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# Lead Business Intelligence Analyst

- **Company:** Harnham
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £50,000.0 - £60,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Cloud Computing, Information Engineering, Data Governance, Database Queries, Performance Tuning, Cloud Services, SQL Databases, Tableau (Software), Data Layers, Tools for Reporting
- **Published:** August 14, 2026
- **Apply:** https://www.reed.co.uk/jobs/lead-business-intelligence-analyst/57239343

## About the Role

* Strong commercial experience with Tableau, including dashboard development, data source development, and Tableau Prep
 * Experience delivering end-to-end BI solutions rather than focusing solely on front-end reporting
 * Strong SQL skills, including complex querying, table creation, and performance optimisation
 * Experience improving, scaling, or maturing a Tableau environment
 * Understanding of data modelling, governance, and BI best practices
 * Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
 * Experience working with cloud data platforms, migrations, or analytics modernisation programmes is advantageous
 * Exposure to Tableau administration, performance tuning, and self-service analytics initiatives would be beneficial

## Description

As a Lead Business Intelligence Analyst, you will act as the technical lead for Tableau across the organisation, driving standards, governance, and platform maturity., * Leading end-to-end Tableau development across Tableau Desktop, Tableau Prep, and Tableau Cloud

 * Designing and maintaining scalable data sources, semantic layers, and reporting solutions
 * Defining and embedding Tableau development best practices across the business
 * Building high-quality dashboards that deliver actionable business insights
 * Writing and optimising SQL across cloud and enterprise data environments
 * Supporting and enabling business users with self-service analytics capabilities
 * Owning BI governance, data quality frameworks, and reporting standards
 * Acting as the escalation point for complex BI and reporting challenges
 * Partnering with data engineering teams on architecture, modelling, and performance optimisation
 * Contributing to a major cloud migration programme and helping modernise the wider analytics ecosystem


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