Remote ML Data Analyst - SQL, Python & Market Intelligence

Bolder Apps - Ai Native Agentcy; Buenos Aires; A distancia; ARS 30.893.000 - 55.607.000; Jornada completa

Descripción de la vacante

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

Ideal candidates have solid SQL and Python skills, strong numerical intuition, and attention to detail. The role welcomes a range of experience levels, from graduates to mid-level analysts seeking to deepen data

Formación

• 0 to 4 years in Data Analysis or related roles.
• Advanced English (written and spoken).
• SQL with joins, aggregations, and CASE WHEN.
• Python for data cleaning with Pandas.
• Experience handling messy text data.
• Solid relational database design knowledge.
• Bachelor-level degree in a relevant field with coursework in data analysis.

Responsabilidades

• Write, optimize, and execute SQL queries to extract data.
• Develop and validate ML, predictive, or statistical models.
• Slice and aggregate data to compute core metrics.
• Create and maintain tables and views for dashboards.
• Audit outputs and ensure data integrity before insights.
• Segment data using conditional logic for cohorts.
• Parse and categorize unstructured text data.
• Translate results into clear English summaries for stakeholders.

Conocimientos

SQL

Python

English

Data analysis

Text parsing

Educación

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

Herramientas

Pandas

scikit-learn

statsmodels

Descripción del empleo

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

Ideal candidates have solid SQL and Python skills, strong numerical intuition, and attention to detail. The role welcomes a range of experience levels, from graduates to mid-level analysts seeking to deepen data