Lead Data Analyst

Parachute Health is a digital ordering and order management platform for post-acute care, connecting health systems, health plans, suppliers, and patients. The Lead Data Analyst will lead complex, ambiguous analyses, establish analytical standards, build dashboards and reporting frameworks, collaborate on data modeling, mentor analysts, and provide actionable insights to senior stakeholders across the organization.

Responsibilities:

• 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
• 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
• 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

Requirements:

• 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)
• 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
• 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
• 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
• Nice to have: exposure to revenue and go-to-market data — pipeline, forecasting, funnel, retention, CRM
• Comfort working with data adjacent to patient and healthcare information, and sound judgment about handling sensitive information, is a plus given our industry