At a Glance
- Tasks: Transform data reporting and build actionable dashboards to enhance customer success.
- Company: Join a global SaaS leader with a friendly and supportive team culture.
- Benefits: Enjoy a hybrid role, informal dress code, and opportunities for growth.
- Other info: Collaborate across regions and influence strategy through compelling storytelling.
- Why this job: Make a real impact on customer journeys while leveraging cutting-edge analytics tools.
- Qualifications: 8+ years in Data Analytics, proficiency in SQL, and experience with dashboarding tools.
The predicted salary is between 60000 - 80000 £ per year.
Our global SaaS Client are now seeking a Data Analyst to join their team with a focus on customer retention. This role is a unique opportunity to transform reporting, build behavioural analytics, and work across the whole ecosystem lifecycle. This is a hybrid role (2/3 days week) for 4 months with potential to extend.
Responsibilities
- Building robust data foundations: Collaborate with engineering to develop pipelines, improve data integrity, and establish clear metric definitions.
- Build data capabilities that work consistently across multiple regions and countries.
- Developing actionable dashboards & reporting: Create and maintain scalable, user-friendly dashboards that provide visibility into key performance metrics.
- Delivering deep-dive analytics: Conduct root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies.
- Translate findings into actionable recommendations that improve customer journeys, optimize staffing and routing decisions, and reduce escalations.
- Advancing AI-native analytics: Leverage Gen AI tools to automate recurring insight generation.
- Enabling experimentation & continuous improvement: Support A/B testing and digital experience evaluations.
- Influencing strategy through storytelling: Communicate insights and trends clearly and persuasively to technical and non-technical stakeholders.
Experience
- 8+ years of experience in Data Analytics or Data Science, ideally with exposure to Customer Success, Operations, or Digital Experience domains.
- Proficiency in SQL for data extraction, transformation, and pipeline development.
- Experience with dashboarding and visualization tools (Tableau, Qlik, or similar).
- Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes.
- Experience with Python or R for advanced analytics, automation, or experimentation.
- Knowledge of statistical methods and experimentation (A/B testing) preferred.
- Machine learning and Generative AI experience is a plus.
- Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences.
- Proactive and growth-oriented mindset—you identify opportunities for innovation rather than just responding to problems.
Benefits
- Friendly supportive team.
- Informal dress code.
- Global organisation.
- Hybrid role.
Data Analyst - Customer Success in London employer: EF Recruitment
Join a global SaaS leader as a Data Analyst in Customer Success, where you'll thrive in a supportive and friendly team environment. Enjoy the flexibility of a hybrid work model while leveraging your expertise to drive customer retention through innovative data solutions. With opportunities for professional growth and a culture that values creativity and collaboration, this role offers a meaningful chance to make a significant impact across multiple regions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Customer Success in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 analytics projects, dashboards, and any cool insights you've generated. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions and scenarios. Think about how you can demonstrate your problem-solving skills and your ability to communicate complex findings clearly.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Analyst - Customer Success in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Analyst in Customer Success. Highlight your experience with data analytics, customer retention, and any relevant tools like SQL or Tableau. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of how you've used data to drive customer success and improve processes. Keep it engaging and let your personality shine through!
Showcase Your Analytical Skills:In your application, don’t just list your skills—show us how you’ve applied them! Whether it's building dashboards or conducting deep-dive analytics, give us concrete examples that demonstrate your expertise and impact.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy—just follow the prompts and submit your materials!
How to prepare for a job interview at EF Recruitment
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with the dashboarding tools mentioned in the job description, like Tableau or Qlik. Be ready to discuss how you've used these tools in past roles to create impactful reports or dashboards.
✨Showcase Your Analytical Mindset
Prepare examples of how you've conducted root cause analyses in previous positions. Think about specific instances where your insights led to actionable recommendations that improved customer experiences or operational efficiencies.
✨Communicate Like a Pro
Practice explaining complex data findings in simple terms. You’ll need to convey insights to both technical and non-technical stakeholders, so think of ways to tell a compelling story with your data that highlights its relevance to customer success.
✨Embrace Continuous Improvement
Be ready to discuss your experience with A/B testing and how you've contributed to ongoing improvements in digital experiences. Highlight any innovative approaches you've taken to enhance customer journeys or operational processes.
