Remote ML Data Analyst: Market Insights & Trends

TELUS Digital; Tandil; Remote; ARS 108,178,000 - 169,994,000; Full time

Benefits offered by this job

Remote work across LATAM

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a U.S.-based client to turn large consumer and retail datasets into clear, actionable metrics. You will write, optimize, and validate SQL queries and apply ML or statistical models, with results explained in plain English to stakeholders.

The ideal candidate has solid Python (pandas) skills, experience handling messy text fields, and the ability to translate complex results into concise summaries.

Qualifications

• 0 to 4 years of experience in Data Analysis or related roles.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills with JOINs and CASE WHEN.
• Python scripting for data cleaning with pandas.
• Familiarity with ML libraries such as scikit-learn or statsmodels.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud warehouses.
• Develop, run, and validate machine learning or statistical models to uncover consumer behaviors and trends.
• Transform raw or transactional data into core metrics for dashboards and reports.
• Build and maintain clean data tables and views feeding recurring reports.
• Translate technical results into clear summaries for stakeholders in English.

Skills

Advanced English

SQL queries

Python (pandas)

Data cleaning

Data modeling understanding

Education

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

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a U.S.-based client to turn large consumer and retail datasets into clear, actionable metrics. You will write, optimize, and validate SQL queries and apply ML or statistical models, with results explained in plain English to stakeholders.

The ideal candidate has solid Python (pandas) skills, experience handling messy text fields, and the ability to translate complex results into concise summaries.