Data Analyst

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

Salary Range

The salary range for this role is $2,800 - $6,800 USD gross per month (Based on experience and performance during the interview process)

About the company

With a mission to financially empower the next generation, the company is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at the company and help create the future of shopping!

About the Role

the company is currently seeking a Data Analyst to help drive business outcomes through analytics. This role presents an opportunity to work in a fast-paced, high growth environment while partnering with stakeholders across the organization to identify opportunities, measure performance, and improve operational efficiency.

You will collaborate with teams across Product, Engineering, Finance, Sales, Marketing, Support, Legal, and People Operations to define key metrics, build reporting solutions, and deliver actionable analysis. Responsibilities include writing SQL queries, developing dashboards, performing exploratory analyses, and contributing Python-based analytics workflows that support scalable decision-making across the business.

What You’ll Do

• Work closely with business teams to understand their priorities and analytics needs
• Create sophisticated analyses and reporting to provide insights at scale that support strategic initiatives and empower data-informed decision-making
• Visualize and articulate analytics results to make it easy for stakeholders to interpret and take actions
• Help stakeholders identify new opportunities through data analysis
• Create, monitor, review, and analyze reports and dashboards, take initiative to fix issues that arise and conduct root cause analyses
• Utilize modern AI tools, including LLMs, copilots, and workflow automation platforms, to enhance analytical productivity and develop scalable solutions to business problems

What We Look for

• Degree in statistics, math, actuarial science, economics, data science, computer science or related quantitative discipline
• Master’s degree or 3+ years of professional experience working with data, which can include: complex dataset creation, reporting, profiling, and machine learning
• Expert in using SQL to extract data and create actionable data sets
• Experience with Python for data processing and analytics
• Ability to complete analyses with minimal guidance
• Experience with data visualization tools such as Redash, Tableau, Looker or Power BI
• Comfortable making impactful decisions in a fast-paced and sometimes ambiguous environment, able to pivot quickly to new priorities
• Excellent problem-solving skills
• Strong business judgment and communication skills
• Fluent in English

Preferred Qualifications

• Graduate degree in a quantitative discipline
• Experience optimizing operational and financial performance
• Experience in payments, financial services, banking, fintech, BNPL

The Tech You’ll Work With

• Python
• Redshift, PostgreSQL
• Data build tool (dbt)
• AWS, G Suite, Mac
• Coding agents Claude, ChatGPT

Interview Process

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• Coding assessment (~1.5 hours)
• Interview with recruiters (30 min)
• Verbal case study interview. Share how you approach new problems. A “How would you…” conversation.
• Verbal behavioral interview. Share your problem-solving experience. A “Tell me about a time when you…” conversation.
• Offer!

About You

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversi