Machine Learning Analyst | 100% Remoto | LATAM

What do we offer?

Prometeo Talent is a recruitment agency with a strong presence across the Americas and Europe. We specialize in connecting companies with exceptional tech and engineering professionals.

We have partnered with a U.S.-based company that specializes in marketing effectiveness measurement across various channels. They are an independent company fully dedicated to helping organizations understand consumer behavior, purchasing trends, and market performance through data-driven insights.

We are looking for a Data Analyst to join our client’s global team. This role is open to both recent graduates and early-career professionals who are passionate about working with data. The position focuses on querying, transforming, and analyzing large-scale consumer and retail datasets to generate actionable insights for clients and internal stakeholders.

Data Analyst

About Us

Prometeo Talent is a recruitment agency with a strong presence across the Americas and Europe. We specialize in connecting companies with exceptional tech and engineering professionals.

We have partnered with a U.S.-based company that specializes in marketing effectiveness measurement across various channels. They are an independent company fully dedicated to helping organizations understand consumer behavior, purchasing trends, and market performance through data-driven insights.

We are looking for a Data Analyst to join our client’s global team. This role is open to both recent graduates and early-career professionals who are passionate about working with data. The position focuses on querying, transforming, and analyzing large-scale consumer and retail datasets to generate actionable insights for clients and internal stakeholders.

What You Will Do

- Extract, query, and manipulate data using SQL from relational databases and cloud data warehouses.

- Analyze large transactional and consumer datasets to identify trends, patterns, and business insights.

- Build and maintain structured datasets that support recurring reports and business analyses.

- Calculate key business metrics such as household penetration, market share, purchasing behavior, and category trends.

- Work with raw and semi-structured data, cleaning and categorizing information as needed.

- Validate data outputs and perform quality checks to ensure data accuracy and integrity.

- Collaborate with internal teams to support reporting needs and answer business questions through data.

- Translate complex datasets into clear findings and recommendations.

Requirements

- 0–4 years of experience in Data Analytics, Reporting, Business Intelligence, or similar analytical roles.

- Advanced English level (written and spoken).

- Strong SQL skills, including joins, filtering, aggregations, GROUP BY statements, and conditional logic.

- Understanding of relational databases, table relationships, and data structures.

- Experience working with large datasets and performing data validation.

- Ability to identify trends, anomalies, and meaningful business insights from data.

- Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, Engineering, or a related quantitative field.

Nice to Have

- Experience with Common Table Expressions (CTEs), subqueries, or window functions.

- Experience working with consumer,



retail, panel, transactional, or market research datasets.

- Familiarity with data visualization tools such as Power BI, Looker, Tableau, or similar.

- Experience with text data cleaning, categorization, or string manipulation techniques.

- Basic knowledge of Python for data manipulation and analysis.

Why Join Us?

10 days of PTO to recharge wherever you choose.
Enjoy USA Holidays.
100% remote work—design the work-life balance that fits you best.
Work with large-scale consumer and retail datasets that drive real business decisions.
Collaborate with a global, multidisciplinary team.
Develop your SQL, analytics, and business intelligence skills while working on impactful projects.

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 client's 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.

About Us

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 client's global team.

This role is idóneo 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.

What You Will Do

- 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.

Requirements

- 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.

- Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or a related field with coursework covering database management or quantitative data analysis.

Nice to Have

- 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.

Why Join Us?

10 days of PTO to recharge wherever you choose.
Enjoy USA Holidays.
100% remote work—design 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.

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