About this role
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 domainsProficiency in SQL for data extraction, transformation, and pipeline developmentExperience with dashboarding and visualization tools (Tableau, Qlik, or similar)Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processesExperience with Python or R for advanced analytics, automation, or experimentation support preferredKnowledge of statistical methods and experimentation (A/B testing) preferredMachine learning and Generative AI experience is a plusA genuine enthusiasm for Gen AI and a growth mindset toward how emerging tools can accelerate analytical workProven 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: AIBig DataDatabricksETLSupportMachine LearningPythonQlikSQLSnowflakeSparkTableau 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 36 week of 2026