I'm a Senior Data Analyst with 7+ years of experience building analytics systems that actually get used — production pipelines, causal measurement frameworks, and dashboards that drive real decisions, not just reporting for reporting's sake.
My day-to-day lives in BigQuery and SQL. I design data models, write Dataform transformations, build Streamlit dashboards deployed on Cloud Run, and integrate data across Salesforce, Shopify, and Five9. I'm comfortable owning the full stack from raw source to the number a VP acts on.
The work I'm most proud of sits at the intersection of analytics and statistics. I've built randomized experiment frameworks for outbound campaigns — audience segmentation, frequency capping, pacing, deterministic A/B splits — and measured their impact using causal inference methods (IV-2SLS) to separate real lift from noise. That kind of work is what keeps me engaged: where the methodology matters as much as the tooling.
I hold an MSc in Business Analytics from INCAE and I'm based in Honduras, working 100% remote with US companies. I'm looking for senior analytics roles where the data is complex, the stakeholders are demanding, and the analysis actually changes something.
