Remote ML Data Analyst - SQL & Python

TalentCross; Santa Fe Capital; Remote; ARS 46,120,000 - 69,181,000; Full time

Benefits offered by this job

10 days PTO

USA holidays

100% remote

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client’s global team. The role focuses on processing large-scale consumer/retail data, translating complex datasets into actionable metrics, and delivering clear summaries for English-speaking stakeholders.

Ideal candidates bring solid SQL and Python skills, a numbers-driven mindset, and the ability to communicate results effectively. Open to recent graduates through mid-level professionals seeking deeper data manipulation

Qualifications

• Bachelor's degree in a quantitative field or related discipline.
• Advanced English proficiency, both written and spoken.
• Foundational to advanced SQL with joins, aggregations, and CASE logic.
• Python for data cleaning, manipulation, and processing with pandas.
• Experience with ML/ML-matching models using scikit-learn or statsmodels.

Responsibilities

• Write, optimize, and run SQL queries from relational databases and cloud data warehouses.
• Develop, run, and validate ML or statistical models to uncover consumer patterns and forecast trends.
• Slice and aggregate raw data to compute core metrics like market share and purchasing trends.
• Build and maintain clean data tables and views for tracking reports and dashboards.
• Review outputs and audit data to ensure accuracy before insights are shared.

Skills

SQL

Python

Pandas

scikit-learn

English

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client’s global team. The role focuses on processing large-scale consumer/retail data, translating complex datasets into actionable metrics, and delivering clear summaries for English-speaking stakeholders.

Ideal candidates bring solid SQL and Python skills, a numbers-driven mindset, and the ability to communicate results effectively. Open to recent graduates through mid-level professionals seeking deeper data manipulation