Remote ML Data Analyst — Python & SQL

Fullstack; La Pampa; Remote; ARS 68,155,000 - 113,592,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote work

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client's global team. The role focuses on transforming large-scale consumer and retail data into actionable insights, using SQL and Python to build ML models and deliver clear outcomes for stakeholders in English.

We welcome candidates from recent grads to mid-level analysts with a quantitative background who enjoy translating complex data into concise business metrics and compelling narratives that inform strategic

Qualifications

• 0–4 years of experience in Data Analysis or similar.
• Advanced English, both written and spoken.
• Strong SQL with complex JOINs and CASE WHEN.

Responsibilities

• Write, optimize, and run SQL queries on relational databases and data warehouses.
• Develop and validate ML, predictive, or statistical models to forecast trends.
• Slice and aggregate data to calculate core metrics like market share and trends.
• Build clean data tables and views feeding dashboards and reports.
• Review outputs and ensure data integrity before insights.
• Segment data using conditional logic to track cohorts.
• Parse and categorize unstructured text data.
• Translate results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python

Pandas

English (Advanced)

Data cleaning

Data interpretation

Education

Bachelor's degree in Business Analytics / Statistics / Mathematics / Computer Science / Economics

Tools

scikit-learn

statsmodels

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client's global team. The role focuses on transforming large-scale consumer and retail data into actionable insights, using SQL and Python to build ML models and deliver clear outcomes for stakeholders in English.

We welcome candidates from recent grads to mid-level analysts with a quantitative background who enjoy translating complex data into concise business metrics and compelling narratives that inform strategic