ML Data Analyst (Remote) - Market Insights

VerSprite; Tandil; Remote; ARS 108,354,000 - 170,271,000; Full time

Benefits offered by this job

100% remote

10 days PTO

USA holidays

Global collaboration

Access to real consumer data

Job summary

Prometeo Talent is seeking a Machine Learning Analyst for a 100% remote LATAM role. You will work with SQL databases and Python to extract, clean, and transform data from large consumer datasets, building models and dashboards for business insights.

The ideal candidate blends strong SQL and Python skills with a keen numbers sense and the ability to translate technical results into clear summaries for stakeholders in English. Open to recent graduates and mid-level professionals alike.

Qualifications

• Strong SQL and Python skills with experience turning data into actionable insights.
• Experience handling large consumer/retail datasets and translating results for stakeholders.
• Familiarity with data cleaning, parsing, and pattern matching in text fields.

Responsibilities

• Write, optimize, and execute SQL queries against relational databases and cloud data warehouses.
• Develop, run, and validate machine learning or statistical models to uncover consumer behaviors and forecast trends.
• Aggregate and describe core metrics such as market share and purchasing trends.
• Build and maintain data tables and dashboards fed by recurring reports.
• Audit query outputs and ensure data integrity before insights are shared.
• Segment data using conditional logic to identify tracking cohorts.
• Parse and categorize unstructured text data for analysis.
• Translate technical results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python

pandas

scikit-learn

statsmodels

English

Education

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

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Machine Learning Analyst for a 100% remote LATAM role. You will work with SQL databases and Python to extract, clean, and transform data from large consumer datasets, building models and dashboards for business insights.

The ideal candidate blends strong SQL and Python skills with a keen numbers sense and the ability to translate technical results into clear summaries for stakeholders in English. Open to recent graduates and mid-level professionals alike.