F1 Digital Analytics Manager
Formula 1
Job Overview
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Job Description
Overview
Are you ready to make your mark in the world of Formula 1? At Formula 1, we deliver the world’s greatest sports and entertainment spectacle with a legacy of innovation since our first Grand Prix in 1950.
Role Overview
The F1 Digital Analytics Manager will join our Marketing team at our London office. You will lead the development and delivery of data-driven insights across F1’s digital ecosystem, including web, app, database, and social platforms, and drive business growth through strategic analysis.
Main Duties and Responsibilities
- Develop analytics roadmap for Web, App, Database, and Social.
- Collaborate with cross-functional teams and manage agency work.
- Deliver high‑visibility reporting and actionable insights to senior stakeholders.
- Advise on digital engagement, forecasting, and data modelling.
- Translate analysis into clear, actionable recommendations.
What Are We Looking For?
A strong background in digital engagement metrics with expertise in SQL, data modelling, and analytics tools like Google Analytics, AWS, Emplifi, and BI platforms such as PowerBI, Quicksight, and Looker. You should have 5+ years in an analytics role along with proven team leadership and the ability to communicate complex data insights effectively.
Benefits
- Private Healthcare and Dental Care
- 4 x Grand Prix Paddock passes per season
- Enhanced family planning policies and staff shuttle service
- Access to discounted F1 merchandise and experiences
- 25 days annual leave plus bank holidays
Key skills/competency
- Digital Analytics
- SQL
- Data Modelling
- Google Analytics
- BI Platforms
- Data Visualization
- Stakeholder Communication
- Team Leadership
- Forecasting
- Engagement Metrics
How to Get Hired at Formula 1
- Customize your resume: Tailor experience to digital analytics and leadership.
- Highlight technical skills: Emphasize SQL, data modelling, and BI proficiency.
- Research Formula 1: Understand their innovation and sports legacy.
- Prepare for data questions: Expect technical and scenario-based interviews.
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