From Excel Hell to Python Heaven: Automating Weekly Financial Reports
Stop copy-pasting data. Discover how we reduced a 10-hour weekly reporting process to a 30-second script using Python and n8n.
"Excel Hell" is a real place, and many financial analysts live there. Spending hours every week downloading CSVs, copy-pasting columns, and fixing broken VLOOKUPs is not just boring—it's a waste of valuable talent.
The Challenge
One of our clients, a mid-sized asset manager, had a senior analyst spending every Monday compiling a "Weekly Market Overview." The process involved logging into 5 different portals, downloading reports, and merging them into a master Excel sheet. It took 10 hours every week. That's 500 hours a year—over 3 months of full-time work!
The Solution: Python + n8n
We automated this entire workflow using a simple Python script orchestrated by n8n:
- Fetch: The script uses `requests` to authenticate and download data from the 5 portals automatically.
- Clean: `pandas` cleans the data, handles missing values, and standardizes formats.
- Merge: The datasets are merged based on common keys (ISINs/Tickers).
- Report: The final dataset is exported to a formatted Excel file and emailed to the team via n8n.
The Outcome
The 10-hour process now takes 30 seconds to run. The analyst has reclaimed their Mondays to focus on actual analysis and strategy, adding significantly more value to the firm than manual data entry ever could.