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# Business Intelligence Consultant

- **Company:** SThree Plc
- **Location:** Cambridge, UK
- **Salary:** £117,000.0 - £143,000.0
- **Contract:** Temporary contract
- **Skills:** Data Analysis, Data Architecture, Data Visualization, Data Pipelines
- **Published:** August 26, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=4d736776a498b6aa

## About the Role

* Bachelor's degree in Business or related discipline
 * Demonstrated experience in data requirements gathering and stakeholder engagement
 * Working knowledge of data quality analysis and pipeline alignment
 * Ability to communicate data concepts clearly to both technical and non-technical audiences
 * Proficiency in at least one BI platform or data visualisation tool
 * Strong analytical and problem-solving mindset
 * Attention to detail and structured approach to documentation

What roles of this type could offer

Most roles of this type offer the following, dependent on the industry and seniority of the role

## Description

Roles of this type typically sit within fast-moving business environments where data quality, stakeholder alignment and strategic insight drive delivery. As a Business Intelligence Consultant, you could work on engagements that require you to gather data requirements, analyse data quality, align pipelines with business objectives and engage stakeholders to unlock value from their data assets. The work could involve partnering across technical teams, business leaders and data consumers to translate ambition into measurable impact.

What you would do

Typical responsibilities could include:

 * Gathering and documenting data requirements from business stakeholders
 * Analysing data quality and identifying gaps or inconsistencies in existing pipelines
 * Aligning data pipelines with business objectives and operational needs
 * Engaging stakeholders throughout the data lifecycle to ensure outcomes meet user expectations
 * Supporting the design and validation of BI solutions and reporting frameworks
 * Documenting data processes, lineage and quality standards for team reference
 * Collaborating with technical teams to translate business needs into data architecture recommendations