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- Tasks: Build data foundations, automate reporting, and deliver deep-dive analytics to enhance customer success.
- Company: Join a global Customer Success Data Science team making a real impact.
- Benefits: Competitive daily rate, hybrid work model, and opportunity for professional growth.
- Why this job: Make a difference by driving insights that improve customer experiences across international markets.
- Qualifications: 8+ years in Data Analytics, strong SQL skills, and proficiency in data visualisation tools.
- Other info: Dynamic role with a proactive mindset needed for strategic and tactical balance.
The predicted salary is between 60000 - 90000 £ per year.
Data Analyst – £285/day | 10-Month Contract | Hybrid (London)
We’re looking for an experienced Data Analyst to join a global Customer Success Data Science team, working on initiatives that enhance customer experience and operational excellence across international markets.
This is an exciting opportunity to make a real impact by building data foundations, enabling actionable insights, and driving automation across multiple regions. You’ll collaborate closely with cross-functional teams to ensure data drives strategy, informs decision-making, and helps deliver exceptional customer outcomes.
What You’ll Do
- Build strong data foundations: Develop pipelines, improve data integrity, and establish clear metric definitions and governance across multiple international markets.
- Automate and streamline reporting: Create scalable dashboards and reporting tools that deliver timely, accurate insights for business and customer success teams.
- Deliver deep-dive analytics: Identify root causes of performance trends, customer pain points, and operational inefficiencies, turning insights into actionable recommendations.
- Support experimentation: Analyse A/B tests and digital experience initiatives to measure impact and inform continuous improvement.
- Tell the story with data: Communicate insights effectively to both technical and non-technical audiences, influencing strategy and driving better decisions.
What We’re Looking For
- 8+ years of experience in Data Analytics or Data Science, ideally within Customer Success, Operations, or Digital Experience domains.
- Strong SQL skills for data extraction, transformation, and pipeline development.
- Proficiency with data visualization tools (Tableau, Qlik, or similar).
- Experience with big data platforms (Snowflake, Databricks, Spark) and ETL processes.
- Working knowledge of Python or R for analytics or automation (preferred).
- Understanding of statistical methods and A/B testing.
- Excellent storytelling and communication skills to translate data into actionable insights.
- Experience with contact centre or digital support metrics is a plus.
- A proactive, growth-oriented mindset with the ability to balance strategic and tactical priorities.
Details
💼 Contract: 10 months
💰 Rate: £285/day Inside IR35
📍 Location: London (3 days per week in office, 2 days remote)
Data Analyst - Customer Success employer: RedCat Digital
Contact Detail:
RedCat Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Customer Success
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. Be ready to explain how your data insights have driven decisions in past roles. We want to see how you can turn numbers into narratives that resonate with both technical and non-technical folks.
✨Tip Number 3
Showcase your skills with a portfolio! Create a few case studies or projects that highlight your SQL prowess, data visualisation skills, and any automation work you've done. This will give us a tangible sense of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and making an impact in Customer Success.
We think you need these skills to ace Data Analyst - Customer Success
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in Data Analytics, especially in Customer Success or Operations. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've used SQL, data visualisation tools, or Python in your previous roles. This helps us see your practical experience and how you can contribute.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell your story. Explain why you're passionate about data and how you can make an impact at StudySmarter. We love seeing enthusiasm and a proactive mindset!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss any important updates from us. Plus, it’s super easy!
How to prepare for a job interview at RedCat Digital
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and experiences related to data analytics. Be ready to discuss specific examples where you built data foundations or automated reporting. This will show your expertise and how you can bring value to their Customer Success team.
✨Master SQL and Visualisation Tools
Brush up on your SQL skills and be prepared to demonstrate your proficiency during the interview. Familiarise yourself with data visualisation tools like Tableau or Qlik, as you might be asked to explain how you've used them to create impactful dashboards in the past.
✨Communicate Like a Pro
Practice telling the story behind your data. Think about how you can translate complex insights into simple, actionable recommendations. Being able to communicate effectively with both technical and non-technical audiences is key, so prepare some examples of how you've done this before.
✨Show Your Growth Mindset
During the interview, highlight your proactive approach and willingness to learn. Discuss any experiences where you balanced strategic and tactical priorities, especially in relation to customer success or operational excellence. This will resonate well with their focus on continuous improvement.