Data Analyst II - Remote

Overview

Nearly half of patients needing medical equipment at discharge don’t get it in time. The ordering process is too convoluted and is still primarily handled by fax. These inefficiencies lead to higher cost of care and poorer patient outcomes. At Parachute Health, it is our mission to make sure that every patient gets what they need, when they need it. We achieve this by driving efficiency through digital connectivity into every aspect of the ordering process, making it delightfully simple.

We’re leading the charge with a platform that is 10 times faster than the status quo. We connect with major hospitals, payors, and suppliers of life-saving products. Our vision of a “delightfully simple” digital ordering experience for clinicians pushes us forward to transforming the world of post-acute care.

We’ve built a strong network of clinicians, suppliers, health plans, and patients that we serve every day—but we’re ready to amplify our story in a bigger, more systematic way. That’s where you come in.

In Short

• Conduct medium- to high-complexity analyses with minimal guidance, delivering actionable insights to stakeholders.
• Own individual analytical projects from scoping through delivery, managing timelines and expectations.
• Build and maintain dashboards and reports that enable teams to track key metrics and make informed decisions.
• Contribute to the development of analytical frameworks and metrics definitions.
• Translate business questions into structured analytical approaches and clearly communicate findings.
• Partner with cross-functional teams including product, operations, and business stakeholders to understand needs and deliver insights.
• Communicate analysis results clearly to both technical and non-technical audiences.
• Follow and actively reinforce team standards for analysis, documentation, and data quality.
• Identify and raise friction points in processes or data, suggesting simple improvements.
• Begin mentoring junior analysts on specific tasks, tools, and analytical techniques.

Requirements

• Bachelor's degree in Computer Science, Data Science, related field, or equivalent experience.
• 3+ years of professional experience in data analysis, business intelligence, or related analytical roles.
• Strong proficiency in SQL for data extraction and analysis.
• Experience with Looker or similar BI tools for dashboard development and data visualization.
• Working knowledge of Python or similar tools for data analysis and automation.

Benefits

• Medical, Dental, and Vision Coverage
• 401(k) Retirement Plan
• Remote-First Company with the option to work at our New York City office
• Equity Incentive Plan
• Annual Company-Wide Bonus (up to 15%)
• Flexible Vacation Policy
• Summer Fridays - 5 Fridays Off During Summer (Separate From PTO)
• Monthly Internet Stipend
• Annual Home Office Stipend
• Co-Working Space Reimbursement
• Annual stipend for education and development