PwC Czech Republic

I worked at PwC Czech Republic as a data analyst on engagements where trusting the numbers mattered - large datasets, real P&Ls, and questions audit teams actually need answered.

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. See PwC Audit Analytics for the highlight. 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.

OICT (Prague municipal technology)

Alongside PwC, I built operational analytics for OICT - Prague's municipal technology organization - including smart waste-management reporting used by city stakeholders. Public-sector pace, messy field data, and audiences who need clarity rather than raw tables. A different rhythm from audit work, but the same job: make numbers trustworthy enough to act on.

PwC was where I learned that data work in the wild is messy labels and clean questions - and that stakeholders need clarity they can act on, not raw tables.