Business Intelligence Consultant

Roles of this type sit within data-driven organisations that are building or scaling their analytics capabilities. You could work alongside cross-functional teams to understand data requirements, ensure data quality, align pipelines with business priorities, and engage stakeholders throughout the analytics lifecycle. The work could involve bridging the gap between technical data teams and business users, helping to shape how data flows through the organisation and how insights are delivered to those who need them., * Supporting the alignment of data pipelines with business priorities and use cases

• Conducting data quality analysis to identify gaps, inconsistencies or improvement opportunities
• Engaging stakeholders across the business to understand analytics needs and translate them into technical specifications
• Collaborating with data engineers and analytics teams to ensure solutions meet business objectives
• Presenting findings and recommendations to both technical and non-technical audiences
• Contributing to the development of analytics standards and best practices, Most roles of this type offer the following, dependent on the industry and seniority of the role:
• Opportunity to work with organisations at the forefront of data-driven transformation
• Exposure to diverse industries and business challenges
• Potential to develop expertise in analytics, data architecture and stakeholder engagement
• Flexibility and autonomy in how you approach analytics challenges
• Contract-based engagement with a daily rate of £450-550, offering flexibility and clear commercial terms
• Professional development opportunities through exposure to evolving BI tools and methodologies

• Bachelor’s degree in Business, Data Science, Analytics or a related field
• Demonstrable experience in data requirements gathering and stakeholder engagement
• Working knowledge of data quality assessment and pipeline evaluation
• Ability to translate business questions into data requirements
• Strong communication skills, with the ability to work across technical and non-technical teams
• Familiarity with common BI tools, SQL or data visualisation platforms
• Analytical mindset with attention to detail and problem-solving approach

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