ML Data Platform Analyst — SQL, Python & BI (Remote)

Futureproofing; La Pampa; Remote; ARS 92,724,000 - 139,086,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote

International teams

Data-driven projects

Job summary

Prometeo Talent is partnering with a U.S.-based company to hire a Data Analyst (Machine Learning) for a fully remote role in LATAM. The candidate will work with large consumer and retail datasets, turning complex data into clear metrics for business decisions.

The role emphasizes SQL and Python skills, strong numerical intuition, and the ability to present technical results in English to stakeholders. Open to graduates through mid-level analysts with relevant coursework and projects.

Qualifications

• Bachelor’s degree in a quantitative field with coursework in databases or analytics.
• Strong SQL skills including joins, aggregations, and CASE logic.
• Proficient Python for data cleaning, manipulation, and modeling (pandas).
• Experience with ML or statistical modeling libraries is a plus.

Responsibilities

• Write, optimize, and execute SQL queries from relational and cloud data sources.
• Develop and validate ML or statistical models to reveal consumer insights.
• Process and summarize large datasets into actionable metrics for stakeholders.
• Create and maintain data tables and dashboards feeding recurring reports.
• Audit data outputs and ensure accuracy before delivering insights.
• Segment data to study cohorts and trends.
• Parse and categorize unstructured text data for analysis.
• Translate results into clear written summaries for English-speaking teams.

Skills

SQL queries

Python pandas

English proficiency

Data analysis

Education

Bachelor's in Analytics/CS/Math

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is partnering with a U.S.-based company to hire a Data Analyst (Machine Learning) for a fully remote role in LATAM. The candidate will work with large consumer and retail datasets, turning complex data into clear metrics for business decisions.

The role emphasizes SQL and Python skills, strong numerical intuition, and the ability to present technical results in English to stakeholders. Open to graduates through mid-level analysts with relevant coursework and projects.