About Me
Data Analyst specialising in operational analytics and customer behaviour, with 2+ years turning messy, large-scale datasets into decisions that stick. Known for building dashboards that flag problems before they escalat…
Data Analyst specialising in operational analytics and customer behaviour, with 2+ years turning messy, large-scale datasets into decisions that stick. Known for building dashboards that flag problems before they escalate, and for finding the inefficiencies others miss, contributing up to a 10% reduction in project costs across roles. Comfortable across the full analytics stack: SQL, Python (Pandas, NumPy), Power BI, and Excel, with a track record of making reporting faster, cleaner, and more reliable.
Experience
Data Analyst
Analyse operational and project data, including task timelines, cost records, and resource allocation, to support performance tracking and management reporting. Used SQL and Power BI to examine turnaround times, task completion rates, and cost patterns, surfacing actionable insights for stakeholders. Design and maintain dashboards to monitor operational performance and flag workflow bottlenecks in real time. Clean and validate datasets by resolving missing values, duplicates, and formatting inconsistencies, improving overall reporting accuracy. Identified inefficiencies in task allocation and workflows, contributing to a 10% reduction in project costs.
Junior Data Analyst
Cleaned and validated datasets using Excel and Power BI, ensuring consistent and accurate data before analysis. Applied data modelling techniques in Power BI to structure datasets for reliable, consistent reporting. Explored datasets to identify trends, patterns, and outliers using Excel and Power BI, helping uncover insights from the data. Presented analysis findings using simple visuals and clear explanations, making insights easy to understand for non-technical stakeholders.
Data Analyst Intern
Cleaned and structured 2,000+ weekly operational records using SQL and Excel, resolving duplicates and inconsistent formatting to ensure data integrity. Built Power BI dashboards using star schema modelling and DAX measures to track the full task lifecycle from assignment through to completion. Analysed operational data to pinpoint delays in task completion and cost inefficiencies across workflows, delivering targeted recommendations. Performed data validation checks (null values, duplicates, and referential integrity) to improve KPI reporting reliability. Automated weekly reporting using Excel Power Query, reducing manual effort by 3+ hours per week.