Data Analyst (Healthcare)

TL;DR

Data Analyst (Python/Healthcare): Building and maintaining data workflows for network filings within the healthcare domain with an accent on data processing and query performance. Focus on translating complex business logic into functional SQL/Python solutions and ensuring data accuracy in a regulated environment.

Location: Must be based in Mexico, Uruguay, Argentina, Brazil, or Colombia. Work must be in alignment with US time zone coverage.

Company

hirify.global is a global software engineering company providing tailored digital solutions for various industries.

What you will do

• Translate complex business logic and rule sets into functional data solutions.
• Optimize SQL queries and Python scripts to improve performance and reliability.
• Lead small initiatives focused on operational and process improvements.
• Collaborate with engineering and business teams to deliver aligned data solutions.
• Investigate and troubleshoot technical issues affecting claims processing.
• Document incidents and create reports to support transparency and process optimization.

Requirements

• Strong experience with SQL and data analysis.
• Proficiency in Python scripting.
• Ability to work with complex datasets with high attention to detail.
• Experience in troubleshooting data and operational issues.
• Must be based in Mexico, Uruguay, Argentina, Brazil, or Colombia.
• Ability to work in alignment with US time zone coverage.

Nice to have

• Experience in the healthcare domain or provider network operations.
• Understanding of claims processing workflows.
• Experience optimizing large-scale data queries and scripts.
• Experience working in cross-functional distributed teams.

Culture & Benefits

• Vacation and sick pay provided according to the laws of your country.
• Health insurance support for you and your loved ones.
• Time off for state holidays regardless of the client's schedule.
• Financial support for IT certifications and access to top-tier learning platforms.
• Pleasant environment with corporate parties and frequent team get-togethers.