Remote ML Data Analyst for Marketing Insights

Software Mind; Ciudad de Mendoza; Remote; ARS 45,437,000 - 106,019,000; Full time

Benefits offered by this job

100% remote work

10 days PTO

USA Holidays

Collaborative international teams

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness measurement. The role targets transforming large-scale consumer and retail data into actionable metrics, using SQL and Python to build ML and statistical models and deliver stakeholder-ready insights.

The ideal candidate has strong SQL/Python skills, attention to detail, and can communicate results in English.

Qualifications

• Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or related field with coursework in database management or quantitative analysis.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate ML, predictive, or statistical matching models to uncover consumer behaviors and forecast trends.
• Slice and aggregate raw data to calculate core business metrics like household penetration, market share, and purchasing trends.
• Build and maintain clean data tables and views for recurring tracking reports and dashboards.
• Review query outputs, perform data audits, and ensure data integrity before insights are finalized.
• Translate technical results into clear summaries for stakeholders in English.

Skills

SQL

Python

Pandas

scikit-learn

statsmodels

Data Cleaning

Data Modeling

English (85+%)

Education

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

Tools

SQL databases

Cloud data warehouses

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness measurement. The role targets transforming large-scale consumer and retail data into actionable metrics, using SQL and Python to build ML and statistical models and deliver stakeholder-ready insights.

The ideal candidate has strong SQL/Python skills, attention to detail, and can communicate results in English.