Senior Data Analyst Service Course, London
Senior Data Analyst Service Course, London

Senior Data Analyst Service Course, London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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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.
  • 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.
  • Other info: Collaborate across teams and help shape strategies that influence key business decisions.

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

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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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Contact Detail:

Rapha Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Analyst Service Course, London

✨Tip Number 1

Familiarise yourself with Rapha's brand and values. Understanding their mission and how they position themselves in the cycling community will help you tailor your conversations and demonstrate your genuine interest in the company.

✨Tip Number 2

Network with current or former employees of Rapha, especially those in the Data & Analytics team. They can provide valuable insights into the company culture and expectations for the Senior Data Analyst role.

✨Tip Number 3

Prepare to discuss specific examples of how you've used Power BI and SQL in previous roles. Be ready to showcase your ability to turn complex data into actionable insights that drive business decisions.

✨Tip Number 4

Stay updated on the latest trends in data analytics and AI tools. Being able to discuss how you can integrate these technologies into your work will set you apart as a forward-thinking candidate.

We think you need these skills to ace Senior Data Analyst Service Course, London

Power BI
DAX
Looker Studio
LookML
SQL
BigQuery
Fabric
Snowflake
ETL/ELT principles
Data Modelling
Kimball Star Schema
Python
Pandas
Excel
Google Sheets
Analytical Skills
Commercial Awareness
Strategic Thinking
Stakeholder Management
Cross-Functional Collaboration
Data Storytelling

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience, especially with Power BI, SQL, and any cloud data platforms you've worked with. Use specific examples that demonstrate your ability to turn complex data into actionable insights.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data analytics and cycling. Discuss how your skills align with the role's requirements and how you can contribute to Rapha's growth as a data-driven organisation.

Showcase Your Analytical Skills: Provide examples of past projects where you've used data to drive business decisions. Highlight your experience with data modelling, ETL/ELT principles, and any tools like Looker Studio or Python that you've used to enhance your analysis.

Prepare for Potential Questions: Think about how you would approach common data challenges in a retail environment. Be ready to discuss how you would analyse customer retention patterns or improve reporting processes, as these are key aspects of the role.

How to prepare for a job interview at Rapha

✨Showcase Your Data Skills

Make sure to highlight your experience with Power BI and SQL during the interview. Be prepared to discuss specific projects where you've used these tools to drive insights and decisions, as this role heavily relies on them.

✨Understand the Business Context

Demonstrate your commercial awareness by discussing how data can influence business strategies. Be ready to provide examples of how you've turned complex data into actionable insights that have positively impacted a business.

✨Prepare for Cross-Functional Collaboration

Since this role involves working closely with various teams, think of examples where you've successfully collaborated with non-data teams. Highlight your stakeholder management skills and how you’ve communicated data insights effectively.

✨Embrace AI and Innovation

Given the emphasis on integrating AI tools, come prepared with ideas on how you could leverage AI in your work. Discuss any previous experiences where you've used innovative approaches to solve data challenges.

Senior Data Analyst Service Course, London
Rapha
Location: London
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