Remote ML Data Analyst | SQL, Python & Predictive Modeling

Alignerr Corp.; Buenos Aires; A distancia; ARS 60.828.000 - 106.449.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

10 days PTO

Remote work

Collaboration with international teams

Growth in SQL/Python/ML

Descripción de la vacante

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focusing on marketing effectiveness. You will work on large consumer datasets, translating complex data into clear business insights for English-speaking stakeholders, with a 100% remote LATAM setup.

Ideal candidates have 0–4 years of experience, strong SQL/Python skills, and a solid English level. Open to recent grads and mid-level professionals eager to deepen data manipulation and ML exposure.

Formación

• 0–4 years in Data Analysis or similar roles; entry to mid level welcome.
• Advanced English (written and spoken).
• Foundational SQL with joins and CASE logic.
• Python for data cleaning, manipulation, processing (pandas).
• Familiarity with ML or statistical modeling libraries.

Responsabilidades

• Write, optimize SQL to extract data from relational databases and cloud warehouses.
• Develop and validate ML, predictive or statistical matching models.
• Compute core metrics like household penetration, market share, and trends.
• Build and maintain clean data tables and dashboards for stakeholders.
• Review outputs for accuracy and data integrity before insights.

Conocimientos

SQL

Python

English

Data analysis

Data storytelling

Educación

Bachelor's degree (Business Analytics / Statistics / CS / Economics)

Herramientas

Pandas

scikit-learn

Cloud data warehouses

Descripción del empleo

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focusing on marketing effectiveness. You will work on large consumer datasets, translating complex data into clear business insights for English-speaking stakeholders, with a 100% remote LATAM setup.

Ideal candidates have 0–4 years of experience, strong SQL/Python skills, and a solid English level. Open to recent grads and mid-level professionals eager to deepen data manipulation and ML exposure.