Business Intelligence Analyst
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Role details
Tech stack
Job description
Our client is looking for a commercially minded Business Intelligence Analyst to develop reporting capabilities and turn complex data into meaningful business insights.
This is an exciting opportunity to support a growing organisation by delivering high-quality dashboards, improving data processes and helping senior stakeholders make informed, data-driven decisions.
Working closely with teams across Finance, Operations, Marketing and senior management, you will develop scalable reporting solutions, improve data quality and identify opportunities to drive business performance, efficiency and growth., * Design, develop and maintain interactive dashboards and reports using Microsoft Power BI.
- Build and maintain data models, reporting solutions and Azure-based data pipelines.
- Automate ETL processes and manual reporting activities to improve efficiency.
- Analyse commercial performance, pricing, forecasting and business growth opportunities.
- Work with stakeholders across departments to understand reporting requirements and deliver actionable insights.
- Maintain data accuracy, consistency, governance and reporting standards.
- Promote self-service analytics and support colleagues in using business intelligence tools.
- Lead reporting improvements and contribute to the development of the organisation’s data strategy.
- Explore emerging technologies, including Microsoft Fabric and AI, to enhance analytical capabilities.
Requirements
- Proven experience in Business Intelligence, data analytics or a similar analytical role.
- Strong experience developing Power BI reports, dashboards and data models.
- Knowledge of Microsoft Azure and data pipeline development.
- Strong commercial awareness and the ability to translate data into practical recommendations.
- Experience working with senior stakeholders and gathering requirements across multiple departments.
- Excellent analytical, problem-solving and organisational skills.
- Strong communication skills, with the ability to present findings to technical and non-technical audiences.
- A proactive and curious approach, with the confidence to challenge assumptions and identify opportunities.
- Understanding of data governance, data quality and reporting best practices.
- A collaborative mindset and the ability to take ownership in a growing business.
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Prepare application
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