Senior Data Analyst (ML) — Remote, Global Impact

Fullstack; La Pampa; A distancia; ARS 63.808.000 - 100.270.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work across LATAM

Descripción de la vacante

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join its client’s global team. You will turn large-scale consumer data into actionable metrics using SQL and Python for ML and statistical modeling.

The role welcomes recent graduates to mid-level analysts with strong quantitative backgrounds and a proven ability to summarize technical results for stakeholders in English. Remote work across LATAM is supported.

Formación

• 0 to 4 years of data analysis or analytics experience.
• Advanced English written and spoken.
• Foundational SQL with JOINs and CASE WHEN logic.
• Python data cleaning and transformation with pandas.
• Familiar with modeling libraries (scikit-learn/statsmodels).
• Experience handling messy text data and relational DB design.

Responsabilidades

• Write, optimize, and execute SQL to extract data from databases and warehouses.
• Develop and validate ML, predictive, or statistical models.
• Slice and aggregate data to compute key metrics like market trends.
• Build data tables and dashboards for recurring reports.
• Audit results and ensure data integrity before insights.
• Translate results into clear stakeholder summaries in English.

Conocimientos

SQL

Python

Data analysis

English

pandas

data manipulation

Educación

Bachelor's degree in Business Analytics/Statistics/CS/Economics

Herramientas

Snowflake

BigQuery

Redshift

scikit-learn

Descripción del empleo

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join its client’s global team. You will turn large-scale consumer data into actionable metrics using SQL and Python for ML and statistical modeling.

The role welcomes recent graduates to mid-level analysts with strong quantitative backgrounds and a proven ability to summarize technical results for stakeholders in English. Remote work across LATAM is supported.