Remote ML Data Analyst — SQL/Python & Modeling

Yo Ai Labs; La Pampa; Remote; ARS 98,446,000 - 136,310,000; Full time

Benefits offered by this job

10 days PTO

100% remote work

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client’s global team, with 100% remote work across LATAM. The role targets turning large-scale consumer data into actionable metrics, requiring strong SQL and Python skills and fluency in English.

Open to graduates with quantitative backgrounds or mid-level analysts. You will translate complex results into clear summaries for stakeholders and collaborate with international teams on data-driven projects.

Qualifications

• Strong SQL skills with complex JOINs, aggregations, and CASE WHEN logic.
• Python data manipulation and cleaning using pandas.
• Experience parsing, cleaning, and structuring messy text fields.
• Solid understanding of relational database design and data normalization.

Responsibilities

• Write, optimize, and execute SQL queries from relational databases and cloud warehouses.
• Develop and validate machine learning, predictive, or statistical models for consumer insights.
• Aggregate and transform raw data into core metrics like market share and penetration.
• Build and maintain clean data tables and dashboards feeding stakeholders.
• Review outputs for accuracy and data integrity before presenting insights.
• Segment data with conditional logic to isolate tracking cohorts.
• Parse and categorize unstructured text data for analysis.
• Translate data results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python

Pandas

English (Advanced)

Education

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

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client’s global team, with 100% remote work across LATAM. The role targets turning large-scale consumer data into actionable metrics, requiring strong SQL and Python skills and fluency in English.

Open to graduates with quantitative backgrounds or mid-level analysts. You will translate complex results into clear summaries for stakeholders and collaborate with international teams on data-driven projects.