Key Achievements:
- Developed dashboards and reporting tools that reduced data analysis time by 40%.
- Identified actionable insights from business data, contributing to £200,000 in increased revenue.
- Streamlined data collection and ETL processes, improving data accuracy by 30%.
- Automated recurring reports, saving the team 10–15 hours per week.
- Supported cross-functional decision-making through data-driven insights, improving operational efficiency.
Duties & Responsibilities:
- Collect, clean, and analyse data from multiple business systems to provide actionable insights.
- Develop dashboards, reports, and visualisations for senior management and operational teams.
- Support strategic decision-making by identifying trends, anomalies, and opportunities in business data.
- Collaborate with IT, finance, operations, and marketing teams to understand data requirements.
- Implement ETL processes to consolidate and maintain accurate datasets.
- Create automated reporting processes to reduce manual intervention and errors.
- Conduct ad-hoc analyses to support business initiatives, projects, and presentations.
- Maintain documentation of BI processes, data sources, and analytical methodologies.
- Monitor KPIs and provide insights to drive performance improvements.
- Identify areas for process improvement and recommend data-driven solutions.
- Ensure data integrity, accuracy, and compliance with internal policies and regulatory requirements.
- Provide training and guidance to stakeholders on BI tools, dashboards, and reports.
- Assist in the selection and implementation of new BI tools and technologies.
- Analyse market, competitor, and customer data to support strategic planning.
- Collaborate with data engineers and IT teams to improve data quality and accessibility.
- Present insights and recommendations to senior management in a clear, actionable manner.
- Participate in continuous professional development (CPD) and BI tool training.
- Contribute to cross-functional projects and initiatives by providing analytical expertise.
- Maintain confidentiality and security of sensitive business and customer data.
- Support forecasting, budgeting, and business planning initiatives through data analysis.
What does a Business Intelligence Analyst do?
A Business Intelligence Analyst transforms business data into meaningful insights that support strategic decision-making. They analyse large datasets, create dashboards, identify trends and help organisations improve operational performance through data-driven recommendations.
What qualifications do you need to become a Business Intelligence Analyst?
Most employers look for a degree in finance, accounting, business analytics, data science or a related field. Experience with business intelligence tools such as Power BI, Tableau or SQL is highly desirable, alongside strong analytical skills.
What skills are important for a Business Intelligence Analyst?
Business Intelligence Analysts require advanced analytical thinking, problem-solving skills and attention to detail. Strong knowledge of Excel, Power BI, SQL and data visualisation tools is also essential, together with excellent communication skills.
What are the responsibilities of a Business Intelligence Analyst?
Responsibilities include analysing business data, creating dashboards, identifying trends, producing performance reports, supporting forecasting and helping senior management make informed commercial decisions.
What career progression is available for a Business Intelligence Analyst?
Business Intelligence Analysts commonly progress into Senior BI Analyst, Analytics Manager, Data Analytics Manager, Head of Business Intelligence or Finance Business Partner roles.