Data Analyst - Customer Success

Our Global SaaS client is seeking an experienced Senior Data Analyst to join their Global Customer Success Data Science Team on a 9-month contract, supporting international markets and driving measurable impact across Customer Experience, Digital Experience, Service Delivery, and Supportability. You’ll partner with cross-functional teams to strengthen data foundations, enhance customer journeys, and accelerate AI-native analytics across the organisation. This role requires you to have a consultative and strategic approach.

Key Responsibilities Build robust data foundations Develop pipelines, improve data integrity, and define metrics/governance tailored for international markets. Develop actionable dashboards & reporting Create scalable, user-friendly dashboards that connect insights across the full customer journey. Deliver deep-dive analytics Conduct root-cause analysis to uncover customer pain points, digital adoption challenges, and operational inefficiencies. Provide clear, actionable recommendations. Advance AI-native analytics Use Gen AI tools for automated insight generation, summarisation, anomaly detection, and workflow optimisation.

Support experimentation & continuous improvement Analyse A/B tests and digital experience performance, quantifying customer and business impact. Influence strategy through storytelling Present insights clearly to technical and non-technical stakeholders, shaping decisions that improve customer experience and operational performance. Skills & Experience 8 years in Data Analytics or Data Science (Customer Success, Operations, or Digital Experience ideal) Strong SQL skills; experience with Snowflake, Databricks, Spark Dashboarding expertise (Tableau, Qlik, or similar) Python or R for analytics/automation (preferred) Knowledge of statistical methods and A/B testing

Experience with ML or Generative AI (advantageous) Strong communication and data storytelling capability Growth mindset with genuine enthusiasm for Gen AI Benefits Award-winning work environment Hybrid working Long contract with potential extension