheKafka andreal-timedatastreaming
• StrongproficiencyinSQL andPython
• FamiliaritywithAzureDataServices andCI/CDpipelinesinaDevOpsenvironment
• Solidunderstandingofdatamodellingtechniques(e.g.,StarSchema)
• Excellentproblem-solvingskillsandahighattentiontodetail

• AzureDataEngineercertification
• Experienceworkingwithunstructureddatasources(e.g.voice)
• ExposuretoPowerBIfordownstreamreporting(desirable,butsecondarytoplatformengineeringskills)
• Previousexperienceinregulatedindustries

Job Title: Data Analytics Manager

Location: London (3 Days in the office)

Job Type: Full Time

Company Overview

Operating quietly at the intersection of community and commerce, this UK-based real estate investment trust specialises in essential-led retail that remains relevant through changing market cycles. Focused on underappreciated assets in resilient locations, the company balances disciplined asset management with a deep understanding of local needs. It offers employees the chance to work behind the scenes on places that genuinely matter.

Role Summary

We’re looking for a proactive and technically capable Data & Reporting Analyst to join the Strategy & Investment team at a pivotal moment in the company’s data journey. This newly created role is part of a broader move to bring data capabilities in-house, reducing reliance on external consultancies and building a centralised, scalable reporting infrastructure. You’ll work across departments to design dashboards, integrate diverse data sources, and deliver insights that drive both day-to-day decisions and long-term strategic planning.

Key Responsibilities

Data & Reporting

• Design, build, and maintain dashboards across capex, asset performance, credit risk, and strategic KPIs.
• Standardise and manage data inputs from systems such as Yardi , OnePower , and other internal platforms into a central data lake .
• Produce structured outputs and data matrices used for Board reports, investor updates, and ExCo presentations.

Collaboration & Integration

• Work closely with the Finance , Asset Management , and Strategy teams to define and align reporting needs.
• Collaborate with internal stakeholders to streamline data pipelines and eliminate information silos.
• Partner with IT to ensure data solutions are secure, scalable, and future-ready.

Platform & Accessibility

• Contribute to the design of an internal portal that brings together financial, operational, and site-specific data in one accessible location.
• Make complex information intuitive and usable for both technical and non-technical audiences.

What You’ll Bring

• 7-10 years’ experience in data analysis, business intelligence, or reporting.
• Proficiency in Power BI, Tableau, SQL, or similar tools.
• Familiarity with enterprise platforms such as Yardi is highly desirable.
• Strong analytical mindset with the ability to turn raw data into meaningful insights.
• A collaborative approach and confidence engaging with stakeholders across departments and seniority levels.
• A mindset geared toward simplification, standardisation, and long-term scalability.

Job Title: Data Analytics Manager

Location: London (3 Days in the office)

Job Type: Full Time

Company Overview

Operating quietly at the intersection of community and commerce, this UK-based real estate investment trust specialises in essential-led retail that remains relevant through changing market cycles. Focused on underappreciated assets in resilient locations, the company balances disciplined asset management with a deep understanding of local needs. It offers employees the chance to work behind the scenes on places that genuinely matter.

Role Summary

We’re looking for a proactive and technically capable Data & Reporting Analyst to join the Strategy & Investment team at a pivotal moment in the company’s data journey. This newly created role is part of a broader move to bring data capabilities in-house, reducing reliance on external consultancies and building a centralised, scalable reporting infrastructure. You’ll work across departments to design dashboards, integrate diverse data sources, and deliver insights that drive both day-to-day decisions and long-term strategic planning.

Key Responsibilities

Data & Reporting

• Design, build, and maintain dashboards across capex, asset performance, credit risk, and strategic KPIs.
• Standardise and manage data inputs from systems such as Yardi , OnePower , and other internal platforms into a central data lake .
• Produce structured outputs and data matrices used for Board reports, investor updates, and ExCo presentations.

Collaboration & Integration

• Work closely with the Finance , Asset Management , and Strategy teams to define and align reporting needs.
• Collaborate with internal stakeholders to streamline data pipelines and eliminate information silos.
• Partner with IT to ensure data solutions are secure, scalable, and future-ready.

Platform & Accessibility

• Contribute to the design of an internal portal that brings together financial, operational, and site-specific data in one accessible location.
• Make complex information intuitive and usable for both technical and non-technical audiences.

What You’ll Bring

• 7-10 years’ experience in data analysis, business intelligence, or reporting.
• Proficiency in Power BI, Tableau, SQL, or similar tools.
• Familiarity with enterprise platforms such as Yardi is highly desirable.
• Strong analytical mindset with the ability to turn raw data into meaningful insights.
• A collaborative approach and confidence engaging with stakeholders across departments and seniority levels.
• A mindset geared toward simplification, standardisation, and long-term scalability.

Data and Analytics Manager

Location: London

Hybrid: 2/3 days per week onsite

Reporting To: Deputy CEO

Salary: £100,000 – £110,000 + Bonus + Benefits

A forward-thinking, employee-owned business based in London is entering a significant growth phase supported by external capital investment. We’re seeking a strategic and hands-on Data and Analytics Manager to lead the company’s data journey from the ground up.

This is a pivotal role to design and implement the data strategy, business intelligence initiatives, and data governance frameworks, fostering a culture of data-driven decision-making across the organization.

Key Responsibilities

• Build and lead a new data & analytics team.
• Develop and execute a company-wide data and analytics strategy aligned to business objectives.
• Own reporting and business intelligence, focusing on Power BI and SQL.
• Implement and oversee data governance, ensuring compliance with GDPR, ISO27001, FCA, MAS, and other relevant regulations.
• Serve as the primary liaison between business units and technology teams on data initiatives.
• Engage senior stakeholders, including C-suite, to champion data adoption and maximize business value.
• Maintain a hands-on approach in reporting, dashboards, and data visualization development.
• Create a scalable roadmap for data capabilities, identifying opportunities for innovation and growth.

What We’re Looking For

• Strong Power BI and SQL skills with hands-on experience in BI/reporting.
• Proven track record in shaping and delivering data strategy and governance, ideally within the insurance sector (Lloyd’s or company market experience preferred).
• Experience building or leading data teams.
• Excellent stakeholder management and communication skills, comfortable presenting at senior leadership level.
• Solid knowledge of regulatory data compliance.
• Ability to translate complex business challenges into actionable insights.
• Candidates on a 3-month notice period will be considered.

Why Join?

• Join an employee-owned business entering a transformative growth phase.
• Lead and shape the company’s data culture with strong executive backing.
• Competitive salary plus discretionary bonus.
• Generous holiday allowance (25 days rising to 30 with service) and flexible working options.
• Pension: 5% employee / 10% employer contributions.
• Hybrid work model with flexibility for remote working.
• Comprehensive benefits package.

Sound good?

Apply today.

Data and Analytics Manager

Location: London

Hybrid: 2/3 days per week onsite

Reporting To: Deputy CEO

Salary: £100,000 – £110,000 + Bonus + Benefits

A forward-thinking, employee-owned business based in London is entering a significant growth phase supported by external capital investment. We’re seeking a strategic and hands-on Data and Analytics Manager to lead the company’s data journey from the ground up.

This is a pivotal role to design and implement the data strategy, business intelligence initiatives, and data governance frameworks, fostering a culture of data-driven decision-making across the organization.

Key Responsibilities

• Build and lead a new data & analytics team.
• Develop and execute a company-wide data and analytics strategy aligned to business objectives.
• Own reporting and business intelligence, focusing on Power BI and SQL.
• Implement and oversee data governance, ensuring compliance with GDPR, ISO27001, FCA, MAS, and other relevant regulations.
• Serve as the primary liaison between business units and technology teams on data initiatives.
• Engage senior stakeholders, including C-suite, to champion data adoption and maximize business value.
• Maintain a hands-on approach in reporting, dashboards, and data visualization development.
• Create a scalable roadmap for data capabilities, identifying opportunities for innovation and growth.

What We’re Looking For

• Strong Power BI and SQL skills with hands-on experience in BI/reporting.
• Proven track record in shaping and delivering data strategy and governance, ideally within the insurance sector (Lloyd’s or company market experience preferred).
• Experience building or leading data teams.
• Excellent stakeholder management and communication skills, comfortable presenting at senior leadership level.
• Solid knowledge of regulatory data compliance.
• Ability to translate complex business challenges into actionable insights.
• Candidates on a 3-month notice period will be considered.

Why Join?

• Join an employee-owned business entering a transformative growth phase.
• Lead and shape the company’s data culture with strong executive backing.
• Competitive salary plus discretionary bonus.
• Generous holiday allowance (25 days rising to 30 with service) and flexible working options.
• Pension: 5% employee / 10% employer contributions.
• Hybrid work model with flexibility for remote working.
• Comprehensive benefits package.

Sound good?

Apply today.