Remote ML Data Analyst — SQL, Python & ML Models

Silver.Dev; La Pampa; Remote; ARS 84,554,000 - 138,361,000; Full time

Benefits offered by this job

100% remote

International teams

PTO 10 days

Job summary

Prometeo Talent invites data professionals for a Data Analyst (Machine Learning) role with a 100% remote LATAM setup. You will bridge complex data to business insights, using SQL and Python to build models and dashboards for stakeholders in English.

The role fits a range of experience levels, from recent graduates to mid-level analysts, with opportunities to grow in consumer and market analytics on a global client team.

Qualifications

• Advanced English (written and spoken).
• SQL skills with JOINs, aggregations, and CASE WHEN logic.
• Python for data cleaning, manipulation, and processing (pandas).
• Familiarity with scikit-learn or statsmodels for ML modeling.
• Experience handling messy text fields and pattern matching.
• Relational DB design and data normalization knowledge.
• Degree with quantitative coursework in relevant field.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate ML or predictive models to uncover consumer insights.
• Slice and aggregate data to compute core metrics like market share and trends.
• Build and maintain clean data tables and dashboards for stakeholders.
• Review outputs, audit data, and ensure integrity before insights are shared.
• Segment data using conditional logic to isolate cohorts.
• Clean, parse, and categorize unstructured text data.
• Translate technical results into clear written summaries for English-speaking stakeholders.

Skills

SQL

Python

English

Pandas

ML Modeling

Text processing

Data normalization

Education

Bachelor's degree in Business Analytics / Statistics / Mathematics / CS

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent invites data professionals for a Data Analyst (Machine Learning) role with a 100% remote LATAM setup. You will bridge complex data to business insights, using SQL and Python to build models and dashboards for stakeholders in English.

The role fits a range of experience levels, from recent graduates to mid-level analysts, with opportunities to grow in consumer and market analytics on a global client team.