Remote ML Data Analyst — SQL, Python & Insights

Atomic Hr; Rosario; Remote; ARS 90,873,000 - 136,310,000; Full time

Benefits offered by this job

100% remote

10 days PTO

US holidays

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a 100% remote role in LATAM. Join a US-based client focused on marketing effectiveness measurement and help translate complex data into actionable insights.

The role emphasizes SQL, Python, and the ability to communicate results clearly in English, with a range from recent graduates to mid-level analysts welcome. You will work with large consumer datasets and cross-functional teams.

Qualifications

• Bachelor's degree in a quantitative field with coursework in data analysis.
• Strong SQL and Python (pandas) skills for data cleaning, manipulation and modeling.
• Excellent written and spoken English for stakeholder communication.

Responsibilities

• Write, optimize, and run SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate machine learning or statistical models to forecast trends.
• Process and aggregate raw data to compute key metrics like household penetration and market trends.
• Build and maintain data tables and views feeding dashboards and reports.
• Review outputs for accuracy and data integrity before presenting insights.

Skills

SQL

Python (pandas)

English proficiency

Data analysis

ML basics

Education

Bachelor's degree in a quantitative field

Tools

(scikit-learn, statsmodels)

SQL databases

Cloud data warehouses (Snowflake/BigQuery/Redshift)

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a 100% remote role in LATAM. Join a US-based client focused on marketing effectiveness measurement and help translate complex data into actionable insights.

The role emphasizes SQL, Python, and the ability to communicate results clearly in English, with a range from recent graduates to mid-level analysts welcome. You will work with large consumer datasets and cross-functional teams.