Most data analysts think in queries. I think in business outcomes first — then figure out what query gets us there.
That's the economist in me. And it's why the work tends to stick.
I have a degree in Business Economics with a minor in Data Analysis. I spent 5 years as the data and operations lead at a B2B financial services company with 400+ corporate clients.
During that time I built the systems that eliminated multi-day reconciliation meetings, automated critical reporting workflows, and contributed to $1.5M+ in net profit through upsell and cross-sell.
Before that, I worked in sales at a high-growth tech company. That background shaped how I think about data: not as an end in itself, but as the thing that drives commercial decisions.
Now I work independently with early-stage startups in the US — building the data layer that lets them scale without a full in-house team.
100% remote. Available ET hours. I work from wherever I am — no office politics, no overhead, full focus on your project.
I prioritize documentation and clean handoffs — so your team can understand, maintain, and build on what I deliver.
Every engagement is clearly scoped with defined deliverables and timelines. You know what you're getting and when it's done — before we start.
Book a 30-minute discovery call. We'll figure out exactly what you need — and whether I'm the right person to build it.