Remote Senior ML Data Analyst | SQL & Python

Capgemini Engineering; Ciudad de Mendoza; A distancia; ARS 54.055.000 - 92.666.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

10 days PTO

100% remote work

USA holidays

Descripción de la vacante

Prometeo Talent is recruiting a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness measurement. This fully remote LATAM role offers exposure to large-scale consumer and retail datasets and requires strong SQL, Python, and the ability to translate results into clear summaries for English-speaking stakeholders.

You will work with international teams, build ML models, maintain dashboards, and deliver actionable metrics that inform business strategy.

Formación

• 0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles.
• 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.

Responsabilidades

• 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.

Conocimientos

SQL

Python

Pandas

English (Advanced)

Machine Learning

Data storytelling

Educación

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

Herramientas

Snowflake

BigQuery

Redshift

scikit-learn

Pandas

Descripción del empleo

Prometeo Talent is recruiting a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness measurement. This fully remote LATAM role offers exposure to large-scale consumer and retail datasets and requires strong SQL, Python, and the ability to translate results into clear summaries for English-speaking stakeholders.

You will work with international teams, build ML models, maintain dashboards, and deliver actionable metrics that inform business strategy.