SQL and Python Combined Change RevOps

Are you tired of feeling like a data janitor or an ASAP report builder instead of a valuable RevOps strategist?

For 15 years, I've lived and breathed operations.

From the trenches of finance to the fast-paced world of tech, I've seen it all. I've wrestled with spreadsheets, built dashboards that would make your head spin, and chased down data across a dozen different systems. And through it all, one thing has become crystal clear: the key to truly mastering Revenue Operations lies in harnessing the combined power of SQL and Python.

Let's face it, the life of a RevOps professional isn't always glamorous. We're often drowning in data, battling siloed systems, and struggling to extract meaningful insights.

We're the ones tasked with answering the tough questions: "What's our customer acquisition cost?", "Which marketing campaigns are actually driving revenue?", "Why is our churn rate creeping up?" But with the right tools, we can break free from these limitations and become true strategic …