Chioma Hanachor
Data Analyst turning data into actionable business insights.
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- Followers
Created a Global Sales Performance Dashboard in Excel to analyse sales, profit, and business performance across different regions, product categories, and sales channels.
The dashboard combines key business metrics and visualisations to highlight regional performance, compare online and offline sales channels, and identify areas generating strong or weak sales and profitability. Interactive filters allow users to explore the data and uncover insights that can support informed business decisions and improve sales strategies.
Tools Used: Microsoft Excel, PivotTables, PivotCharts, and Slicers.
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Developed an interactive Regional Performance Dashboard in Power BI to analyze sales and profitability across different regions and cities.
The dashboard compares regional sales and profit performance, helping identify high-performing and underperforming locations. Interactive filters and slicers allow users to explore business performance across geographical areas and other relevant categories, making it easier to identify regional strengths, areas for improvement, and potential opportunities for business growth.
Tools Used: Power BI, Power Query, DAX, and Excel.
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Developed an interactive Product Performance Dashboard in Power BI to analyse sales and profitability across different product categories and sub-categories.
The dashboard helps identify top-performing and low-performing products by comparing their sales and profit contributions. Interactive filters and slicers allow users to explore product performance across different categories and sub-categories, making it easier to identify profitable products, areas for improvement, and opportunities to support better business decisions.
Tools Used: Power BI, Power Query, DAX, and Excel.
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Developed an interactive Customer Analysis Dashboard in Power BI to explore customer purchasing behaviour and understand how different customer segments contribute to business performance.
The dashboard analyses which age groups place the most orders, where these customers are located, and how customer gender relates to discounts received and profit generated. Interactive filters allow users to explore customer data and identify patterns that can support better customer-focused business decisions.
Tools Used: Power BI, Power Query, DAX, and Excel.
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