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