Remote Data & ML Analytics Lead (LATAM)

1801 Haleon Argentina S.A.; La Pampa; Remote; ARS 69,181,000 - 115,301,000; Full time

Job summary

Prometeo Talent is recruiting a Data Analyst (Machine Learning) for a U.S.-based client focused on marketing effectiveness. The role is 100% remote, open to LATAM, with responsibilities spanning SQL data extraction, ML model development, and business metric reporting.

English fluency is required and you will translate technical results for stakeholders. Ideal candidates range from graduates with quantitative backgrounds to mid-level analysts seeking to deepen data manipulation skills using

Qualifications

• 0–4 years in Data Analysis or related roles.
• Advanced English (written and spoken).
• Foundational to intermediate SQL with JOINs and CASE WHEN logic.
• Python scripting for data cleaning and transformations (pandas).
• Familiarity with ML libraries like scikit-learn or statsmodels.

Responsibilities

• Write, optimize, and run SQL queries from relational databases and cloud data warehouses.
• Develop and validate ML, predictive, or statistical models.
• Process and transform raw data into core business metrics and dashboards.
• Create clean data tables and views for recurring reports.
• Audit query outputs and ensure data integrity before insights are shared.
• Segment data using conditional logic to identify cohorts.
• Parse and categorize unstructured or semi-structured text data.
• Translate technical results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python

Pandas

Data Analysis

English (Advanced)

Education

Bachelor's degree in Business Analytics

Tools

Snowflake

BigQuery

Redshift

scikit-learn

Pandas

Job description

Prometeo Talent is recruiting a Data Analyst (Machine Learning) for a U.S.-based client focused on marketing effectiveness. The role is 100% remote, open to LATAM, with responsibilities spanning SQL data extraction, ML model development, and business metric reporting.

English fluency is required and you will translate technical results for stakeholders. Ideal candidates range from graduates with quantitative backgrounds to mid-level analysts seeking to deepen data manipulation skills using