Remote ML Data Analyst for Marketing Insights

Wizdaa Inc.; Ciudad de Mendoza; Remote; ARS 90,873,000 - 136,310,000; Full time

Benefits offered by this job

100% remote work

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 is 100% remote for LATAM and involves leveraging SQL, Python, and ML techniques to transform large-scale consumer and retail data into actionable insights.

You will translate complex results into clear summaries for English-speaking stakeholders, collaborate with international teams, and contribute to data-driven decision making across business

Qualifications

• 0 to 4 years of data analysis experience; entry-level welcome.
• Advanced English (written and spoken).
• Strong SQL with JOINs, aggregations, and CASE WHEN.
• Python with pandas for multi-step transformations.

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 behaviors and forecast trends.
• Slice and aggregate raw data to calculate core metrics such as household penetration and market trends.
• Build and maintain clean data tables and views feeding dashboards and reports.
• Review outputs, audit data, and ensure accuracy before insights are finalized.
• Translate data structures and results into clear summaries for stakeholders in English.

Skills

SQL

Python

pandas

Machine learning

Text parsing

Data transformation

Education

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

Tools

Snowflake

BigQuery

Redshift

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 is 100% remote for LATAM and involves leveraging SQL, Python, and ML techniques to transform large-scale consumer and retail data into actionable insights.

You will translate complex results into clear summaries for English-speaking stakeholders, collaborate with international teams, and contribute to data-driven decision making across business