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For Companies At a Glance
- Tasks: Build data foundations, automate reporting, and deliver deep-dive analytics to enhance customer experience.
- 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 and improving customer outcomes 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 folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, dashboards, and any A/B tests you've analysed. This will give potential employers a taste of what you can do and how you can drive customer success.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data visualisation tools. Be ready to discuss your experience with big data platforms and how you've used data to influence decisions in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst - Customer Success
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience in data analytics, especially within Customer Success or Operations. We want to see how your skills align with what we’re looking for!
Showcase Your Skills: Don’t forget to showcase your SQL skills and any experience with data visualisation tools like Tableau or Qlik. We love seeing practical examples of how you’ve used these tools to drive insights and improve customer outcomes.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us your story! Explain why you’re passionate about data and how you can contribute to our Customer Success team. Make it personal and engaging – we want to get to know you!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!
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 with data visualisation tools like Tableau or Qlik. You might even be asked to solve a problem on the spot, so practice common SQL queries and visualisation techniques to impress them.
✨Communicate Like a Pro
Since storytelling with data is crucial for this role, practice explaining complex data insights in simple terms. Think of ways to convey your findings to both technical and non-technical audiences. This will highlight your communication skills and ability to influence strategy.
✨Show Your Analytical Mindset
Be ready to discuss how you've approached A/B testing or identified performance trends in the past. Share specific examples of how your analytical mindset led to actionable recommendations that improved customer outcomes. This will demonstrate your proactive approach and strategic thinking.