Senior ML Data Analyst – Remote, Marketing Insights

Arionkoder; Ciudad de Mendoza; A distancia; ARS 69.682.000 - 108.394.000; Jornada completa

Descripción de la vacante

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client and work remotely across LATAM. The role centers on turning large-scale consumer and retail data into actionable metrics, using SQL and Python to build models and dashboards, and communicating findings in English.

The ideal candidate has solid SQL and Python skills, a strong numbers sense, and attention to detail. The position welcomes candidates from recent grads to mid-level analysts seeking to deepen data

Formación

• Strong SQL and Python skills with ability to manipulate large datasets.
• Experience translating technical results into clear stakeholder summaries in English.
• Familiarity with cloud data sources and data wrangling for dashboards.

Responsabilidades

• Write, optimize, and execute SQL queries from relational databases and cloud warehouses.
• Develop, run, and validate ML, predictive, or statistical models to uncover consumer insights.
• Slice and aggregate datasets to compute metrics like market share and purchasing trends.
• Build and maintain clean data tables and views for recurring reports and dashboards.
• Review outputs for accuracy and data integrity before sharing insights.
• Segment data using filtering to isolate cohorts for analysis.
• Clean, parse, and categorize unstructured text data.
• Translate data structures and results into clear written summaries for stakeholders.

Conocimientos

SQL

Python

Pandas

English

Data analysis

Machine learning

Educación

Bachelor's degree in Analytics/Statistics/CS/Economics

Herramientas

Pandas

scikit-learn

statsmodels

Descripción del empleo

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client and work remotely across LATAM. The role centers on turning large-scale consumer and retail data into actionable metrics, using SQL and Python to build models and dashboards, and communicating findings in English.

The ideal candidate has solid SQL and Python skills, a strong numbers sense, and attention to detail. The position welcomes candidates from recent grads to mid-level analysts seeking to deepen data