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
<p>Analyse operational and project data, including task timelines, cost records, and resource allocation, to support performance tracking and management reporting.</p><p> Used SQL and Power BI to examine turnaround times, task completion rates, and cost patterns, surfacing actionable insights for stakeholders.</p><p> Design and maintain dashboards to monitor operational performance and flag workflow bottlenecks in real time.</p><p> Clean and validate datasets by resolving missing values, duplicates, and formatting inconsistencies, improving overall reporting accuracy.</p><p> Identified inefficiencies in task allocation and workflows, contributing to a 10% reduction in project costs.</p>
Junior Data Analyst
<p>Cleaned and validated datasets using Excel and Power BI, ensuring consistent and accurate data before analysis.</p><p> Applied data modelling techniques in Power BI to structure datasets for reliable, consistent reporting.</p><p> Explored datasets to identify trends, patterns, and outliers using Excel and Power BI, helping uncover insights from the data.</p><p> Presented analysis findings using simple visuals and clear explanations, making insights easy to understand for non-technical stakeholders.</p>
Data Analyst Intern
<p>Cleaned and structured 2,000+ weekly operational records using SQL and Excel, resolving duplicates and inconsistent formatting to ensure data integrity.</p><p> Built Power BI dashboards using star schema modelling and DAX measures to track the full task lifecycle from assignment through to completion.</p><p> Analysed operational data to pinpoint delays in task completion and cost inefficiencies across workflows, delivering targeted recommendations.</p><p> Performed data validation checks (null values, duplicates, and referential integrity) to improve KPI reporting reliability.</p><p> Automated weekly reporting using Excel Power Query, reducing manual effort by 3+ hours per week.</p>