Data Analyst

Data Analyst - SQL - Tableau - Python - Customer Success - London - Hybrid • 9 Month Initial Contract • Hybrid Working - 3 Days per week in the office • Location - London • Day Rate - Up to £300 per day Inside IR35 This role is critical in addressing analytics gaps by enabling actionable insights, automating dashboards, and ensuring consistent, reliable data foundations. Key Responsibilities: • Building robust data foundations • Build data capabilities that work consistently across multiple regions and countries • Automate recurring reporting and validation processes to increase accuracy and efficiency • Developing actionable dashboards & reporting • Conduct root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies. • Translate findings into actionable recommendations that improve customer journeys, optimize staffing and routing decisions, and reduce escalations. • Enabling experimentation & continuous improvement Key Skills/Experience: • 5+ 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