Business Sales Performance Analytics
🔍 About the Task
In this real-world internship task, you will work with business sales data to perform the kind of analysis that data analysts do for real companies, startups, and agencies.
Your goal is not just to create charts, but to help a business answer important questions such as:
- Which products generate the most revenue?
- How do sales change over time?
- Which categories or regions are most profitable?
- Where should the business focus to grow faster?
This task is designed so that even beginners can start, while still being valuable in real job and freelance scenarios.
You do not need advanced coding skills.
You need curiosity, logical thinking, and willingness to learn analytics tools
✅ What You’ll Do
During this task, you will:
- Clean and organize raw sales data (Excel or CSV format)
- Analyze:
- Revenue trends over time
- Top-selling products
- High-value categories or regions
- Build a professional, client-ready dashboard or analysis report
- Write clear insights and recommendations as if you are advising a real business
🛠️ Tools You Can Use (Flexible)
You may use any one or a combination of the following tools:
- Power BI
- Tableau
- Microsoft Excel
- Python (optional, for advanced analysis)
There is no restriction on tools — just like real analyst roles.
🎯 Skills You’ll Gain
By completing this task, you will build practical skills such as:
- Data cleaning & preparation
- Business-focused KPI analysis
- Trend and performance analysis
- Insight generation and reporting
- Business storytelling using data
These are core skills required in analytics jobs and freelance projects.
📁 Datasets – Choose What Fits Your Learning
You may use any dataset that aligns with the task objective
(sales, revenue, products, categories, regions).
Recommended Beginner-Friendly Datasets
- 🛒 Online Retail Dataset (Kaggle)
https://www.kaggle.com/datasets/ulrikthygepedersen/online-retail-dataset
Real e-commerce transactions with product, quantity, and revenue data. - 🏬 Superstore Sales Dataset
https://www.kaggle.com/datasets/vivek468/superstore-dataset-final
Ideal for beginners — includes region, category, sales, and profit. - 📦 E-commerce Orders Dataset (Kaggle)
https://www.kaggle.com/datasets/carrie1/ecommerce-data
Good for analyzing order trends and category performance.
⚠️ You are not limited to these datasets.
You may use any public, private, simulated, or self-created dataset as long as it represents a real business sales scenario and aligns with this task.
💼 Real-World Tip (Very Important)
To get the maximum value from this task, don’t limit yourself to online datasets.
Look around you:
- A local shop
- A small online seller
- A service business tracking monthly revenue
Create this dashboard for them using sample or anonymized data.
This helps you:
- Think like a business consultant
- Build confidence working with real problems
- Create dashboards you can show to clients
- Learn how analytics can actually help you earn
Many of our interns and freelancers start exactly this way.
📤 Final Deliverable
You must submit:
- A client-ready dashboard or analysis report
- Clear business insights and actionable recommendations
- Your work documented properly (GitHub / dashboard link)
Your submission should look like something you would confidently show to:
- A business owner
- A startup founder
- An analytics client
📢 Showcase Your Work
Once you complete this task:
- Upload your project to a public GitHub repository with proper documentation (README, files, dashboard links).
- Share a professional post on LinkedIn highlighting:
- What problem you worked on
- Key insights or outcomes
- Tools used and learnings
Please tag and follow Future Interns on LinkedIn so your work can be recognized and shared:
👉 https://www.linkedin.com/company/future-interns/
Sharing your work publicly helps build a verifiable portfolio, increases professional visibility, and reflects real-world industry practice.