Lead Business Intelligence Analyst
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Role details
Tech stack
Job 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
Requirements
- 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
About the company
They are a well-established international organisation with a strong reputation within their sector and a growing commitment to data-driven decision making. Data sits at the heart of their strategy, supporting product development, commercial performance, and operational effectiveness. With a collaborative data team and investment in modern analytics platforms, they are building a scalable, governed, and future-focused data environment.
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