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