Remote ML Data Analyst: SQL, Python & ML Models

Anyone Ai Inc.; La Pampa; Remote; ARS 63,611,000 - 98,446,000; Full time

Benefits offered by this job

100% remote work

PTO 10 days

USA holidays

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based marketing analytics client. The role targets candidates who enjoy turning large-scale consumer data into actionable metrics, with strong SQL, Python (pandas), and English communication skills. Open to recent graduates through mid-level analysts with quantitative backgrounds.

The position emphasizes translating data into clear summaries for stakeholders and working with datasets spanning consumer and retail contexts.

Qualifications

• Bachelor's degree in a related field with coursework in database management or quantitative data analysis.
• Strong SQL skills with advanced joins and CASE WHEN logic.
• Proficiency in Python (pandas) for data cleaning and multi-step transformations.
• Experience with data modeling and relational database design.

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, unpivot, and aggregate raw data to calculate core business metrics like household penetration and market share.
• Build and maintain clean data tables and views for recurring tracking reports and dashboards.
• Review query outputs, perform data audits, and ensure data integrity before insights are shared.
• Translate technical results into clear summaries for stakeholders in English.
• Clean, parse, and categorize unstructured or semi-structured text data.

Skills

SQL

Python

Pandas

English

Data analysis

Data cleaning

Education

Bachelor's degree in related field

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based marketing analytics client. The role targets candidates who enjoy turning large-scale consumer data into actionable metrics, with strong SQL, Python (pandas), and English communication skills. Open to recent graduates through mid-level analysts with quantitative backgrounds.

The position emphasizes translating data into clear summaries for stakeholders and working with datasets spanning consumer and retail contexts.