数据分析师
Lead Data Analyst
Parachute Health 正在通过作为医疗设备和用品的领先数字订购平台，重塑后急性护理。我们连接主要的医疗系统、医保计划和供应商，帮助患者在家获得救命产品。自推出以来，我们已连接了 300,000+ 临床医生和 3,000+ 供应商地点，覆盖所有 50 个州，并帮助了 15M+ 患者。最初作为一个 DME 电子处方工具，它已发展成为家庭医疗设备的首选订单管理平台。
加入我们的团队，为患者护理带来改变。
### **关于该职位**
高级数据分析师是数据分析师团队中的资深个人贡献者——在我们的分析层级中属于第四级，没有直接下属。你通过专业能力进行领导：设定分析标准，指导分析师，并且当领导需要一个真实答案而不是猜测时，你是他们首先想到的人。
数据分析师隶属于收入运营部门，但我们是一个核心职能，支持整个组织——临床运营、供应商绩效、医保和网络数据、产品、财务以及市场推广。工作范围广泛，设计如此。这份工作的核心是成为一名优秀的分析师：从企业任何角落提出的模糊问题出发，构建严谨的分析，并提供可执行的结论。我们招聘的是具备强大分析能力和广度的人才，而不是某一领域的深度专家。
### **职责**
#### **分析领导力**
- 领导高风险、通常模糊的问题的端到端分析——从问题定义到建议和影响评估。
- 设计仪表盘和报告框架，让利益相关者无需提交工单就能自行回答常规问题——并能识别出仪表盘并不是正确答案的情况。
- 设定分析严谨性、方法论和文档的标准。通过自身示范和审查他人的工作，而不是通过指令。
- 在能够增强结论而非装饰结论的地方应用统计方法、实验设计和因果推断。
- 在不同业务领域之间灵活切换，并在每个领域都具有可信度，而不是只专注于一个领域。
- 与领导层合作，发现数据如何推动效率、增长和改善结果——包括那些没人问过的问题。
#### **与数据分析工程的合作**
- 与数据分析工程师紧密合作进行数据建模。你将塑造仓库层中要构建的内容，而不仅仅是使用它。
- 将重复的分析需求转化为可复用的解决方案。
查看英文原文
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.
**Benefits**
- 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
_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](https://www.parachutehealth.com/cpra)._
_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._**