Remote ML Analyst — Consumer Insights & Data Metrics

Prometeo Talent; United States; Remote; USD 7,800 - 12,000; Full time

Benefits offered by this job

PTO 10 days

100% remote

Job summary

Prometeo Talent is recruiting a Data Analyst (Machine Learning) for a US-based client. You will transform transactional and behavioral data into clear metrics and dashboards, building models to identify consumer behavior patterns and trends.

The role blends technical work with business insight, requiring strong communication for English-speaking stakeholders. The ideal candidate will have SQL and Python expertise, a data-driven mindset, and the ability to explain complex results to non-technical

Qualifications

• 0–4 years of experience in data analysis or analytics.
• Advanced English, both written and spoken.
• Basic to intermediate SQL knowledge, including JOINs, aggregations and CASE WHEN.
• Experience using Python for data cleaning and processing with pandas.
• Familiarity with ML libraries (scikit-learn).
• Experience with text data processing is a plus.

Responsibilities

• Create, optimize and run SQL queries to extract information from relational databases and cloud data warehouses.
• Develop, run and validate machine learning, predictive or statistical models to identify consumer behavior patterns and project trends.
• Transform and group transactional data to calculate business metrics such as household penetration and market share.
• Create and maintain organized data tables and views that feed recurring reports and dashboards.
• Review results and perform data audits to ensure data quality.
• Segment data using filters and conditional logic.
• Clean and categorize unstructured text data.
• Summarize technical results for English-speaking teams.

Skills

SQL

Python

Machine Learning

Data Cleaning

English Advanced

Education

University degree in related field

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is recruiting a Data Analyst (Machine Learning) for a US-based client. You will transform transactional and behavioral data into clear metrics and dashboards, building models to identify consumer behavior patterns and trends.

The role blends technical work with business insight, requiring strong communication for English-speaking stakeholders. The ideal candidate will have SQL and Python expertise, a data-driven mindset, and the ability to explain complex results to non-technical