Remote ML Data Analyst — SQL, Python, AI Metrics

Agileengine; Buenos Aires; A distancia; ARS 60.924.000 - 106.616.000; Jornada completa

Descripción de la vacante

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a U.S.-based marketing effectiveness team. You will work with large-scale consumer datasets, translating complex data into actionable metrics for stakeholders in English.

The role emphasizes SQL, Python (pandas), and ML workflows, with opportunities to grow in analytics and data science within a fully remote LATAM setting.

Formación

• 0–4 years of experience in Data Analysis or related roles
• Advanced English (written and spoken)
• Foundational to intermediate SQL (JOINs, aggregations, CASE WHEN)
• Python for cleaning and processing with pandas
• Familiarity with scikit-learn or statsmodels for predictive modeling
• Experience with messy text data cleaning/parsing
• Strong understanding of relational DB design and normalization
• Bachelor’s degree in a quantitative/analytical field

Responsabilidades

• Write, optimize, and run SQL queries against relational databases and cloud data warehouses
• Develop and validate ML, predictive, or statistical matching models
• Compute core business metrics from raw data (household penetration, market share, trends)
• Build and maintain clean data tables and views for dashboards
• Audit query outputs and ensure data integrity before insights
• Segment data using conditional logic to support cohort analyses
• Parse and categorize unstructured text data
• Translate technical results into clear summaries for English-speaking stakeholders

Conocimientos

SQL

Python

Pandas

Advanced English

Machine Learning concepts

Text processing

Relational databases

Educación

Bachelor's degree in Business Analytics/Statistics/Mathematics/CS/Economics/Marketing

Herramientas

Snowflake

BigQuery

Redshift

Scikit-learn

Statsmodels

Descripción del empleo

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a U.S.-based marketing effectiveness team. You will work with large-scale consumer datasets, translating complex data into actionable metrics for stakeholders in English.

The role emphasizes SQL, Python (pandas), and ML workflows, with opportunities to grow in analytics and data science within a fully remote LATAM setting.