Remote ML Data Analyst — SQL, Python & Insights

Muttdata; Santa Fe Capital; Remote; ARS 92,241,000 - 138,361,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote work

Job summary

Prometeo Talent is recruiting a Data Analyst (Machine Learning) for a U.S.-based client focused on marketing effectiveness measurement. You will work with large consumer/retail datasets, translating raw data into actionable metrics.

The ideal candidate has solid SQL and Python skills, numbers-oriented mindset, and can present technical results to stakeholders in English. Open to recent grads and mid-level analysts seeking growth.

Qualifications

• 0–4 years of Data Analysis/Analytics experience; entry-level welcome.
• Advanced English (written and spoken).
• Foundational to intermediate SQL skills with complex JOINs and CASE WHEN.

Responsibilities

• Write, optimize, and run SQL queries to extract data from relational databases and cloud warehouses.
• Develop, run, and validate ML, predictive, or statistical matching models.
• Analyze raw data to compute core metrics like house-hold penetration, market share, and purchasing trends.
• Build and maintain clean data tables and dashboards for stakeholders.
• Review outputs, audit data, and ensure data integrity before insights.
• Use filtering to segment data and isolate tracking cohorts.
• Clean, parse, and categorize unstructured or semi-structured text data.
• Translate technical results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python (pandas)

English proficiency

ML basics

Education

Bachelor's degree (quant/CS/Analytics)

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is recruiting a Data Analyst (Machine Learning) for a U.S.-based client focused on marketing effectiveness measurement. You will work with large consumer/retail datasets, translating raw data into actionable metrics.

The ideal candidate has solid SQL and Python skills, numbers-oriented mindset, and can present technical results to stakeholders in English. Open to recent grads and mid-level analysts seeking growth.