Financial Consultant - Data Processing (Quality Assurance)
Budget: $10 – $30 USD
I need a professional with expertise in financial data processing and forecasting. The task involves working primarily with future projections of various financial metrics, including revenue, expenses, profit margin, and DCF valuation.
Key Responsibilities:
- Monitor & Review to Process future financial projections
- Conduct analysis on revenue, expenses, and profit margin Programming & Automation Process
- Conduct DCF Valuation assessments
Preferred Methods:
- Trend analysis
- Discounted Cash Flow (DCF) Valuation
- Technical Analysis
Ideal Skills and Experience:
- Proficient in trend and technical analysis
- Expertise in DCF valuation
- Previous experience in financial data processing
- Strong analytical skills
- Attention to detail
The project is about ensuring the quality of data automation processing flow is running well. Basically, we have a bunch of python and google app script codes that are processing an automation in Google sheets and eventually will be presented in our website. Those codes may need to be updated and maintain because sometimes it's broken due to old version no longer running so then we are not getting the final data processed result in our website.
So your job will be checking the data presented in our website and then if it's broken/flawed and are misrepresenting the data properly then you give a report to me for our developers to fix it and patch up the codes.
For each 5 Bug/Flaws/Error, we will pay you $5.
For example,
Go to this Bug list Gsheet and read the Instruction Illustration, For QA Finance Modeling Analyst QA Expert:
https://docs.google.com/spreadsheets/d/11CVtDn6fRipBhXEvpwyRZBMIGZ552OfjpjmeQkG9bp4/edit?gid=786112538#gid=786112538
Once you have viewed the illustration video,
Then go to our website www.im-aam.com and find any miss represented data like 'N/A' and/or wrong data, for example, for stock name AMZN but the price is showing way too different like $50 vs than the actual price $192 or maybe the P/E ratio is 200 instead the actual 34 etc.
So you can check the actual price by going to the data processing google sheet like (Gsheet global index2) or financial websites source.
Key Responsibilities:
- Monitor & Review to Process future financial projections
- Conduct analysis on revenue, expenses, and profit margin Programming & Automation Process
- Conduct DCF Valuation assessments
Preferred Methods:
- Trend analysis
- Discounted Cash Flow (DCF) Valuation
- Technical Analysis
Ideal Skills and Experience:
- Proficient in trend and technical analysis
- Expertise in DCF valuation
- Previous experience in financial data processing
- Strong analytical skills
- Attention to detail
The project is about ensuring the quality of data automation processing flow is running well. Basically, we have a bunch of python and google app script codes that are processing an automation in Google sheets and eventually will be presented in our website. Those codes may need to be updated and maintain because sometimes it's broken due to old version no longer running so then we are not getting the final data processed result in our website.
So your job will be checking the data presented in our website and then if it's broken/flawed and are misrepresenting the data properly then you give a report to me for our developers to fix it and patch up the codes.
For each 5 Bug/Flaws/Error, we will pay you $5.
For example,
Go to this Bug list Gsheet and read the Instruction Illustration, For QA Finance Modeling Analyst QA Expert:
https://docs.google.com/spreadsheets/d/11CVtDn6fRipBhXEvpwyRZBMIGZ552OfjpjmeQkG9bp4/edit?gid=786112538#gid=786112538
Once you have viewed the illustration video,
Then go to our website www.im-aam.com and find any miss represented data like 'N/A' and/or wrong data, for example, for stock name AMZN but the price is showing way too different like $50 vs than the actual price $192 or maybe the P/E ratio is 200 instead the actual 34 etc.
So you can check the actual price by going to the data processing google sheet like (Gsheet global index2) or financial websites source.