Remote ML Data Analyst – SQL & Python

Corteva Agriscience; Santa Fe Capital; A distancia; ARS 92.724.000 - 139.086.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

10 days PTO

US holidays observed

100% remote work

Global collaboration

Descripción de la vacante

Prometeo Talent is partnering with a U.S.-based company to recruit a Data Analyst (Machine Learning) who will work with large-scale consumer and retail datasets. The role emphasizes translating complex data into clear metrics for English-speaking stakeholders and building ML models to uncover trends.

The ideal candidate will have strong SQL and Python skills, familiarity with pandas, and comfort working with unstructured text data.

Formación

• 0 to 4 years of experience in Data Analysis or similar roles.
• Advanced English, strong SQL and Python skills.
• Proficient in pandas and data cleaning techniques.
• Experience with unstructured text data helpful.

Responsabilidades

• Write, optimize, and run SQL queries from relational databases and data warehouses.
• Develop, validate ML or statistical models to forecast trends.
• Slice, unpivot, and aggregate data to calculate core metrics.
• Build and maintain clean data tables and dashboards.
• Audit query outputs and ensure data integrity before insights.
• Segment data with conditional logic for tracking cohorts.
• Translate results into clear summaries for stakeholders in English.
• Parse and categorize unstructured text data.

Conocimientos

SQL

Python

Pandas

Data analysis

Machine learning

Data cleaning

Join logic

Relational databases

English

Educación

Bachelor's degree in related field

Herramientas

Snowflake

BigQuery

Redshift

Descripción del empleo

Prometeo Talent is partnering with a U.S.-based company to recruit a Data Analyst (Machine Learning) who will work with large-scale consumer and retail datasets. The role emphasizes translating complex data into clear metrics for English-speaking stakeholders and building ML models to uncover trends.

The ideal candidate will have strong SQL and Python skills, familiarity with pandas, and comfort working with unstructured text data.