Data Analyst - Customer Success
Data Analyst - Customer Success

Data Analyst - Customer Success

Woking Temporary 60000 - 90000 ÂŁ / year (est.) Home office (partial)
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RedCat Digital

At a Glance

  • 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 ÂŁ 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

đź’Ľ Contract: 10 months

đź’° Rate: ÂŁ285/day Inside IR35

📍 Location: London (3 days per week in office, 2 days remote)

Data Analyst - Customer Success employer: RedCat Digital

Join a dynamic and innovative team as a Data Analyst in London, where you'll have the opportunity to make a significant impact on customer success through data-driven insights. Our hybrid work culture promotes flexibility and collaboration, allowing you to thrive in a supportive environment that values professional growth and development. With competitive rates and a focus on enhancing customer experiences across international markets, this role offers a unique chance to contribute to meaningful projects while advancing your career.
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

Show off your skills! Create a portfolio showcasing your data projects, dashboards, and any A/B tests you've conducted. This will give you an edge and help you tell your story with data during interviews.

✨Tip Number 3

Prepare for those interviews! Research the company’s customer success initiatives and think about how your experience aligns with their goals. Be ready to discuss how you can enhance their data foundations and drive actionable insights.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.

We think you need these skills to ace Data Analyst - Customer Success

Data Analytics
SQL
Data Visualization
Tableau
Qlik
Big Data Platforms
Snowflake
Databricks
Spark
ETL Processes
Python
R
Statistical Methods
A/B Testing
Communication Skills

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 and data visualisation skills! Mention any tools you’ve used like Tableau or Qlik, and if you’ve worked with big data platforms, let us know. This is your chance to shine!

Craft a Compelling Cover Letter: Your cover letter should tell a story about your journey in data analytics. Explain how your experience can help us enhance customer experience and operational excellence. Make it engaging and personal!

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 get to know you better. Don’t miss out on this opportunity!

How to prepare for a job interview at RedCat Digital

✨Know Your Data Inside Out

Make sure you’re well-versed in the data tools and techniques mentioned in the job description. Brush up on your SQL skills and be ready to discuss how you've used data visualisation tools like Tableau or Qlik in past projects. Being able to talk confidently about your experience with big data platforms will definitely impress.

✨Prepare for Scenario-Based Questions

Expect questions that ask you to solve real-world problems using data. Think of examples where you've identified performance trends or customer pain points and how you turned those insights into actionable recommendations. Practising these scenarios will help you articulate your thought process clearly.

✨Showcase Your Storytelling Skills

Since communication is key, prepare to explain complex data insights in a way that’s easy to understand for both technical and non-technical audiences. Use examples from your previous roles where you successfully influenced strategy through your storytelling. This will demonstrate your ability to drive better decisions.

✨Demonstrate a Growth Mindset

Be ready to discuss how you approach learning and adapting in your role. Share instances where you’ve proactively sought out new skills or tackled challenges in your work. This aligns perfectly with the proactive, growth-oriented mindset they’re looking for, showing that you can balance strategic and tactical priorities effectively.

Data Analyst - Customer Success
RedCat Digital
Location: Woking
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