For most companies, all their data science fits in excel easily. Full transaction history with each individual item sold since founding the company? No problem. Every single visitor/page view on their website? I've seen such logs imported to excel to do some rough aggregation. Manufacturing data about each particular widget sub-part that ever went off your conveyor belt? Again, for many companies with hundreds of employees that would still fit in excel without issues.
There are so many companies who speak about big data while their largest datasets can fit into RAM of a cheap laptop. That doesn't mean that data science and analysis is worthless to them, quite contrary.
Not that it matters. "Data science" is not something that magically kicks in after you go beyond some "big data" threshold.
Excel is heavily used in managerial science type of positions and I can assure you those are rather heavy on the "data science" workflows.
[0] https://support.office.com/en-us/article/Excel-specification...
Nothing beats Excel + Power BI in reporting.
With finance there's a lot of things that seem like good fits, but only if you keep them small. Something like a personal budget is fine, where everything fits on a screen.