Remote ML Data Analyst — SQL & Python Insights

Prometeo Talent; La Pampa; Remote; ARS 68.155.000 - 121.164.000; Vollzeit

Benefits dieser Stelle

10 days PTO

USA holidays

100% remote

Zusammenfassung

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based marketing effectiveness team. This role focuses on querying large consumer and retail datasets, transforming data into actionable insights, and communicating results in English.

Open to recent graduates or mid-level professionals with strong quantitative backgrounds. Remote-friendly with opportunities to work across international teams and stakeholders.

Qualifikationen

• 0–4 years of experience in Data Analysis, Business Analytics, or similar roles.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills with complex JOINs and CASE WHEN logic.
• Python scripting for data cleaning and processing, with pandas proficiency.
• Familiarity with modeling libraries such as scikit-learn or statsmodels.

Aufgaben

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate machine learning, predictive, or statistical models to uncover insights and forecast trends.
• Prepare data slices and aggregations to compute core metrics like penetration, market share, and purchasing trends.
• Build and maintain clean data tables and views for dashboards and recurring reports.
• Translate technical results into clear written summaries and stakeholder-ready insights.

Kenntnisse

SQL

Python

pandas

Machine learning

English communication

Ausbildung

Bachelor's degree in Business Analytics/Statistics/Math/CS/Economics/Marketing

Tools

Snowflake

BigQuery

Redshift

GA4

Jobbeschreibung

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based marketing effectiveness team. This role focuses on querying large consumer and retail datasets, transforming data into actionable insights, and communicating results in English.

Open to recent graduates or mid-level professionals with strong quantitative backgrounds. Remote-friendly with opportunities to work across international teams and stakeholders.