Analytics Engineer Data Scientist Marketing Analytics

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

I'm an Industrial Engineer working in analytics engineering: Python, dbt, and BigQuery, with star-schema modeling and automated testing. Most recently I built an IIoT pipeline ingesting MQTT sensor telemetry into models that surfaced plant performance and predictive maintenance signals for client-facing B2B reporting.

Before that I led the advertising department at AMZ Advisers, managing an 8-figure Amazon portfolio across four marketplaces with a team of 11. I built the internal ETL tooling and automated account audits that made that scale possible — which is how I ended up on the engineering side of the data in the first place.

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

I'm trilingual (Spanish, English, German — Goethe-Schule Abitur) and looking for analytics engineering and data roles in Europe or remote.

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Iván Dalesson

Expertise

MMM
Marketing Mix Modeling (MMM)
End-to-end MMM builds: adstock and Hill saturation transforms, OLS and Bayesian regression, sales decomposition by channel, response curves, and budget optimization. Privacy-safe by design.
Advertising Analytics
Advertising Analytics
Five years optimizing paid media across Amazon, Google, and Meta. ROAS, TACoS, ACoS analysis, keyword harvesting, wasted spend identification, and KPI framework design.
Data Pipelines
Analytics Engineering (dbt + BigQuery)
Python and dbt-based ETL pipelines: multi-source ingestion, anonymization, star-schema warehouse design (SQLite and BigQuery), automated data testing, and auto-generated documentation.
Machine Learning
Machine Learning & Data Analytics
Training and implementing ML models for classification, forecasting, and pattern detection. Creating dashboards and automating reports for data-driven decision-making.

Work Experience

Achievements Role Period
  • Designed and built an automated IIoT data pipeline in Python and dbt, ingesting real-time sensor telemetry via MQTT and API data to surface live plant performance metrics and predictive maintenance opportunities
  • Architected the data infrastructure for the company's industrial sensor initiative, implementing star-schema modeling and automated dbt testing to ensure high data reliability in client-facing B2B reporting
  • Processed and analyzed large volumes of time-series hardware data with SQL and Python, building scalable data models that surfaced operational anomalies and optimized inventory reorder points
Data & Analytics Engineer
Gaia Industries
2025 – Current Argentina Buenos Aires, Argentina
  • Owned the data and analytical systems behind an 8-figure portfolio across 100+ marketplace accounts (US, CA, MX, EU), delivering 30%+ YoY growth
  • Designed and built an internal ETL tool in Python ingesting Amazon Ads and Seller Central API data, automating account audits and surfacing prioritized opportunities
  • Processed and analyzed large volumes of campaign and sales data with Python and SQL to identify trends and resolve anomalies
  • Founded the advertising department from scratch: recruited and led an 11-person cross-cultural team across multiple time zones
  • Created KPI frameworks aligning team incentives with business outcomes
Director of Advertising & Analytics
AMZ Advisers
2021 – 2026 USA Connecticut, USA
  • Creation of advertising campaigns, strategies and processes
  • Integrated paid-media performance data with organic (SEO) signals to make decisions for a portfolio of mid-market sellers
  • Conducted root-cause analysis for campaign performance reports
Data Strategist
Snowball Partners
2020 Mexico Guadalajara, Mexico
  • B2C selling via social media, WhatsApp, phone and face to face
  • Copywriting and informal A/B testing on messaging
  • Systematized the lead-to-customer conversion funnel
Customer Acquisition
Uopak
2016 – 2017 Argentina Buenos Aires, Argentina

Education

Title Institution
Industrial Engineer
Universidad de Buenos Aires
Abitur (German High School Diploma)
Goethe-Schule

Languages

LanguageLevelCertification
SpanishNative
EnglishFluent / ProficientFirst Certificate (FCE)
GermanFluent / C1Goethe-Schule Abitur

My Portfolio

Visit My GitHub
Amazon Product Launch
Amazon Product Launch
Full Amazon product launch strategy. Market research, listing optimization, PPC campaign architecture, and launch analytics.
View Document
Ads Data Pipeline
Ads Data Pipeline
End-to-end ETL with Python + SQL. 4-source ingestion, anonymized star-schema SQLite warehouse, 5 analytical queries, and MMM layer with budget optimizer.
View on Github
Scraper Bot
Scraper Bot
Python scraper bot for automated data collection, structured extraction, storage pipeline, and scheduling.
View on Github
Statistical Modeling
Statistical Modeling & Regression Diagnostics
Regression diagnostics, residual analysis, and statistical validation. Foundation for the MMM methodology.
View Document
Supply Chain
Supply Chain Optimization
Mathematical modeling and optimization applied to supply chain challenges using operations research techniques.
View Document
Statistical Inference
Statistical Inference & Probability Modeling
Probability theory, statistical inference, and modeling techniques applied to real-world analytical problems.
View Document