Remote ML Data Analyst — SQL & Python Focus

Stefanini; Santa Fe Capital; Remote; ARS 75,728,000 - 106,019,000; Full time

Job summary

Prometeo Talent is partnering with a U.S.-based company to hire a Data Analyst (Machine Learning) for remote LATAM work. The role emphasizes SQL and Python, with a focus on turning large-scale consumer data into actionable metrics and insights.

The ideal candidate range includes recent graduates through mid-level analysts with quantitative backgrounds. Strong English, attention to detail, and the ability to summarize technical results for stakeholders are required.

Qualifications

• Strong SQL querying and data extraction from relational databases and cloud warehouses.
• Python scripting for data cleaning, manipulation, and processing with pandas.
• Experience building or evaluating predictive/statistical models (ML/ML-lite).
• Able to translate technical results into clear summaries for stakeholders in English.

Responsibilities

• Write, optimize, and run SQL against relational databases and cloud warehouses.
• Develop, run, and validate ML, predictive, or statistical models to uncover consumer behavior.
• Slice and aggregate data to compute core metrics like market share and trends.
• Build and maintain clean data tables and dashboards for stakeholders.
• Review outputs and ensure data integrity before insights are shared.
• Translate data structures and results into clear written summaries for English-speaking teams.

Skills

SQL

Python

pandas

machine learning

data cleaning

English communication

Education

Bachelors in Business Analytics/Statistics/CS/Economics

Tools

scikit-learn

statsmodels

Job description

Prometeo Talent is partnering with a U.S.-based company to hire a Data Analyst (Machine Learning) for remote LATAM work. The role emphasizes SQL and Python, with a focus on turning large-scale consumer data into actionable metrics and insights.

The ideal candidate range includes recent graduates through mid-level analysts with quantitative backgrounds. Strong English, attention to detail, and the ability to summarize technical results for stakeholders are required.