Remote ML Data Analyst for Marketing Insights

Improving South America; Tandil; Remote; ARS 92,724,000 - 139,086,000; Full time

Benefits offered by this job

Fully remote

USA holidays

40 hours/week

International teams

Remote LATAM contractor

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client, working fully remotely from LATAM. The ideal candidate will combine SQL and Python skills with a strong numbers sense and the ability to translate results into clear stakeholder summaries in English.

The role welcomes recent graduates to mid-level professionals, with 0–4 years of experience and growing work with large-scale consumer and retail datasets.

Qualifications

• Bachelor's degree in a quantitative field with coursework in database management or data analysis.
• Strong SQL and Python skills with ability to manipulate large datasets.
• Experience turning technical results into clear summaries for stakeholders.

Responsibilities

• Write, optimize, and execute SQL queries on relational databases and data warehouses.
• Develop and validate ML, predictive, or statistical models to uncover consumer insights.
• Process and aggregate raw data to compute key metrics and trends.
• Build and maintain clean data tables and dashboards for recurring reports.
• Audit data, verify results, and ensure data integrity before insights are shared.
• Segment data with filtering and conditional logic for cohort analysis.
• Parse and categorize unstructured text data.
• Translate data structures and results into clear written summaries for English-speaking stakeholders.

Skills

SQL

Python

Pandas

English proficiency

Education

Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or related field

Tools

scikit-learn

statsmodels

Azure SQL databases

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client, working fully remotely from LATAM. The ideal candidate will combine SQL and Python skills with a strong numbers sense and the ability to translate results into clear stakeholder summaries in English.

The role welcomes recent graduates to mid-level professionals, with 0–4 years of experience and growing work with large-scale consumer and retail datasets.