Remote ML Data Analyst | SQL, Python & ML Modeling

Imachines; La Pampa; Remote; ARS 90,873,000 - 136,310,000; Full time

Job summary

Prometeo Talent invites applications for a Machine Learning Analyst to join a US-based marketing analytics team. The role emphasizes turning large consumer datasets into actionable metrics using SQL, Python, and ML, with clear English communication for stakeholders.

Open to recent graduates or mid-level analysts, candidates should enjoy data-driven work, storytelling with data, and collaboration with international teams on dashboards and recurring reports.

Qualifications

• 0 to 4 years of Data Analysis or similar roles; entry-level accepted.
• Advanced English (written and spoken).
• Foundational to intermediate SQL skills with JOIN logic, aggregations, and CASE WHEN.
• Python with pandas for data cleaning and transformations, multi-step workflows.

Responsibilities

• Write, optimize, and execute SQL queries against relational databases and cloud data warehouses.
• Develop, run, and validate machine learning, predictive, or statistical models to uncover consumer behaviors and forecast trends.
• Slice, unpivot, and aggregate raw transactional or panel data to compute core metrics like household penetration and market share.
• Build and maintain clean data tables and views feeding recurring tracking reports and dashboards.
• Review query outputs, perform data audits, and verify logic for accuracy and data integrity.
• Use conditional logic to segment data and isolate cohorts.
• Clean, parse, and categorize unstructured or semi-structured text data.
• Translate technical results into clear summaries for stakeholders in English.

Skills

SQL

Python (pandas)

English communication

Data analysis

Education

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

Tools

Pandas

scikit-learn

SQL databases

Snowflake/BigQuery/Redshift

Job description

Prometeo Talent invites applications for a Machine Learning Analyst to join a US-based marketing analytics team. The role emphasizes turning large consumer datasets into actionable metrics using SQL, Python, and ML, with clear English communication for stakeholders.

Open to recent graduates or mid-level analysts, candidates should enjoy data-driven work, storytelling with data, and collaboration with international teams on dashboards and recurring reports.