Data Analyst - Customer Success

Salary: £32,500 - 33,800 per year Requirements: • 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 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. Technologies: • AI • Big Data • Databricks • ETL • Support • Machine Learning • Python • Qlik • SQL • Snowflake • Spark • Tableau More: We are a global SaaS client seeking an experienced Data Analyst to join our Global Customer Success Data Science Team on a 10-month contract. You will help improve how we measure and deliver customer success, driving impact across Customer Experience, Digital Experience, Service Delivery, and Supportability. We partner closely with cross-functional teams to ensure data informs strategy, enhances customer journeys, and scales operational excellence. We offer an award-winning work environment, hybrid working, and a long contract with potential to extend. last updated 38 week of 2026