Remote Data Analyst: SQL, Python & ML Insights

Sigma; La Pampa; Remote; ARS 61,494,000 - 99,928,000; Full time

Benefits offered by this job

100% remote

Job summary

Prometeo Talent is seeking a Data Analyst for a remote LATAM position supporting a U.S.-based company focused on marketing effectiveness measurement. The role involves querying, transforming, and analyzing large consumer and retail datasets to generate actionable insights for clients and internal stakeholders.

The ideal candidate has 0–4 years of experience, strong SQL skills, and a solid understanding of relational databases. Advanced English is required for collaboration across teams.

Qualifications

• 0–4 years of experience in Data Analytics, Reporting, BI, or similar roles.
• Bachelor's degree in a quantitative field as listed.

Responsibilities

• Extract, query, and manipulate data using SQL from relational databases and cloud data warehouses.
• Analyze large transactional and consumer datasets to identify trends and insights.
• Build and maintain structured datasets for recurring reports and analyses.
• Calculate key business metrics such as household penetration, market share, and category trends.
• Clean and categorize raw and semi-structured data.
• Validate data outputs and perform quality checks for accuracy.
• Collaborate with internal teams to support reporting needs.
• Translate complex datasets into clear findings and recommendations.

Skills

Advanced English

SQL

Relational databases

Data validation

Trends & insights

Analytical thinking

Education

Bachelor's degree in Business Analytics, Statistics, Mathematics, CS, Economics, Marketing, Engineering, or related quantitative field

Tools

Power BI

Looker

Tableau

Python (basic)

Job description

Prometeo Talent is seeking a Data Analyst for a remote LATAM position supporting a U.S.-based company focused on marketing effectiveness measurement. The role involves querying, transforming, and analyzing large consumer and retail datasets to generate actionable insights for clients and internal stakeholders.

The ideal candidate has 0–4 years of experience, strong SQL skills, and a solid understanding of relational databases. Advanced English is required for collaboration across teams.