Work remotely and own the data that drives better patient outcomes.

Role Snapshot

• Data Analyst

• Location/Type: LATAM • Remote

• Pay: $2,080/month

• Schedule: Immediate opening

Own the full patient data ingestion lifecycle. You'll validate, transform, and manage healthcare data while helping teams make better decisions with clean, reliable information.

What You'll Do

• Own end-to-end patient data ingestion workflows.

• Validate incoming healthcare data files.

• Build and maintain ETL processes.

• Write SQL queries for data validation and analysis.

• Apply data corrections and transformations.

• Create scheduled and ad hoc reports.

• Partner across teams to resolve data issues.

• Document workflows and improve data standards.

Must-Haves

• Healthcare experience with a payer, large health system, or similar organization.

• Advanced SQL skills and database experience.

• Light Python coding experience.

• Direct experience with data loads and ETL processes.

• Advanced Excel skills, including VLOOKUP and Pivot Tables.

• Bilingual Spanish and English.

• Experience analyzing large datasets.

• Strong attention to detail and accuracy.

• Ability to work independently in a remote environment.

Nice to Have

• Contact center industry experience.

• Experience with healthcare or patient data reporting.

• Experience improving ETL workflows and data quality.

Perks & Pay

• Pay: $2,080/month

• Fully remote work setup.

• Government-mandated benefits.

• Work with global cross-functional teams.

• Immediate ownership of critical data operations.

Schedule & Setup

• 100% remote role.

• LATAM-based candidates preferred.

• Immediate start available.

• Daily work with SQL, Excel, Python, reporting, and ETL tools.

Impact & Growth

Your work ensures healthcare data is accurate, complete, and ready for downstream systems. You'll own critical data operations from day one while improving the quality and reliability of information that supports patient care.

You like ownership. You enjoy solving data problems, improving processes, and turning messy information into reliable outcomes.

At Urrly, fairness matters. We use AI to review every application against the same clear requirements for the role. This means every candidate is evaluated on job-related factors like skills, certifications, and experience—not on personal attributes such as gender, race, age, or background. Our goal is to create a more objective, consistent, and equal opportunity hiring process for all applicants.

Apply Today to work remotely while owning critical healthcare data operations and making a direct impact on patient outcomes.