Data Analyst

Prometeo Talent

Data Analyst at a high-growth martech startup analyzing consumer datasets to generate actionable insights for clients. Focused on querying and transforming large-scale data sets.

Posted 6/16/2026full-timeRemote • 🇨🇴 ColombiaMid-LevelSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLdata analysisdata validationdata manipulationdata cleaningdata categorizationbusiness metrics calculationreportingdata structuresdata insights

Soft Skills

collaborationcommunicationanalytical thinkingproblem-solvingattention to detail

Certifications & Qualifications

Bachelor's degree in Business AnalyticsBachelor's degree in StatisticsBachelor's degree in MathematicsBachelor's degree in Computer ScienceBachelor's degree in EconomicsBachelor's degree in MarketingBachelor's degree in Engineering

Industry Keywords

Data AnalyticsBusiness Intelligencerelational databaseslarge datasetstransactional datasetsconsumer datasetsmarket sharehousehold penetrationpurchasing behaviorcategory trends

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

Extract, query, and manipulate data using SQL from relational databases and cloud data warehouses.
Analyze large transactional and consumer datasets to identify trends, patterns, and business insights.
Build and maintain structured datasets that support recurring reports and business analyses.
Calculate key business metrics such as household penetration, market share, purchasing behavior, and category trends.
Work with raw and semi-structured data, cleaning and categorizing information as needed.
Validate data outputs and perform quality checks to ensure data accuracy and integrity.
Collaborate with internal teams to support reporting needs and answer business questions through data.
Translate complex datasets into clear findings and recommendations.

Requirements

What you’ll need

0–4 years of experience in Data Analytics, Reporting, Business Intelligence, or similar analytical roles.
Advanced English level (written and spoken).
Strong SQL skills, including joins, filtering, aggregations, GROUP BY statements, and conditional logic.
Understanding of relational databases, table relationships, and data structures.
Experience working with large datasets and performing data validation.
Ability to identify trends, anomalies, and meaningful business insights from data.
Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, Engineering, or a related quantitative field.

Benefits

Comp & perks

10 days of PTO to recharge wherever you choose.
Enjoy USA Holidays.
100% remote work—design the work-life balance that fits you best.
Collaborate with a global, multidisciplinary team.
Develop your SQL, analytics, and business intelligence skills while working on impactful projects.