Amazon Sales Forecasting Power BI Dashboard
Budget: ₹600 – ₹1,500 INR
I'm seeking an experienced data analyst and Power BI expert to develop a comprehensive dashboard for forecasting my Amazon sales. The dashboard should utilize time series analysis and historical data, employing statistical techniques like exponential smoothing for improved prediction accuracy.
Key Responsibilities:
- Create a Power BI dashboard that accurately forecasts Amazon sales.
- Implement time series analysis and historical data in the forecasting model.
- Utilize statistical techniques (e.g., exponential smoothing) to enhance sales prediction accuracy.
Ideal Skills:
- Proficiency in Power BI.
- Strong understanding of time series analysis.
- Experience with statistical techniques for sales forecasting.
Please note, I have not specified particular aspects of my sales data for forecasting, nor have I predetermined which time series analysis techniques or sales data metrics to use. Hence, I am open to suggestions and your expertise in these areas will be greatly valued. If you can clean and preprocess the sales data using Python (NumPy, Pandas) to ensure its quality, that would be a plus. I would also appreciate visualizations of trends using Matplotlib and Seaborn, providing insights for sales and inventory optimization.
Key Responsibilities:
- Create a Power BI dashboard that accurately forecasts Amazon sales.
- Implement time series analysis and historical data in the forecasting model.
- Utilize statistical techniques (e.g., exponential smoothing) to enhance sales prediction accuracy.
Ideal Skills:
- Proficiency in Power BI.
- Strong understanding of time series analysis.
- Experience with statistical techniques for sales forecasting.
Please note, I have not specified particular aspects of my sales data for forecasting, nor have I predetermined which time series analysis techniques or sales data metrics to use. Hence, I am open to suggestions and your expertise in these areas will be greatly valued. If you can clean and preprocess the sales data using Python (NumPy, Pandas) to ensure its quality, that would be a plus. I would also appreciate visualizations of trends using Matplotlib and Seaborn, providing insights for sales and inventory optimization.