Remote ML Analyst: Marketing Insights & Predictions

Futureproofing; Santa Fe Capital; Remote; ARS 68,155,000 - 106,019,000; Full time

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness measurement. The role targets professionals who can turn large consumer and retail datasets into actionable metrics using SQL and Python.

The ideal candidate blends data manipulation skills with the ability to translate results into clear stakeholder summaries in English, across a range from new graduates to mid-level analysts.

Qualifications

• 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 JOINs, aggregations, and CASE WHEN.

Responsibilities

• 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 deeper consumer behaviors and forecast trends.
• Slice, unpivot, and aggregate raw data to calculate core business metrics such as household penetration, market share, and purchasing trends.
• Build and maintain clean data tables and views feeding recurring tracking reports and dashboards.
• Review query outputs, perform data audits, and ensure accuracy before insights are finalized.
• Use filtering to segment data and isolate tracking cohorts.
• Clean, parse, and categorize unstructured or semi-structured text data.
• Translate technical results into clear summaries for stakeholders in English.

Skills

SQL

Python

English proficiency

Education

Bachelor's degree in analytics or related field

Tools

Pandas

scikit-learn

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness measurement. The role targets professionals who can turn large consumer and retail datasets into actionable metrics using SQL and Python.

The ideal candidate blends data manipulation skills with the ability to translate results into clear stakeholder summaries in English, across a range from new graduates to mid-level analysts.