Summary
Noemi Ramiro is a Marketing Data Engineer with a decade of hands-on experience turning complex marketing and product data into actionable insights across influencer marketing, e-commerce, and retail. She has built end-to-end analytics ecosystems—designing dbt and BigQuery models, automating ad-data pipelines, and authoring LookML/Looker dashboards—that empower both internal teams and external clients to make data-driven decisions. Her background as a statistician (Master of Statistics) and experience leading analytics teams enable her to blend rigorous modeling (predictive engagement, LTV, churn) with practical reporting and data engineering. She has a strong consulting streak, having delivered bespoke analytics for DTC brands and marketplaces while mentoring aspiring data practitioners. Notably, she pioneered adoption of dbt and Fivetran in production analytics workflows at Obviously, improving efficiency and reproducibility. Based in Florida, she pairs methodological depth with product-minded execution to drive measurable business impact.
10 years of coding experience
8 years of employment as a software developer
Colegio de San Pedro
Master of Statistics, Master of Statistics at University of the Philippines Diliman
Data Scientist Nanodegree, Data Scientist Nanodegree at Udacity