Data Analyst (ML) — Remote, Global Impact

TELUS Digital; Buenos Aires; Remote; ARS 36,896,000 - 64,569,000; Full time

Benefits offered by this job

100% remote

USA holidays

Paid time off (PTO)

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focusing on marketing effectiveness. The role engages with large-scale consumer and retail datasets, translating complex data into actionable metrics and clear stakeholder summaries.

Ideal candidates combine SQL and Python proficiency, a strong numbers sense, and attention to detail. Open to recent graduates through mid-level analysts, with remote LATAM flexibility.

Qualifications

• Fluent in English, written and verbal.
• Solid SQL skills, including complex joins, aggregations, and CASE WHEN.
• Python scripting for data cleaning and transformation with pandas.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate machine learning, predictive, or statistical models to uncover consumer behaviors and forecast trends.
• Slice and aggregate raw data to calculate core metrics such as household penetration, market share, and purchasing trends.
• Build and maintain clean data tables and views for recurring tracking reports and dashboards.
• Review outputs, perform data audits, and ensure data integrity before delivering insights.
• Use logic to segment data and isolate tracking cohorts.
• Clean, parse, and categorize unstructured text data.
• Translate technical results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python

Pandas

English

Data analysis

Education

Bachelor’s degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or related field

Tools

scikit-learn

statsmodels

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focusing on marketing effectiveness. The role engages with large-scale consumer and retail datasets, translating complex data into actionable metrics and clear stakeholder summaries.

Ideal candidates combine SQL and Python proficiency, a strong numbers sense, and attention to detail. Open to recent graduates through mid-level analysts, with remote LATAM flexibility.