At a Glance
- Tasks: Analyse data to enhance customer success and improve digital experiences.
- Company: Award-winning SaaS organisation with a focus on innovation.
- Benefits: Long contract, hybrid work, and free breakfast.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
- Why this job: Make a real impact in customer experience while working with cutting-edge data tools.
- Qualifications: 8+ years in Data Analytics, SQL proficiency, and dashboarding skills.
The predicted salary is between 48000 - 72000 £ per year.
Our Global SaaS client is now seeking an experienced Data Analyst to join their Global Customer Success Data Science Team for a 10-month contract.
You’ll play a pivotal role in improving how they measure and deliver customer success, driving impact across Customer Experience, Digital Experience, Service Delivery, and Supportability. You will partner closely with cross-functional teams, and ensure that data informs strategy, enhances customer journeys, and scales operational excellence.
Key Responsibilities
- Building robust data foundations: Collaborate with engineering to develop pipelines, improve data integrity, and establish clear metric definitions and governance tailored for international markets.
- Developing actionable dashboards & reporting: Create and maintain scalable, user-friendly dashboards that provide visibility into key performance metrics and think broadly across the end-to‑end customer journey.
- Delivering deep‑div analytics: Conduct root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies and translate findings into actionable recommendations that improve customer journeys.
- Advancing AI-native analytics: Leverage Gen AI tools to automate recurring insight generation, support AI-powered summarization and anomaly detection, and identify opportunities to replace manual workflows with intelligent automation — helping the team move faster and deliver more scalable, proactive insights.
- Enabling experimentation & continuous improvement: Support A/B testing and digital experience evaluations by analysing performance outcomes and quantifying customer and business impact.
- Influencing strategy through storytelling: Communicate insights and trends clearly and persuasively to technical and non-technical stakeholders, ensuring alignment on decisions that improve customer experience, digital adoption, operational performance, and supportability.
Skills
- 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 support preferred
- Knowledge of statistical methods and experimentation (A/B testing) preferred
- Machine learning and Generative AI experience is a plus
- A genuine enthusiasm for Gen AI and a growth mindset toward how emerging tools can accelerate analytical work
- Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences
Benefits
- Award winning work environment
- Hybrid working
- Long contract with potential to extend
#J-18808-Ljbffr
Data Analyst - Customer Success employer: EF Recruitment
Join a dynamic global SaaS company that values its employees and fosters a supportive work culture. With a hybrid working model based in the heart of London, you will enjoy the flexibility of working three days a week in the office while being part of a friendly team dedicated to professional growth and collaboration. This role offers unique opportunities for career advancement within a leading organisation, making it an excellent choice for those seeking meaningful and rewarding employment.
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 your connections in the industry, especially those who work in Customer Success or Data Analytics. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by brushing up on your SQL skills and dashboarding tools. We recommend creating a portfolio showcasing your best data visualisations and analytics projects. This will help you stand out and show off your expertise!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you, and tailor your approach to each one. It’s all about quality over quantity!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the role and the company. Let’s make sure they remember you!
We think you need these skills to ace Data Analyst - Customer Success
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Data Analytics, especially in Customer Success and Operations. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a personal touch, so let your personality come through.
Showcase Your Technical Skills:Since this role requires proficiency in SQL and experience with dashboarding tools, make sure to mention specific projects where you’ve used these skills. We’re keen to see how you’ve applied your technical know-how in real-world scenarios!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at EF Recruitment
✨Know Your Data Tools
Make sure you brush up on your SQL skills and be ready to discuss how you've used it in past roles. Familiarity with dashboarding tools like Tableau or Qlik is crucial, so have examples of your work ready to share.
✨Showcase Customer Success Impact
Prepare to talk about specific instances where your data analysis directly improved customer success or experience. Use metrics and outcomes to illustrate your impact—numbers speak volumes!
✨Familiarise with Big Data Concepts
Since the role involves big data tools like Snowflake and Databricks, make sure you understand their functionalities. Be ready to discuss any relevant projects where you’ve utilised these technologies.
✨Prepare for Technical Questions
Expect technical questions related to data analytics and statistical methods. Brush up on A/B testing and machine learning concepts, as they might come up. Practising common interview questions can help you feel more confident.
