Data Analyst

About The Company Parachute Health is dedicated to transforming the post-acute care landscape by streamlining the medical equipment ordering process through innovative digital solutions. Recognizing the critical need for timely access to medical equipment upon patient discharge, the company aims to eliminate inefficiencies such as reliance on outdated fax systems and convoluted workflows. Parachute Health’s platform is designed to be significantly faster and more user-friendly, connecting hospitals, payors, and suppliers seamlessly. With a mission to ensure every patient receives the necessary equipment promptly, the organization is committed to enhancing patient outcomes, reducing healthcare costs, and driving operational efficiency. Backed by a strong network of clinicians, suppliers, health plans, and patients, Parachute Health is at the forefront of digital health innovation, striving to make healthcare delivery more effective and accessible.

About The Role The Lead Data Analyst at Parachute Health plays a pivotal role in driving data-informed decision-making across the organization. This position involves leading complex, cross-functional analytical projects that directly influence strategic business initiatives and product development. The successful candidate will be responsible for delivering actionable insights, developing analytical frameworks, and mentoring a team of data analysts. This role requires a blend of technical expertise, leadership skills, and business acumen to translate ambiguous business questions into structured analytical approaches. The Lead Data Analyst will collaborate closely with executive leadership and various stakeholders to identify opportunities for growth, efficiency, and innovation, fostering a data-driven culture within the company. The role offers an exciting opportunity to shape the future of healthcare technology through impactful data insights and leadership.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent experience
• 7+ years of experience in data analysis, business intelligence, or related analytical roles with a track record of delivering high-impact insights
• At least 1 year in senior-level roles with leadership and cross-functional responsibilities
• Experience working with modern data stacks and cloud data warehouses such as BigQuery, Snowflake, Redshift, or similar
• Expertise in SQL and data analysis, with strong proficiency in Python for statistical analysis
• Advanced experience with BI tools like Looker, including LookML, dashboard creation, and visualization best practices
• Knowledge of statistical methods, A/B testing, experimentation design, and causal inference
• Familiarity with data modeling concepts and collaboration with analytics engineers on data infrastructure
• Experience with predictive modeling, machine learning, or advanced analytics is a plus
• Proven leadership skills with the ability to mentor team members and lead analytical initiatives
• Strong problem-solving skills and the ability to structure ambiguous problems into clear analytical approaches
• Exceptional communication skills to translate complex analyses into compelling narratives for diverse audiences
• Ability to influence senior stakeholders and drive strategic decisions through data insights

Responsibilities

• Lead complex, cross-functional analyses that directly inform strategic business decisions and product development
• Manage end-to-end analytical projects from problem definition to insight delivery and impact assessment
• Design and implement analytical frameworks, metrics, and dashboards that promote self-service insights across the organization
• Establish and uphold standards for analytical rigor, documentation, and best practices
• Translate ambiguous business questions into structured analytical approaches with clear methodologies
• Lead high-complexity initiatives spanning multiple teams and business domains, ensuring timely and high-quality deliverables
• Communicate complex analytical findings clearly and effectively to both technical and non-technical audiences
• Mentor and develop data analysts, fostering a culture of continuous learning and improvement
• Partner with leadership to identify opportunities where data can enhance efficiency, growth, and overall business impact
• Facilitate stakeholder alignment by integrating analytical insights with broader business strategies
• Promote a culture of experimentation, measurement, and data-driven decision-making throughout the organization
• Encourage knowledge sharing, continuous feedback, and collaboration across teams to drive innovation

Benefits

• Medical, Dental, and Vision insurance coverage
• 401(k) Retirement Plan with company matching
• Remote-first work environment with optional office presence in New York City
• Equity Incentive Plan
• Annual company-wide bonus of up to 15%
• Flexible vacation policy to support work-life balance
• Summer Fridays — five Fridays off during summer months
• Monthly internet stipend to support remote work
• Annual home office stipend for setup and equipment
• Reimbursement for co-working space expenses
• Annual stipend dedicated to education and professional development

Equal Opportunity

Parachute Health is an equal opportunity employer committed to fostering an inclusive environment for all employees. We do not discriminate on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex, gender (including pregnancy, childbirth-related medical conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service, veteran status, disability, genetic information, or any other characteristic protected by applicable laws. We encourage applicants from diverse backgrounds to apply and join our mission-driven team. Applicants must be legally authorized to work in the United States at the time of application and throughout employment, as this role does not sponsor visas.