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Working at the RFU means being part of the ‘bigger picture’ at England Rugby: to be rooted in our purpose, which is to enrich lives, introduce more people to rugby union & develop the sport for future generations. If our purpose resonates with you, and you recognise the value that sport can bring to people’s lives, we’d love to work with you. An opportunity has arisen for a Data Analytics Manager to join our Marketing team on a permanent basis.
Job Title : Data Analytics Manager
Department : Marketing
Reports to : Senior Customer Data Analytics Manager
Salary : c.£47,000 per annum
Job Level : Guide
Location : This role is contractually based at Allianz Stadium, offering some flexibility to work from home
Employment Type : Permanent
Working Hours : This is a full-time role, covering 35hrs per week
Application Information:
To help us get to know your unique experience and voice, we kindly ask that you complete your application without the use of AI‑generated content. This ensures we can fairly and accurately understand your skills, perspective, and suitability for the role.
The Role:
The RFU is delivering an ambitious strategic plan to become a data-driven, user-centric organisation with market-leading digital and analytics capabilities. This transformation will reshape the rugby experience for players, volunteers and fans today while future-proofing the governing body for years to come.
As a Data & Analytics Manager within the Advanced Data Analytics team, you will be a driving force behind the RFU’s customer analytics capability. You will design, build and operationalise a suite of analytical models including fan, player and volunteer segmentation, growth models, customer lifetime value (CLV), propensity models and price elasticity analysis etc. These assets will directly inform commercial, marketing and engagement strategy across England Rugby.
This is a highly visible, hands-on role that blends advanced data science with compelling storytelling. You will be expected to translate complex analytical outputs into clear, actionable recommendations and present them with confidence to senior stakeholders, commercial partners and cross-functional teams. The ability to present work clearly, persuasively and at the right level of detail is as critical as technical excellence.
You will work primarily in Python for model development and data science workflows, leverage AWS services (Glue, ECS, SageMaker) for scalable data analytics and model deployment, and use Tableau to build dashboards and reporting layers that make analytical outputs accessible to the wider business. Collaboration and documentation are central to the role, using GitHub for version control and Confluence for knowledge sharing and Jira for project management.
Some key responsibilities include:
Customer Analytics Suite
Insight, Storytelling & Presentation
Stakeholder Collaboration & Strategy
Data Analytics Platform
Leadership & Continuous Improvement
Qualifications, Skills & Experience:
The skills and attributes outlined in this description are not exhaustive and we welcome candidates who can bring different relevant experiences to the role.
Essential:
Desirable:
Additional Information: