Data Analyst — AI-Driven Insights for Growth

United States Digital Space LLC; Bogotá; Presencial; COP 97.623.000 - 237.083.000; Jornada completa

Descripción de la vacante

United States Digital Space LLC is seeking a Data Analyst to drive business outcomes through analytics in a fast-growing setting. You will partner with Product, Engineering, Finance, Sales, Marketing, Support, Legal, and People Operations to define metrics, build dashboards, and deliver actionable insights.

Responsibilities include writing SQL, developing dashboards, performing exploratory analyses, and contributing Python-based analytics workflows that support scalable decision-making across

Formación

• Degree in statistics, math, economics, data science or related quantitative field
• Master’s degree or 3+ years of professional data experience
• Expert in using SQL to extract data and create datasets
• Experience with Python for data processing and analytics
• Experience with Redash/Tableau/Looker/Power BI for visualization
• Fluent in English
• Ability to complete analyses with minimal guidance
• Comfortable in fast-paced and ambiguous environments

Responsabilidades

• Work closely with business teams to understand analytics priorities
• Create analyses and reporting to provide scalable insights
• Visualize analytics results for easy stakeholder interpretation
• Identify new opportunities through data analysis
• Create, monitor, and analyze reports and dashboards and fix issues
• Develop scalable analytics workflows using Python-based tooling

Conocimientos

SQL

Python

Data Visualization

Fluent English

Educación

Degree in statistics, math, economics, data science or related quantitative field

Herramientas

Redash

Tableau

Looker

Power BI

PostgreSQL

dbt

AWS

Descripción del empleo

United States Digital Space LLC is seeking a Data Analyst to drive business outcomes through analytics in a fast-growing setting. You will partner with Product, Engineering, Finance, Sales, Marketing, Support, Legal, and People Operations to define metrics, build dashboards, and deliver actionable insights.

Responsibilities include writing SQL, developing dashboards, performing exploratory analyses, and contributing Python-based analytics workflows that support scalable decision-making across