Remote ML Data Analyst | SQL & Python

Fullstack; Rosario; Remote; ARS 61,816,000 - 100,451,000; Full time

Benefits offered by this job

10 days PTO

100% remote

International teams

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based marketing analytics client. The role focuses on turning large consumer and retail datasets into actionable metrics using SQL, Python, and ML techniques.

The ideal candidate ranges from new graduates with quantitative coursework to mid-level analysts expanding data skills. You will translate complex results into concise summaries for stakeholders, contribute to dashboards, and work in a fully remote, international

Qualifications

• Bachelor's degree in a quantitative field with coursework in database management or analytics.
• Advanced English (spoken and written).
• Foundational to intermediate SQL with joins, aggregations and CASE WHEN.

Responsibilities

• Write, optimize, and execute SQL queries from relational databases and cloud warehouses.
• Develop and validate ML, predictive, or statistical models to forecast trends.
• Transform raw transactional data into core business metrics and dashboards.
• Clean, parse, and categorize unstructured or semi-structured text data.
• Translate technical results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python

pandas

scikit-learn

statsmodels

data cleaning

Education

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

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based marketing analytics client. The role focuses on turning large consumer and retail datasets into actionable metrics using SQL, Python, and ML techniques.

The ideal candidate ranges from new graduates with quantitative coursework to mid-level analysts expanding data skills. You will translate complex results into concise summaries for stakeholders, contribute to dashboards, and work in a fully remote, international