Key Achievements:

• Developed dashboards and reporting tools that reduced data analysis time by 40%.

• Identified actionable insights from business data, contributing to £200,000 / $250,000 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.