Diego Spamer
@diegospamer
Senior analytics and data strategy leader driving ML-enabled insights and commercial impact across LATAM.
What I'm looking for
I am a senior analytics and data strategy leader with 13+ years turning complex data into executive insights and scalable solutions. I build analytics infrastructure, establish data governance, and translate technical outputs into commercial action.
At Diageo I led outlet classification across 10k+ stores and regional analytics unification, designing SQL/Python pipelines and recommending interventions that projected ~20% revenue uplift. I also owned analytics infrastructure across 10+ LATAM markets with zero data downtime and reduced request fulfillment time by 35%.
During an 11-year tenure at NBC Universal I developed ML forecasting models (10–14% error) for an $80M+ film slate, automated ETL and reporting to cut delivery time by 40%, and evolved NLP sentiment analysis to produce weekly confidence tracking from 10k+ feedback items. I launched the 'Data for Breakfast' executive narrative to improve forecasting confidence and decision velocity.
I teach analytics and mentor professionals and students, focusing on practical SQL, Python, and decision-support. I seek senior roles where technical depth meets business influence and where I can scale data products that unlock revenue and operational efficiency.
Experience
Work history, roles, and key accomplishments
Guest Instructor
Universidad Nacional Autónoma de México
Aug 2025 - Present (7 months)
Teach analytics, decision support systems, and data applications to professionals; mentor students on practical SQL, Python, and data-driven problem solving for Industry 4.0 contexts.
Analytics & Insights Operations Lead
Diageo
Jul 2024 - Jun 2026 (1 year 11 months)
Spearheaded LATAM outlet classification and analytics unification across 5 clusters (10k+ stores), projecting ~20% revenue uplift through targeted interventions and ensuring zero data downtime across markets.
Data Strategy & Business Intelligence Leader
NBC Universal
Jul 2013 - May 2024 (10 years 10 months)
Built forecasting and BI capabilities for LATAM, engineering ML forecasting (10-14% error) for an $80M+ film slate and launching 'Data for Breakfast' to synthesize insights for senior leadership.
Education
Degrees, certifications, and relevant coursework
Universidad Nacional Autónoma de México
Industrial Engineer, Industrial Engineering
Completed studies in Industrial Engineering at the Universidad Nacional Autónoma de México focused on engineering principles applied to industrial and systems contexts.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
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