Remote ML Data Analyst - Consumer Insights

Caramel Point; La Pampa; À distance; ARS 90 873 000 - 136 310 000; Plein temps

Avantages offerts par ce poste

10 days PTO

100% remote work

USA holidays

Résumé du poste

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness measurement. The role emphasizes turning large consumer and retail datasets into actionable insights using SQL and Python, with English communication for stakeholders.

Open to recent graduates or mid-level analysts, the position involves translating technical results into clear summaries and contributing to dashboards and tracking reports for international teams.

Qualifications

• Bachelor's degree in a quantitative field with coursework in database management or data analysis.
• Strong SQL skills including complex JOINs, aggregations, and CASE WHEN.
• Proficiency in Python for data cleaning and transformations (pandas).
• Experience with modeling libraries like scikit-learn or statsmodels is a plus.

Responsabilités

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate ML, predictive, or statistical models to uncover insights and forecasts.
• Slice and aggregate data to calculate core metrics like market share and trends.
• Build and maintain clean data tables and dashboards for stakeholders.
• Translate results into clear summaries for English-speaking stakeholders.

Connaissances

SQL

Python (pandas)

English (Advanced)

Data analysis

Data storytelling

Formation

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

Outils

Cloud data warehouses (Snowflake, BigQuery, Redshift)

SQL databases

Description du poste

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness measurement. The role emphasizes turning large consumer and retail datasets into actionable insights using SQL and Python, with English communication for stakeholders.

Open to recent graduates or mid-level analysts, the position involves translating technical results into clear summaries and contributing to dashboards and tracking reports for international teams.