Remote ML Data Analyst – Insights & Modeling

Fullstack; Buenos Aires; Remote; ARS 61,494,000 - 122,988,000; Full time

Benefits offered by this job

10 days PTO

USA holidays

Remote work

Job summary

Prometeo Talent is recruiting on behalf of a US-based company for a Data Analyst (Machine Learning). The role focuses on transforming large consumer/retail datasets into actionable metrics using SQL and Python (pandas).

Open to recent graduates to mid-level analysts with strong quantitative backgrounds. Flexible, fully remote with cross-border collaboration across the Americas and Europe.

Qualifications

• Bachelor's degree in Business Analytics, Statistics, Mathematics, CS, Economics, Marketing or related field with coursework in database management or quantitative data analysis.
• Strong SQL with complex JOINs, aggregations, and CASE WHEN logic.
• Proficiency in Python for data cleaning, manipulation and processing (pandas).
• Experience with modeling libraries like scikit-learn or statsmodels to build/predict models.
• Experience handling messy text fields and pattern matching in datasets.

Responsibilities

• Write, optimize, and run SQL queries to extract data from relational databases and cloud warehouses.
• Develop, run, and validate ML, predictive, or statistical matching models.
• Slice, unpivot, and aggregate data to compute core metrics such as market share and trends.
• Build and maintain clean data tables and views for recurring reports and dashboards.
• Data audits and result validation to ensure accuracy before sharing insights.
• Translate technical results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python

pandas

English

data analysis

text processing

Education

Bachelor's degree in Business Analytics or related field

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is recruiting on behalf of a US-based company for a Data Analyst (Machine Learning). The role focuses on transforming large consumer/retail datasets into actionable metrics using SQL and Python (pandas).

Open to recent graduates to mid-level analysts with strong quantitative backgrounds. Flexible, fully remote with cross-border collaboration across the Americas and Europe.