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.