The Most Authentic View of Who Is Hiring in Healthcare
0
companies
0
jobs
Any inquiries, reach out to us at talent@aqpsearch.com
Data Analyst
Parachute Health
IT, Data Science
New York, NY, USA · Remote
USD 90k-130k / year + Equity
Posted on Oct 7, 2025
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. In the most extreme cases, this equipment means life or death. 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.
The Data Analyst II contributes meaningfully to data-driven decision-making by delivering analyses and insights that inform business and product decisions. This role combines growing analytical capabilities with increasing autonomy, managing projects independently while collaborating across teams to solve business problems.
Responsibilities:
Analysis & Insights
- 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.
Collaboration & Growth
- 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.
- Actively participate in team discussions, bringing forward multiple approaches to problems and weighing tradeoffs.
- Apply feedback to continuously improve analytical work and articulate areas for personal growth.
- Begin mentoring junior analysts on specific tasks, tools, and analytical techniques.
Quality & Standards
- Follow and actively reinforce team standards for analysis, documentation, and data quality.
- Identify and raise friction points in processes or data, suggesting simple improvements.
- Show resilience by adjusting approach when analyses don't go as planned.
- Contribute to team knowledge sharing by documenting learnings and best practices.
Qualifications:
Experience & Education
- 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.
- Demonstrated track record of increased responsibilities and impact in analytical work.
Technical Skills
- 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.
- Understanding of statistical concepts and their application to business problems.
- Familiarity with data modeling concepts and modern data warehouses (BigQuery, Snowflake, Redshift, or similar).
Analytical & Soft Skills
- Strong problem-solving abilities with attention to detail and analytical rigor.
- Ability to manage multiple projects with growing autonomy and prioritize effectively.
- Clear communication skills, translating data findings into business insights.
- Curiosity and willingness to learn new tools, techniques, and business domains.
- Collaborative mindset with openness to feedback and coaching.
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
Base Salary Bands (based on experience and level)
Data Analyst II: $90,000 - $130,000
California job applicants may access the Notice of Collection of Personal Information and Privacy Policy with information and rights required by the California Privacy Rights Act (CPRA) the link here.
We are proud to be an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.
This role is not eligible for employer visa sponsorship. Applicants must be legally authorized to work in the United States at the time of application and for the duration of employment. The Company does not sponsor employment authorization for this position, nor will it provide assistance in obtaining temporary work authorization