At a Glance
- Tasks: Analyse and optimise data solutions to support Formula 1's innovative projects.
- Company: Join the iconic Formula 1 team, a leader in sports and entertainment.
- Benefits: Enjoy private healthcare, free snacks, and 25 days annual leave.
- Other info: Opportunities for career progression and training available.
- Why this job: Be part of a dynamic environment that values innovation and personal growth.
- Qualifications: Experience in data activities and proficiency with Microsoft Fabric required.
The predicted salary is between 33075 - 40425 £ per year.
Are you ready to make your mark in the world of Formula 1? At Formula 1, we are passionate about delivering the world’s greatest sports and entertainment spectacle leaving a positive legacy wherever we race. Innovation has always been at the heart of what we do ever since our first Grand Prix in 1950. Now, more than 75 years on, the sport remains a pioneer, developing technologies that have made a significant impact on society beyond the track.
We are looking for a Data Analyst to join our IT department. Reporting into our IT Systems Manager, this role will maintain, develop and optimise data enterprise solutions. Supporting the data lifecycle, including data ingestion, modelling and reporting across the IT Systems.
Main Duties And Responsibilities
- Support data activities, data integration, warehousing and business intelligence
- Maintain and develop data ingestion processes using ELT methodologies
- Design and build scalable data pipelines and orchestration workflows
- Support data loading and change data capture processes
- Monitor data quality, integrity and performance across data platforms
- Maintain medallion architecture layers in a data lake to manage structured and semi-structured data
- Apply data modelling best practices to support enterprise reporting and analytics
- Building data transformation logic and identifying opportunities to improve data quality, usability and accessibility
- Collaborate with business stakeholders to understand analytical requirements and translate into technical solutions
- Creating and maintaining documents for IT systems and assist building on the documentation process within the department
- Drive innovation in IT, reviewing current technology offerings and identifying improvements within department responsibilities
- Manage projects through lifecycle, ensuring deadlines are met and stakeholders engaged throughout
- Implementing new solutions and providing training to other technology teams including full documentation and walkthroughs
- Ensure compliance with relevant regulations and standards, such as GDPR, ISO 27001, SOX and organisational security policies
- Respond in a flexible and adaptive manner to supporting business requirements, when ad hoc requests are made
- Troubleshooting and resolving data issues from a helpdesk and ensuring these are managed through our incident management processes
- Performing security tests and ensure system integrity to maintain a secure IT operating environment for the business
- Produce root cause analysis reports in case of failures and issues and work alongside problem management processes
- Be available to work on IT systems outside of usual 'Business Hours', both planned and unplanned
- Travel when required to Formula 1's business sites and partners' premises
- Keep abreast of developments in the IT Industry and consider proactively how these may be incorporated into the IT Systems Applications
What Are We Looking For?
Personal Qualities
- Proficient communication skills with the ability to convey ideas clearly and confidently
- Experienced documentation and organisational skills
- Highly motivated and well-structured in managing tasks
- Positive, adaptable, and flexible when faced with challenges
- Proactive, with a solution-oriented mindset
Experience
- Proven experience in data activities
- Experience with Microsoft Fabric including Data Factory, OneLake, Spark
- Knowledge of DataFrames, Partitioning, Performance Tuning, Notebook Development, Spark SQL, Delta Tables, Data Modelling, Semantic Models
- Good customer service, communication and team working skills
Some desirable experience that you may bring to the role
- Microsoft Power BI
- Microsoft Azure Data Factory
- Promotion & Release Management, CI/CD pipelines, Git-based Integration
- Experience working in a global organisation across different time zones
- Experience working within the sports / entertainment industries and working with major events
Qualifications
- You will need to have a current UK driving license in this role.
- Not essential to be successful in the role but you may also have the following qualifications:
- Degree, HND/C in IT related Subject or Industry recognised
- Certifications in relevant subject categories. Database Specialty or equivalent cloud certifications
Career Progression - Where Can You Go Next?
From this position, your next step could be into the role of Senior Data Analyst.
Why join the force behind the sport?
Joining F1 means becoming part of a team that values innovation, collaboration and personal growth. We offer a dynamic work environment where ideas are heard, and employee contributions truly make an impact. We seek to recruit, develop, and retain the most talented people to play their role in accelerating the future of the sport. As a member of the F1 team, you will be able to access our amazing benefits:
- Private Healthcare scheme
- Dental Care
- 4 x Grand Prix Paddock passes per season
- Enhanced maternity/paternity leave and other family planning policies
- A free staff shuttle service running to and from surrounding train stations near to Biggin Hill
- Free healthy snacks in our offices
- Subsidised canteen in Biggin Hill, serving breakfast and lunch
- 25 days annual leave and 8 Bank Holiday days, plus a Christmas period closure
- Opportunities to develop and request training for your role via our in-house Learning and Development team
- Discount on F1 merchandise
- Discount at F1's experiences including F1 Arcade and F1 Drive
- Perkbox benefit portal and more
Recruitment Fraud Warning: We only communicate with candidates through official @f1.com email addresses. We will never contact you via personal email accounts, messaging apps, or request payment as part of our recruitment process. If you receive suspicious communication claiming to be from our talent team, please report it to recruitment@f1.com.
Data Analyst in Biggin Hill employer: Formula 1
Formula 1 is an exceptional employer, offering a dynamic work environment in the heart of the UK's motorsport industry. With a strong emphasis on employee growth and development, we provide opportunities for our team members to enhance their skills while working alongside some of the brightest minds in the field. Our collaborative culture fosters innovation and creativity, making it a truly rewarding place to contribute to the thrilling world of racing.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Biggin Hill
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Formula 1!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Formula 1.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Formula 1.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Formula 1, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst in Biggin Hill
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Formula 1, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Formula 1. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Formula 1
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Formula 1!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
