Lead Data Analyst

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 Lead Data Analyst drives data-driven decision-making across the organization by delivering actionable insights that shape business strategy. This role combines deep analytical expertise with leadership responsibilities by leading high-impact analyses, mentoring the analytics team, and partnering with stakeholders to solve complex business problems.

Responsibilities

Analytical Leadership

• Lead complex, cross-functional analyses that directly inform strategic business decisions and product direction.
• Own end-to-end analytical projects from problem definition through insight delivery and impact measurement.
• Design and implement analytical frameworks, metrics, and dashboards that enable self-service insights across the organization.
• Define and enforce standards for analytical rigor, documentation, and best practices.
• Translate ambiguous business questions into structured analytical approaches with clear methodologies.

Project & Team Leadership

• Lead high-complexity initiatives spanning multiple teams and business domains.
• Set project direction, ensure timely delivery, and maintain high-quality analytical standards.
• Translate complex analytical findings into clear, actionable recommendations for technical and non-technical audiences.
• Mentor data analysts on analytical techniques, business acumen, and career growth.

Strategic Contribution

• Partner with leadership to identify opportunities where data can drive efficiency, growth, and business impact.
• Facilitate alignment across stakeholders by integrating analytical insights with business context.
• Champion a culture of experimentation, measurement, and data-driven decision-making.
• Foster knowledge sharing, continuous feedback, and cross-team collaboration.

Qualifications 

Experience & Education

• Bachelor's degree in Computer Science, Data Science, related field, or equivalent experience.
• 7 years in data analysis, business intelligence, or related analytical roles delivering high-impact insights.
• 1 years in senior-level roles with leadership and cross-functional responsibilities.
• Experience working with modern data stacks and cloud data warehouses (BigQuery, Snowflake, Redshift, or similar).

Technical Skills

• Expert in SQL and data analysis with strong proficiency in Python for statistical analysis.
• Advanced experience with Looker or similar BI tools (LookML, dashboard development, visualization best practices).
• Knowledge of statistical methods, A/B testing, experimentation design, and causal inference.
• Experience with data modeling concepts and collaborating with analytics engineers on data infrastructure.
• Familiarity with predictive modeling, machine learning concepts, or advanced analytics is a plus.

Leadership & Soft Skills

• Proven ability to lead analytical initiatives and mentor team members.
• Strong problem-solving skills with ability to structure ambiguous problems and design analytical approaches.
• Exceptional communication skills translating complex analyses into compelling narratives for diverse audiences.
• Comfortable navigating ambiguity and driving decisions in fast-paced environments.
• Experience influencing senior stakeholders and driving business strategy through data insights.

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 III: $120,000 - $170,000

Data Analyst IV: $160,000 - $200,000

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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.