Weather Impact Analysis on Consumer Brands
Budget: $30 – $250 USD
I'm seeking a data analyst to examine how weather patterns over the last five years have influenced the sales and Market share of my consumer brand across 25 districts. ( Category Analysis and Brand Analysis need to be done separately )
Key Outputs:
-How do temperature, humidity, and rainfall correlate with sales performance across different categories?
What are the peak and off-peak sales months for each category based on weather patterns nationally and in District level?
Does weather influence market share shifts? (e.g., Does a competitor gain share in certain weather conditions?)
Are there specific months where sales performance is highly correlated with weather patterns? ( By Category and by District)
Do coastal vs. inland areas show different sales trends due to weather variations?
Output has to be in Power BI dashboard
Ideal Skills:
- Proficient in data analysis tools (Python, R, Excel, etc.)
- Strong understanding of statistical methods and forecasting.
- Experience with retail or consumer brand analysis is a plus.
The primary focus of this project is to discern trends from the analysis. Insights gleaned from this could potentially inform future marketing strategies.
The final deliverable should include an interactive dashboard to present the findings.
Key Outputs:
-How do temperature, humidity, and rainfall correlate with sales performance across different categories?
What are the peak and off-peak sales months for each category based on weather patterns nationally and in District level?
Does weather influence market share shifts? (e.g., Does a competitor gain share in certain weather conditions?)
Are there specific months where sales performance is highly correlated with weather patterns? ( By Category and by District)
Do coastal vs. inland areas show different sales trends due to weather variations?
Output has to be in Power BI dashboard
Ideal Skills:
- Proficient in data analysis tools (Python, R, Excel, etc.)
- Strong understanding of statistical methods and forecasting.
- Experience with retail or consumer brand analysis is a plus.
The primary focus of this project is to discern trends from the analysis. Insights gleaned from this could potentially inform future marketing strategies.
The final deliverable should include an interactive dashboard to present the findings.