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
Rate:
Not specified
Location:
London
IR35 Status:
Not specified
Remote Status:
Hybrid
Industry:
Data & Analytics
Seniority Level:
Senior