Do you believe that being active can change people’s lives?
Do you want to work on projects that will shape the future of London for the better?
Could you help us improve Londoners’ health and happiness by making the capital a more physically active city?
The Role
The Data and Analytics Lead for London Sport is a new role that will support our work with large data sets and
our increasing work with open data.
This role sits within the Innovation and Impact team and will involve implementing innovative data solutions
and collaborating with internal and external stakeholders to enhance and evidence the impact of our work to
promote sport and physical activity. There are opportunities to grow with the role, and the ability to shape our
data and analytics strategy going forward.
What you’ll do:
• Develop, deliver, and maintain systems and processes to collect, analyse and share sport and physical
activity-related data. Part of this includes building and managing a data ecosystem to ensure data
storage and formatting is standardised.
• Implement and optimise innovative data-driven approaches to support data-driven decision-making
internally across London Sport operations and externally with its stakeholders.
• Collaborate with external stakeholders and partners to identify data needs and opportunities.
• Work with the Impact and Innovation Directorate to identify opportunities to work with open data.
• Line manage people and budgetary resources.
• Establish key performance indicators (KPIs) for projects working with big data sets and monitor
performance against set targets.
• Generate and present regular reports, showcasing the impact of our data strategy to internal and
external stakeholders.
Who you are:
• You have at least a bachelor’s degree in a relevant field such as Data Science, Computer Science,
Statistics, or a related discipline/professional certification in data management, analytics, or related
areas.
• High level experience in data management and analytics.
• A proven ability to perform in-depth primary and secondary analysis (statistical analysis, data
modelling, etc.) of large-scale and/or complex data sets.
• Proficiency in data analytics tools and languages such as SQL, Python, R, and familiarity with relevant
frameworks.
• Desirable skills that could be relevant to the role include data visualisation tools (e.g. Tableau,
Power BI) and or the ability to work with Open Data (Hadoop, Spark etc).
• Excellent communication skills, with the ability to convey and present technical concepts and datadriven insights to non-technical stakeholders.
• Ability to collaborate with diverse, cross-functional teams and build strong relationships with internal
and external stakeholders.
• Strong project management skills, with the ability to prioritize and manage multiple projects
simultaneously.
• Familiarity with data governance frameworks, best practices and commitment to continuous
professional development in data management and analytics.
Download the recruitment pack here.
If you have any questions regarding the application process, please email [email protected]
