At a Glance
- Tasks: Join a dynamic team to analyse data and enhance customer success strategies.
- Company: Global SaaS leader with an award-winning work environment.
- Benefits: Enjoy hybrid working, a long contract, and potential for extension.
- Other info: Collaborate with cross-functional teams and leverage Gen AI tools.
- Why this job: Make a real impact on customer experiences using cutting-edge analytics.
- Qualifications: 8+ years in Data Analytics, SQL proficiency, and strong communication skills.
The predicted salary is between 59400 - 72600 £ 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-dive 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.
Data Analyst - Customer Success in London employer: Executive Facilities Careers
Join an award-winning law firm that values your expertise and offers a dynamic work environment in the heart of the real estate sector. With a strong focus on employee growth, you will have access to comprehensive benefits, flexible working arrangements, and the opportunity to make a significant impact on the firm's success while enjoying a competitive salary and generous bonuses. This is not just a job; it's a chance to thrive in a supportive culture that encourages professional development and collaboration.
Contact Details:
Executive Facilities Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Customer Success in London
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We think you need these skills to ace Data Analyst - Customer Success in London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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