Machine Learning Analyst | 100 Remote | LATAM

Prometeo Talent is a recruitment agency with a strong presence across the Americas and Europe. We specialize in connecting companies with exceptional professionals across data analytics and business functions.

We have partnered with a U.S.-based company specialized in marketing effectiveness measurement. They help organizations better understand consumer behavior purchasing trends brand performance and market dynamics through data-driven insights.

We are looking for a Data Analyst (Machine Learning) to join our clients global team.

This role is ideal for analytical and data-driven professionals who enjoy working with large-scale consumer and retail datasets bridging the gap between complex database structures and business strategy and turning raw transactional or behavioral data into clear actionable metrics.

The ideal candidate combines solid SQL and Python skills a strong numbers sense attention to detail and the ability to translate technical results into clear summaries for stakeholders in English. The position is open to a range of experience levels from recent graduates with a strong quantitative background to mid-level analysts looking to deepen their technical data manipulation skills.

• 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 matching models to uncover deeper consumer behaviors and forecast trends.

• Slice unpivot and aggregate raw transactional or panel data to calculate core business metrics such as household penetration market share and purchasing trends.

• Build and maintain clean structured data tables and views that feed into recurring tracking reports and stakeholder dashboards.

• Review query outputs perform data audits and double-check logic to ensure accuracy and data integrity before insights are finalized.

• Use conditional logic and filtering techniques to segment data and isolate specific tracking cohorts.

• Clean parse and categorize unstructured or semi-structured text data.

• Translate technical data structures and query results into clear written summaries bullet points or data tables for stakeholders in English-speaking environments.

• 0 to 4 years of experience in Data Analysis Business Analytics or similar roles. Entry-level candidates with strong relevant coursework personal data projects or internships are welcome as well as mid-level professionals with a proven track record of querying databases to drive business insights.

• Advanced English level (written and spoken).

• Foundational to intermediate SQL skills including complex JOIN logic standard aggregations and CASE WHEN conditional logic.

• Python scripting for data cleaning manipulation and processing with proficiency in pandas for complex multi-step transformations.

• Familiarity with modeling libraries such as scikit-learn or statsmodels to build and evaluate predictive or statistical matching models.

• Experience working with messy text fields: cleaning parsing filtering and pattern matching within string variables.

• Solid understanding of relational database design including how tables connect primary/foreign keys and data normalization.

• Bachelors degree in Business Analytics Statistics Mathematics Computer Science Economics Marketing or a related field with coursework covering database management or quantitative data analysis.

• Experience working with consumer retail panel or transactional datasets.

• Familiarity with cloud data warehouses (e.g. Snowflake BigQuery Redshift).

• Exposure to marketing analytics consumer insights or market measurement environments.

• Experience building data tables or views that feed dashboards and recurring reports.

10 days of PTO to recharge wherever you choose.
Enjoy USA Holidays.
100% remote workdesign the work-life balance that fits you best.
Work with real consumer and market data that influences strategic business decisions.
Collaborate with international teams and stakeholders.
Develop your expertise in SQL Python and machine learning while working on impactful projects.