Remote ML Data Analyst: SQL, Python & Insights

Fullstack; La Pampa; À distance; ARS 83 266 000 - 113 545 000; Plein temps

Résumé du poste

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a US-based marketing analytics client and work with large-scale consumer data. You will leverage SQL and Python to build models, then translate results into clear summaries for stakeholders in English.

The role is 100% remote across LATAM and welcomes candidates from entry to mid-level, emphasizing strong quantitative foundations and curiosity for data manipulation and insights.

Qualifications

• Bachelor's degree in a quantitative or analytics-related field with coursework in databases or data analysis.
• Strong SQL skills with complex JOINs, aggregations, and conditional logic.
• Proficient Python for data cleaning, manipulation, and processing (pandas).
• Familiarity with ML libraries to build/assess predictive models.
• Experience handling messy text and creating clear stakeholder-ready summaries.

Responsabilités

• Write, optimize, and execute SQL queries from relational databases and cloud warehouses.
• Develop, run, and validate machine learning or statistical models to uncover insights and forecast trends.
• Slice and aggregate data to compute core metrics like market share and trends.
• Build and maintain clean data tables and dashboards for recurring reports.
• Review outputs and perform data audits to ensure accuracy.

Connaissances

SQL

Python

English (Advanced)

Data wrangling

Data visualization

Formation

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

Outils

pandas

scikit-learn

statsmodels

SQL databases

Description du poste

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a US-based marketing analytics client and work with large-scale consumer data. You will leverage SQL and Python to build models, then translate results into clear summaries for stakeholders in English.

The role is 100% remote across LATAM and welcomes candidates from entry to mid-level, emphasizing strong quantitative foundations and curiosity for data manipulation and insights.