Data Analyst - SQL - Tableau - Python - Customer Success - London - Hybrid
Posted 3 days ago by Nexere Consulting Limited
£300 Per day
Inside
Hybrid
London, UK
Summary: The Data Analyst role focuses on bridging analytics gaps by providing actionable insights, automating dashboards, and ensuring reliable data foundations. This position requires a blend of technical skills in SQL, Tableau, and Python, along with experience in customer success and operational analytics. The role is based in London and offers a hybrid working arrangement. It is a 9-month initial contract with a day rate of up to £300, classified as inside IR35.
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:
- 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
Salary: £300 per day
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
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