PwC Czech Republic

I worked at PwC Czech Republic as a data analyst in two halves that still show up in how I think about product: heavy quantitative work on real company data, and helping something new grow inside a big firm.

On audits, we were not sampling a few rows and calling it a day. The job was analyzing large volumes of data—the kind of work people label “big data” in practice—when you need to trust what you see in a client’s books. That meant running analysis over P&Ls, cash flow statements, and the rest of the financial picture while the engagement team was asking whether the numbers hang together.

The other half was helping scale an internal spinoff focused on document templating—automation for enterprise document templates so teams stop re-building the same Word or PowerPoint skeletons by hand. Less glamorous than audit analytics on paper, but closer to software: repeatable workflows, adoption inside large companies, and the friction of getting people to change how they produce documents.

PwC was where I learned that data work in the wild is messy labels and clean questions—and that “internal startup” energy exists even inside the Big Four, if you are willing to work on something that is not only the next audit file.

For dates and metrics, see the résumé.