At a Glance
- Tasks: Join our Data & Analytics team to drive growth through insightful data analysis and reporting.
- Company: Rapha is a leading cycling brand dedicated to creating exceptional experiences for cyclists.
- Benefits: Enjoy flexible hours, generous leave, health plans, and discounts on cycling gear.
- Other info: Collaborate across teams and help shape strategies that influence key business decisions.
- Why this job: Make a real impact in a fast-paced environment while working with a passionate team.
- Qualifications: Experience with Power BI, SQL, and cloud data platforms is essential; Python skills are a bonus.
The predicted salary is between 36000 - 60000 £ per year.
Location: Rapha Service Course, Archway
Reports To: Head of Data & Analytics
Department: Data & Analytics
The Role
We’re looking for a commercially minded Senior Analyst to join our Data & Analytics team and play a key role in driving our ambition as a data driven organisation. Our central D&A team is critical to the next phase of Rapha’s growth, and an area of significant planned investment.
This isn’t just about pulling data. You’ll partner with the business to uncover what matters, curate the story behind the numbers, and work across teams to help build strategies that drive growth. From providing actionable and insightful dashboards, to producing major reviews to support strategic decisions, this role has the scope to impact everything we do at Rapha.
You’ll be asking the right questions, answering them, spotting patterns, challenging assumptions, and pushing us to think differently. Not only that but you will need the experience to map these business challenges to the data, technology and processes that can help solve them. We are ambitious in our use of AI and will expect you to look for opportunities to integrate AI tools into your workflow and deliverables.
This is a brilliant opportunity for someone who loves cycling through data (pun intended), knows how to turn insight into action, and wants to make a real impact in a fast-moving global business, with a brand people genuinely love.
What You’ll Do
Own and evolve reporting across all of Rapha’s KPI’s. You will be responsible for improving our 80 Reports, 30 data models and growing our 10,000 report views a month.
Partner with teams across the business to enable them to enable them to monitor and drive insights from their KPIs, helping them to self serve and make data driven decisions
Analyse the performance of disparate areas of the business and provide accountability on KPIs
Support our evolution of the data platform, helping to monitor and enhance the current platform and feeding in to the requirements and development of its replacement.
Analyse retention and loyalty patterns across customer segments to identify drivers of repeat purchase, high-LTV behaviour, and churn risk — using this insight to shape loyalty programme strategy and CRM targeting.
Collaborate closely with teams across Finance, Supply Chain, Creative, and Retail to align insight with action and keep performance sharp
Ad-hoc support with major strategic decisions and investments across all areas of our business
Work closely with Digital and Tech to shape the development roadmaps and ensure that data is mastered, curated and quality controlled across all areas of the business
What You’ll Need
It is essential you have demonstrable business experience delivering results with Power BI therefore strong knowledge of DAX is required
We are also reviewing our use of Looker Studio and therefore candidates who have also used Looker and LookML will be preferred.
Expert level hands-on experience pulling and manipulating data using SQL or similar
Experience with modern cloud data platforms such as BigQuery, Fabric, Snowflake
Strong grasp of ETL/ELT principles, patterns and best practices
Understanding of data modelling, Kimball Star schema principles and how to map business processes to data architecture
Bonus points for proficiency in Python , particularly for data wrangling with pandas, automating workflows, or developing custom analytics scripts and models
Strong Excel / Google Sheets skills for quick analysis and sharing insights
A proactive mindset, you don’t wait to be asked, you spot what needs attention and get stuck in
The ability to turn complex data into clear insights and compelling stories that influence decisions
Commercial awareness and strategic thinking — you know when to zoom in on detail and when to pull back to the bigger picture
Ability to translate complex data into actionable insight and communicate it clearly
Comfortable building reports, dashboards, and frameworks from scratch
Strong stakeholder skills — confident working cross-functionally and collaborating with non-data teams
Experience in a retail, fashion , or a consumer brand environment
Working at Rapha
We are continuously looking into ways to invest in our employees and build a better working culture and environment. Here are just some of the internal benefits we offer:
- Flexible working hours
- Support for ad-hoc remote working during the week - minimum 4 days in office
- 25 days annual leave
- 2 additional days paid time off to participate in a sportive or similar related cycling event
- A flexible riding benefit to allow you to go out riding on a Wednesday morning with colleagues or learn to cycle to cycling through our Getting Started Scheme
- An annual clothing allowance of £1,120 for testing and promotional purpose
- A company bonus scheme
- A health cash plan provided by Healthshield worth up to £1405 per year
- Mental health support with MyndUp
- Free barista coffee and social drinks in the office
- Subsidised lunches 3 days per week
- Monthly department social events and quarterly office social away days
- Bike racing expenses up to £35 per race entry
- A 50% staff discount and a discount for family and friends
- Industry discounts on brands such as Patagonia, Osprey, Finisterre, Wahoo
- Free membership to the Rapha Cycling Club
- Cycle2Work scheme
- Company Pension Scheme
- Enhanced Parental Leave and Pay
Senior Data Analyst Service Course, London employer: Rapha
At Rapha, we pride ourselves on being an exceptional employer that champions a vibrant work culture and prioritises employee well-being. Located in the heart of London, our Service Course offers flexible working hours, generous annual leave, and unique cycling benefits that reflect our passion for the sport. With a strong focus on professional growth and collaboration across teams, this is an exciting opportunity for a Senior Data Analyst to make a meaningful impact in a dynamic, data-driven environment.
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We think this is how you could land Senior Data Analyst Service Course, London
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We think you need these skills to ace Senior Data Analyst Service Course, London
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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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Rapha. 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!
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✨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!
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✨Get Comfortable with Python and R
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✨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.
