Excel Data Compilation of Metal and Mining Firms
Budget: $50 – $250 USD
I'm in need of a comprehensive excel sheet containing over 500 companies in the metals and mining sector. The project is focused on excluding gold and silver companies and targeting firms located outside of the Asia Pacific region.
Key Requirements:
- Breakdown by Region: North America, Africa, United Kingdom, Rest of Europe, South America, and the Middle East.
- Company Specifics: For each company, the sheet should include the company name, headquarters location, and market cap.
- Commodity Classification: The primary and secondary commodities for each company should also be identified.
- Multiple sheets, that break down in various ways, from commodities to regions.
- Market Capitalization: Market caps should be listed as actual values in USD. If not available, still include the company.
- Don’t include companies based in Asia pacific , so therefore don’t add Australian companies.
Ideal Skills and Experience:
- Proficiency in data collection and Excel
- Experience in the metals and mining industry
- Ability to categorize and sort data efficiently
- Attention to detail to ensure accuracy and comprehensiveness of the data.
Key Requirements:
- Breakdown by Region: North America, Africa, United Kingdom, Rest of Europe, South America, and the Middle East.
- Company Specifics: For each company, the sheet should include the company name, headquarters location, and market cap.
- Commodity Classification: The primary and secondary commodities for each company should also be identified.
- Multiple sheets, that break down in various ways, from commodities to regions.
- Market Capitalization: Market caps should be listed as actual values in USD. If not available, still include the company.
- Don’t include companies based in Asia pacific , so therefore don’t add Australian companies.
Ideal Skills and Experience:
- Proficiency in data collection and Excel
- Experience in the metals and mining industry
- Ability to categorize and sort data efficiently
- Attention to detail to ensure accuracy and comprehensiveness of the data.