Remote ML Data Analyst

Prometeo Talent; Cartagena de Indias; A distancia; COP 139.087.000 - 205.318.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

10 days PTO

USA holidays

100% remote work

Descripción de la vacante

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client team focused on marketing effectiveness measurement. You will work with large-scale consumer and retail data, translating complex datasets into clear insights for stakeholders in English.

The role supports entry to mid-level analysts and emphasizes SQL, Python, and ML techniques. Responsibilities include building data pipelines, validating models, and delivering dashboards that track market trends such as

Formación

• 0 to 4 years of experience in Data Analysis or similar roles; entry-level candidates welcome.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills with complex JOINs and CASE WHEN logic.
• Python scripting for data cleaning and processing, with pandas proficiency.
• Experience with messy text fields: cleaning, parsing, and pattern matching.

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.
• Slice, unpivot, and aggregate raw transactional or panel data to calculate core business metrics.
• Build and maintain clean, structured data tables and views for tracking reports and dashboards.
• Review query outputs, perform data audits, and ensure data integrity before insights.

Conocimientos

SQL

Python

English (Advanced)

Data analysis

Educación

Bachelor's degree in Business Analytics, Statistics, Mathematics, CS, Economics, Marketing

Herramientas

pandas

scikit-learn

Descripción del empleo

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client team focused on marketing effectiveness measurement. You will work with large-scale consumer and retail data, translating complex datasets into clear insights for stakeholders in English.

The role supports entry to mid-level analysts and emphasizes SQL, Python, and ML techniques. Responsibilities include building data pipelines, validating models, and delivering dashboards that track market trends such as