Remote LatAm ML Data Analyst - SQL & Python

Welo Global; La Pampa; Remote; ARS 90,836,000 - 136,254,000; Full time

Benefits offered by this job

Remote work

International team collaboration

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client. The role involves turning large consumer and retail datasets into actionable metrics, requiring strong SQL and Python skills and the ability to present results in English.

Open to recent graduates through mid-level analysts with quantitative backgrounds. This is a 100% remote position serving LATAM markets and collaborating with international teams.

Qualifications

• Bachelor's degree as specified in the Requirements.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills with JOINs and CASE WHEN logic.
• Python scripting for data cleaning and processing with pandas.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate machine learning, predictive, or statistical matching models.
• Slice, unpivot, and aggregate raw transactional or panel data for core business metrics.
• Build and maintain clean data tables and dashboards for stakeholders.
• Review query outputs and perform data audits for accuracy.

Skills

SQL queries

Python (pandas)

Data analysis

English proficiency

Education

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

Tools

SQL databases

Pandas

scikit-learn

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client. The role involves turning large consumer and retail datasets into actionable metrics, requiring strong SQL and Python skills and the ability to present results in English.

Open to recent graduates through mid-level analysts with quantitative backgrounds. This is a 100% remote position serving LATAM markets and collaborating with international teams.