Ecommerce Sales Analysis Using Advanced Excel Readme Md At Main

Leo Migdal

-Nov 18, 2025, 8:08 AM

ecommerce sales analysis using advanced excel readme md at main

There was an error while loading. Please reload this page. Just a moment while we crunch the numbers for your portfolio analytics... As a recent graduate with a strong analytical mindset and a keen eye for detail, I am eager to kickstart my career as a Data Analyst. Proficient in Python, SQL, MySQL, MS Excel, Power BI, NumPy and Pandas Ecommerce Sales Analysis Dashboard Using MS Excel

The eCommerce Sales Dashboard is a comprehensive tool designed to provide insightful analysis and visualization of sales data for an online retail platform. Created using advanced Excel functionalities, this dashboard serves as a crucial asset for tracking, analyzing, and optimizing sales performance. The eCommerce Sales Dashboard is a powerful tool that consolidates sales data, enhances analysis, and supports strategic decision-making. By leveraging advanced Excel features, this dashboard provides valuable insights that drive business growth and operational efficiency. Business Intelligence Developer | Data Analyst | SQL Developer | Power BI & Excel Reporting | Turning Data into Insights 🚀 Excited to share my latest Excel Dashboard Project — FreshMart Sales Insights Dashboard!

The focus of this project was to take raw data from FreshMart Store and transform it into an interactive, insight-driven tool that helps decision-makers analyze performance with just a few clicks. 🛠 Tools & Techniques in Excel: Power Query → Automated data cleaning & preprocessing Power Pivot → Data modeling & calculated measures Pivot Tables & Pivot Charts → Interactive, filter-responsive analysis GETPIVOTDATA → Dynamic... Delivery Time: 24.36 mins | On-Time Rate: 76.08% • September Peak: 4,231 orders generating $1.213M • Organic channel drove most sales 🧠 This project strengthened my Excel modeling, data storytelling, and KPI design skills... 🔗 Explore full project on Github : https://lnkd.in/g6kxKiBf #ExcelDashboard #DataAnalytics #DataVisualization #ExcelSkills #PortfolioProject #Analytics #BusinessIntelligence #Excel #PowerQuery #PowerPivot #DataAnalytics #DataAnalysis #SalesAnalytics #DashboardDesign #InteractiveDashboard #ExcelCommunity #ExcelTips #DataVisualization #DataDriven #DataStorytelling #MicrosoftExcel #AnalyticsDashboard #Reporting #BI #ExcelProjects #DataModelling... Experienced Audit and Banking Professional | Transitioning into Data Analytics to Power Business Growth 🚀 Blinkit Sales & Regional Performance Dashboard – Power BI Project Thrilled to share my latest Power BI dashboard designed to analyze Blinkit’s sales performance across outlets, regions, and product categories.

🔍 Project Overview: This dashboard provides a centralized view of KPIs — Total Sales, Average Sales, Ratings, and Item Counts — helping management make data-driven decisions. It explores performance variations across outlet tiers, establishment years, and item attributes like fat content and product type. 💡 Tech Stack Used: Power BI Desktop | Power Query (M Language) | DAX | CSV/Excel | Git & Git LFS 📊 Dashboard Highlights: $96.3K Total Sales | 3.3 Avg. Rating | 35 Items Outlet Size & Tier Insights: Tier 1 outlets lead with $96K in total sales Sales Trend Analysis: Peaks in 2015 & 2021 Top Categories: Snacks, Soft Drinks & Breakfast items... 💻 Explore More: 🔗 View Dashboard: https://lnkd.in/g8VHDiUe 💻 GitHub Repository: https://lnkd.in/gm83gxHW 🌐 Portfolio: https://lnkd.in/gMqdrHWT Would love your thoughts or suggestions to make it even better! 🙌 #PowerBI #DataAnalytics #DashboardDesign #Blinkit #BusinessIntelligence #MicrosoftPowerBI #DataVisualization #AnalyticsProject #GitHubProjects #Portfolio #DataDriven

Aspiring Data Analyst | Data Science | B.Tech | Python | SQL • Tableau • R • Excel | EventScape @ GDGoC IPSA | Google Cloud Arcade | Author @ Guru Shishya Publications |... There was an error while loading. Please reload this page. In the fast-moving world of online fashion retail, every sale, discount, and return provides valuable insight into customer behavior and business performance. However, managing these data points manually can become overwhelming. That’s why the Fashion E-commerce Dashboard in Excel is the perfect solution.

This ready-to-use Excel dashboard allows fashion brands and e-commerce businesses to monitor performance, analyze trends, and make data-driven decisions — all within a simple, interactive interface. Click to Purchases Fashion E-commerce Dashboard in Excel A Fashion E-commerce Dashboard in Excel is a pre-built data analysis tool designed to consolidate your key e-commerce metrics into one organized, visual file. It helps business owners track sales, profit, discount percentages, return rates, delivery status, and customer satisfaction in real time. By using this Excel dashboard, you can stop guessing and start making decisions backed by numbers. The dashboard uses automated charts, slicers, and dropdowns to help you explore performance by brand, payment method, or region — without needing any complex software or coding skills.

Optimize online retail performance with comprehensive sales analytics, conversion tracking, customer behavior analysis, and e-commerce KPI monitoring for data-driven growth. E-commerce success depends on understanding customer behavior, optimizing conversion rates, and maximizing revenue per visitor. Our E-commerce Analytics Dashboard provides comprehensive tools to track all critical metrics from traffic to transactions for data-driven retail optimization. From conversion funnel analysis to customer lifetime value, monitor every aspect of your online retail performance. Built for e-commerce managers, digital marketers, and business owners, this template helps you increase sales, reduce cart abandonment, and improve customer retention. Track total revenue, average order value (AOV), and sales growth across different time periods.

Analyze revenue by product categories, customer segments, and marketing channels. Monitor conversion rates from traffic to sales with detailed funnel analysis. Track micro-conversions including product views, add-to-cart rates, and checkout completion rates. In this project, I conducted a comprehensive analysis of eCommerce sales data to uncover key trends and insights. Using Advanced Excel techniques, I organized and processed large datasets, implementing functions such as VLOOKUP, INDEX-MATCH, and PivotTables to efficiently analyze sales patterns. The project involved:

Data Cleaning: Removed duplicates, handled missing values, and standardized formats to ensure data integrity. Sales Trends Analysis: Created dynamic charts and graphs to visualize monthly, quarterly, and yearly sales trends. Customer Segmentation: Used formulas to categorize customers based on purchasing behavior and frequency. Performance Metrics: Calculated key performance indicators (KPIs) like average order value, customer lifetime value, and return rates. There was an error while loading. Please reload this page.

Ecommerce Sales Analysis Using Advanced Excel Readme Md At Main

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Aspiring Data Analyst | Data Science | B.Tech | Python