Smartodds
Overview We have a fantastic new opportunity to join our team at Smartodds as a Data Analyst. Based in North London, Smartodds provides in-depth research and analysis on sporting events around the world, supported by world-class, bespoke software platforms. We are proud of our collaborative and dynamic culture, grounded in our core values of Boldness, Open-mindedness, Ownership, and Togetherness. We are a supportive and collaborative team - our environment is open, inclusive, and focused on doing great work together. About the role As a Data Analyst you will play a key role in supporting professional football clubs by transforming complex data into actionable insights that inform decision-making across performance, recruitment and operations. Acting as the bridge between raw data and end users within a club environment, you will ensure that analysts, coaches, and performance staff can easily access and interpret the information they need with ease. This will involve developing R packages to enable technical users to query and work with club data, while also creating intuitive dashboards and reports-both interactive and static-that allow non-technical stakeholders to explore insights in a clear and user friendly way. Key Responsibilities Develop R packages to retrieve, manipulate, analyse and expose data Produce interactive or static reports to allow users to explore and digest data Conduct ad hoc analysis as required, to answer performance, recruitment, and opposition related questions from football clubs Collaborate with Quants, Software Developers and Data Engineers, to understand data needs and ensure data is stored and delivered in the most efficient and appropriate manner Assist Junior Data Analysts to ensure integrity and accuracy of our data Person Specification (Skills & Experience) - Required Good knowledge of R, including experience building applications with Shiny Knowledge and experience of database technologies (e.g. SQL server, PostgreSQL, Redis) Hands-on experience working with football event data Strong understanding of football analytics concepts and how data can be applied across recruitment, performance, and opposition analysis A fantastic work ethic with excellent attention to detail, intuition and an ability to manage and prioritise several projects simultaneously Strong communication and presentation skills, with the ability to translate complex data insights into clear, actionable recommendations for a non-technical audience Solid understanding of statistical modelling techniques and their practical application in a sports analytics context Preferred Bachelor's degree in a quantitative field (Statistics, Data Science, Computer Science, or similar). Experience working with a football club's performance analysis department, with a strong understanding of the performance analysis processes. Experience processing and analysing player tracking data at scale Familiarity with physical/GPS data outputs Experience using Version Control Familiar with Linux operating system Proficiency in Spanish is desirable but not essential Others Ability to work in the UK What you can expect in return - Our Benefits From Day One 30 days holiday (in addition to bank & public holidays) In-house chef In-house masseuse Team sporting events 25% discount on Brentford Football Club merchandise Cycle to work scheme Employee Assistance Programme Interest-free travel season ticket loan Offsite trips Available on selected days After 3 Months Pension - Employer Contribution starting at 5.5%, and employee starting at 2.5% Income protection - 75% of salary (subject to terms & conditions) After Probation Private Medical Insurance - including coverage of any excess payment Health Cash Plan via Medicash Life Assurance (4 x times earnings at time of death) Enhanced Company Sick Pay A discretionary annual bonus After 2 Years Increase in Employer Pension to 6% (to a minimum employee contribution of 3%) Enhanced Maternity Pay Enhanced Paternity Pay After 4 Years Increase in Employer's Pension to 7% (to a minimum employee contribution of 3.5%)
Overview We have a fantastic new opportunity to join our team at Smartodds as a Data Analyst. Based in North London, Smartodds provides in-depth research and analysis on sporting events around the world, supported by world-class, bespoke software platforms. We are proud of our collaborative and dynamic culture, grounded in our core values of Boldness, Open-mindedness, Ownership, and Togetherness. We are a supportive and collaborative team - our environment is open, inclusive, and focused on doing great work together. About the role As a Data Analyst you will play a key role in supporting professional football clubs by transforming complex data into actionable insights that inform decision-making across performance, recruitment and operations. Acting as the bridge between raw data and end users within a club environment, you will ensure that analysts, coaches, and performance staff can easily access and interpret the information they need with ease. This will involve developing R packages to enable technical users to query and work with club data, while also creating intuitive dashboards and reports-both interactive and static-that allow non-technical stakeholders to explore insights in a clear and user friendly way. Key Responsibilities Develop R packages to retrieve, manipulate, analyse and expose data Produce interactive or static reports to allow users to explore and digest data Conduct ad hoc analysis as required, to answer performance, recruitment, and opposition related questions from football clubs Collaborate with Quants, Software Developers and Data Engineers, to understand data needs and ensure data is stored and delivered in the most efficient and appropriate manner Assist Junior Data Analysts to ensure integrity and accuracy of our data Person Specification (Skills & Experience) - Required Good knowledge of R, including experience building applications with Shiny Knowledge and experience of database technologies (e.g. SQL server, PostgreSQL, Redis) Hands-on experience working with football event data Strong understanding of football analytics concepts and how data can be applied across recruitment, performance, and opposition analysis A fantastic work ethic with excellent attention to detail, intuition and an ability to manage and prioritise several projects simultaneously Strong communication and presentation skills, with the ability to translate complex data insights into clear, actionable recommendations for a non-technical audience Solid understanding of statistical modelling techniques and their practical application in a sports analytics context Preferred Bachelor's degree in a quantitative field (Statistics, Data Science, Computer Science, or similar). Experience working with a football club's performance analysis department, with a strong understanding of the performance analysis processes. Experience processing and analysing player tracking data at scale Familiarity with physical/GPS data outputs Experience using Version Control Familiar with Linux operating system Proficiency in Spanish is desirable but not essential Others Ability to work in the UK What you can expect in return - Our Benefits From Day One 30 days holiday (in addition to bank & public holidays) In-house chef In-house masseuse Team sporting events 25% discount on Brentford Football Club merchandise Cycle to work scheme Employee Assistance Programme Interest-free travel season ticket loan Offsite trips Available on selected days After 3 Months Pension - Employer Contribution starting at 5.5%, and employee starting at 2.5% Income protection - 75% of salary (subject to terms & conditions) After Probation Private Medical Insurance - including coverage of any excess payment Health Cash Plan via Medicash Life Assurance (4 x times earnings at time of death) Enhanced Company Sick Pay A discretionary annual bonus After 2 Years Increase in Employer Pension to 6% (to a minimum employee contribution of 3%) Enhanced Maternity Pay Enhanced Paternity Pay After 4 Years Increase in Employer's Pension to 7% (to a minimum employee contribution of 3.5%)