Remote ML Data Analyst: SQL, Python and Insights

Anyone Ai Inc.; La Pampa; Remote; ARS 90,873,000 - 136,310,000; Full time

Benefits offered by this job

100% remote

USA Holidays

10 days PTO

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client's team, focusing on large-scale consumer datasets. The role emphasizes SQL, Python (pandas), and turning data into actionable metrics for business decisions.

Open to recent grads through mid-level professionals, with strong quantitative backgrounds and ability to communicate findings in English to stakeholders.

Qualifications

• 0–4 years of data/analytics experience or internships welcome.
• Advanced English (written and spoken).
• Strong SQL with joins, aggregations, and CASE logic.
• Python for data cleaning, manipulation, and processing (pandas).
• Experience with predictive/statistical modeling libraries.

Responsibilities

• Write, optimize, and run SQL queries to pull data from relational databases and cloud warehouses.
• Develop and validate ML, predictive, or statistical models to uncover insights.
• Aggregate raw data into core metrics like market share and trends.
• Build and maintain clean data tables and dashboards for stakeholders.
• Audit query outputs to ensure data accuracy before insights are shared.
• Segment data using conditional logic to isolate cohorts.
• Parse and categorize unstructured text data.
• Translate results into clear English summaries for stakeholders.

Skills

SQL

Python

English

Data analysis

Education

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

Tools

Pandas

scikit-learn

statsmodels

BigQuery

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client's team, focusing on large-scale consumer datasets. The role emphasizes SQL, Python (pandas), and turning data into actionable metrics for business decisions.

Open to recent grads through mid-level professionals, with strong quantitative backgrounds and ability to communicate findings in English to stakeholders.