Analytics Engineer Data Scientist Marketing Analytics

I build the data behind marketing decisions — and I spent five years on the other side of the table, as the person making them.

For four years I ran advertising at AMZ Advisers. I founded the department, built it into an 11-person team, and managed an 8-figure Amazon portfolio of 100+ seller accounts across the US, Canada, Mexico and the EU, growing sales 30%+ year over year. I designed incrementality tests — branded-search holdouts and geo splits — to separate the sales our spend actually drove from demand we would have captured anyway, and I built the Python ETL and automated account audits that made that scale possible. That tooling is how I ended up on the engineering side of the data.

Today I work as an analytics engineer in dbt, BigQuery, SQL and Python. Most recently I built an IIoT pipeline that ingests MQTT sensor telemetry into star-schema models with automated testing, feeding B2B reporting on plant performance and predictive maintenance. I've also built a Bayesian marketing mix model with Google Meridian.

Earlier, as a Data Strategist at Snowball Partners, I combined paid-media performance with organic search signals for mid-market sellers.

I'm an Industrial Engineer (UBA), trilingual in Spanish, English and German (German Abitur), and I'm looking for remote roles in marketing and growth analytics or analytics engineering — ideally at ecommerce, DTC, marketplace or adtech companies.