Lead Data Analyst U.S. Remote

Parachute Health, LLC; Northern (KY); Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Medical, Dental, Vision coverage

Remote-first culture

Annual performance bonus up to 15%

Home office stipend

Learning & development stipend

Job summary

Parachute Health, LLC is seeking a Lead Data Analyst to shape analytic strategy and lead high-impact analyses across revenue operations. You will design dashboards, drive rigorous methodologies, and mentor analysts while partnering with leadership to uncover data-driven opportunities.

The role emphasizes flexibility, cross-functional influence, and the ability to turn ambiguous questions into actionable conclusions with clear communication to diverse stakeholders.

Qualifications

• 8+ years in data analysis or BI, delivering decision-changing insights.
• 2+ years in a senior analyst capacity owning complex projects end-to-end.
• Experience supporting multiple functions from a central analytics team.
• Hands-on cloud data warehousing experience.

Responsibilities

• Lead end-to-end analyses on high-stakes questions from framing to recommendation.
• Design dashboards and reporting frameworks for self-serve insights.
• Set the bar for analytical rigor, methodology, and documentation.
• Apply statistical methods and causal inference where they sharpen conclusions.
• Move across business domains and stay credible in each domain.
• Partner with leadership to identify data-driven efficiency and growth opportunities.
• Mentor analysts and translate findings for technical and non-technical audiences.
• Influence senior stakeholders and challenge unsupported conclusions.

Skills

SQL

Python

Looker/LookML

BI dashboards

Experimentation design

Causal inference

Data modeling

Education

Bachelor's degree in quantitative or technical field

Tools

BigQuery

Snowflake

Redshift

Looker

Job description

Parachute Health is transforming post-acute care as the leading digital ordering platform for medical equipment and supplies. We connect major health systems, health plans, and suppliers to help patients get the life-saving products they need at home. Since launching, we've connected 300,000+ clinicians and 3,000+ supplier locations across all 50 states and helped 15M+ patients. What started as a DME ePrescribing tool has become the order management platform of choice for home medical equipment.

Join our team and make a difference in patient care.

About the Role

The Lead Data Analyst is the senior individual contributor on our Data Analytics team — a Level IV role on our analytics ladder, with no direct reports. You lead through expertise: setting the analytical bar, mentoring analysts, and being the person leadership comes to when a question needs a real answer rather than a guess.

Data Analytics sits under Revenue Operations, but we're a central function that supports the entire organization — clinical operations, supplier performance, payor and network data, product, finance, and go-to-market. The work is broad by design. The core of the job is being an excellent analyst: taking an ambiguous question from any corner of the business, building a rigorous analysis, and delivering a conclusion people can act on. We're hiring for analytical strength and range, not depth in one domain.

Responsibilities

Analytical leadership

• Lead end-to-end analyses on high-stakes, often ambiguous questions — from framing the problem through recommendation and impact measurement.
• Design dashboards and reporting frameworks that let stakeholders answer their own routine questions without opening a ticket — and recognize when a dashboard is the wrong answer.
• Set the bar for analytical rigor, methodology, and documentation. By example and by reviewing others' work, not by mandate.
• Apply statistical methods, experimentation design, and causal inference where they sharpen a conclusion rather than decorate it.
• Move between business domains and be credible in each, rather than owning one.
• Partner with leadership to identify where data can drive efficiency, growth, and improve outcomes — including the questions nobody has asked yet.

Partnership with analytics engineering

• Work closely with analytics engineers on data modeling. You\'ll shape what gets built in the warehouse layer, not just consume it.
• Turn recurring analytical needs into durable models instead of one-off queries.
• Hold a high standard for canonical definitions — when two reports disagree, you're the one who finds out why.

Team contribution (not people management)

• Mentor analysts on technique and business judgment. You don't manage anyone — you're the person newer analysts learn from.
• Translate findings into clear, concise language for both technical and non-technical audiences. If a new hire couldn't repeat the takeaway back to you, it isn't ready to ship.
• Influence senior stakeholders, including being the one who says "the data doesn't support that" to someone who wanted a different answer.

What we're looking for

Experience

• 8+ years in data analysis, business intelligence, or a comparable analytical role, with a track record of insights that changed how a business made decisions.
• 2+ years operating at a senior analyst level — owning complex projects end-to-end and holding others to a quality standard.
• Experience supporting multiple business functions from a central analytics team.
• Bachelor's degree in a quantitative or technical field, or equivalent experience.
• Hands-on experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, or similar).
• Nice to have: exposure to revenue and go-to-market data — pipeline, forecasting, funnel, retention, CRM.

Technical skills

• Expert-level SQL. Strong Python for statistical work.
• Advanced Looker or comparable BI tool experience — LookML, dashboard design, and semantic layer thinking.
• Working knowledge of experimentation design and causal inference — enough to catch correlation being mistaken for causation.
• Comfort collaborating with analytics engineers on data modeling and warehouse design.

How you work

• You take a half-formed business question and turn it into a structured analysis without someone holding your hand.
• You mentor without formal authority — people want your input because it's good, not because you outrank them.
• You get up to speed on an unfamiliar part of the business quickly, and you'd rather serve ten stakeholders than one.
• You operate well in ambiguity and move with urgency.

Comfort working with data adjacent to patient and healthcare information, and sound judgment about handling sensitive information, is a plus given our industry.

• Medical, Dental, and Vision Coverage: Comprehensive plans with options for low-to-no-cost premiums.
• Employer HSA Contribution: Company-funded contributions to your Health Savings Account.
• 401(k) Retirement Plan
• Equity Incentive Plan
• Annual Company-Wide Bonus: Opportunity for up to 15% bonus based on company performance.
• Remote-First Culture: We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.
• Flexible Vacation Policy
• Summer Fridays: 5 additional Fridays off during the summer (separate from PTO).
• Home Office and Wellness Stipend
• Monthly Internet Stipend
• Annual Learning and Development Stipend

Base Salary Bands (based on experience and level)

$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.

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.