Data Analyst

This role will play a central part in analysing performance and client KPI data that spans multiple operating systems, ensuring visibility, accuracy and insight across the organisation. The successful candidate will support better decision-making by turning complex, multi-source data into clear and meaningful intelligence. The position offers a broad remit with the opportunity to influence analytical approaches, data solutions and the development of scalable data products. Working closely with account teams, operational teams and central functions, the Lead Data Analyst will help drive continuous improvement and optimise performance through robust analysis and reporting., + Clean, transform and validate data to ensure accuracy, completeness and consistency across multiple data sources.

• Identify, investigate and resolve data quality issues in collaboration with data owners and stakeholders.
• Apply analytical techniques to uncover trends, patterns and relationships that support business decision-making.
• Design and deliver clear, compelling dashboards and reports using tools such as Tableau, Power BI or Excel.
• Engage with business leaders, operational teams and clients to gather requirements and translate them into actionable analytical outputs.
• Ensure adherence to data governance standards, including documentation, data lineage, security and compliance requirements.
• Track performance metrics and KPIs, highlighting opportunities for optimisation, automation and continuous improvement.
• Support the development and maintenance of data models and data products in partnership with Data Engineers and the wider data team.

• Proven experience using Tableau for data analysis and visualisation.
• Experience using Power BI for dashboarding and reporting (desirable).
• Strong experience working within complex business structures and across multiple operating systems.
• Demonstrable ability to work with large data volumes and extract meaningful insights.
• Proficiency in SQL, including writing queries, joining tables and optimising performance.
• Strong stakeholder management skills, with the ability to communicate technical concepts to non-technical audiences.
• Good awareness of data governance, data quality standards, data lineage, security and compliance.
• Strong analytical thinking, attention to detail, root-cause analysis skills and sound business acumen.