Remote ML Data Analyst: SQL, Python & Insights

Gbsgroup; Santa Fe Capital; A distancia; ARS 91.155.000 - 136.732.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

10 days PTO

USA holidays

100% remote

Descripción de la vacante

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness measurement. You will work with large consumer/retail datasets, turning raw data into clear metrics and actionable insights for stakeholders in English.

The ideal candidate blends solid SQL and Python skills with a strong numbers sense, attention to detail, and the ability to translate technical results into concise summaries.

Formación

• 0–4 years in Data Analysis or similar roles.
• Advanced English (written and spoken).
• Foundational to intermediate SQL skills with JOINs, aggregations, and CASE WHEN.

Responsabilidades

• Write, optimize, and run SQL queries from relational databases and cloud warehouses.
• Develop and validate ML, predictive, or statistical models to forecast trends.
• Analyze and summarize data to compute metrics like market share and penetration.
• Create and maintain clean data tables and dashboards for stakeholders.
• Audit query outputs and ensure data integrity before insights are shared.
• Segment data using conditional logic to identify tracking cohorts.
• Parse and categorize unstructured text data.
• Translate data results into clear written summaries for English-speaking stakeholders.

Conocimientos

SQL

Python pandas

Text processing

Relational DB design

Data cleaning

scikit-learn

statsmodels

Educación

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

Herramientas

Snowflake

BigQuery

Redshift

Descripción del empleo

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness measurement. You will work with large consumer/retail datasets, turning raw data into clear metrics and actionable insights for stakeholders in English.

The ideal candidate blends solid SQL and Python skills with a strong numbers sense, attention to detail, and the ability to translate technical results into concise summaries.