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Data Analyst II
Parachute Health
HybridHybrid
Original Job Summary
Overview
At Parachute Health, our mission is to ensure every patient receives the necessary medical equipment on time by simplifying the ordering process through digital connectivity. The Data Analyst II role is vital in driving data-driven decision-making and transforming post-acute care.
Responsibilities
Analysis & Insights:
- Conduct medium- to high-complexity analyses with minimal guidance.
- Own analytical projects from scoping through delivery.
- Build and maintain dashboards and reports to track key metrics.
- Develop analytical frameworks and translate business questions.
Collaboration & Growth:
- Partner with cross-functional teams including product, operations, and business stakeholders.
- Communicate results to both technical and non-technical audiences.
- Participate in team discussions and mentor junior analysts.
Quality & Standards:
- Follow team standards for analysis, documentation, and data quality.
- Identify friction points and suggest improvements.
- Document learnings and best practices.
Qualifications
- Bachelor's degree in a related field or equivalent experience.
- 3+ years of professional experience in data analysis or business intelligence.
- Proficiency in SQL, BI tools (Looker), and Python.
- Understanding of statistical concepts and modern data warehouses (BigQuery, Snowflake, Redshift).
Benefits
- Medical, Dental, and Vision Coverage
- 401(k) Retirement Plan
- Remote-First with New York City office option
- Equity Incentive Plan
- Annual Company-Wide Bonus (up to 15%)
- Flexible Vacation Policy and Summer Fridays
- Monthly Internet and Annual Home Office Stipends
- Co-Working Space Reimbursement and education stipend
Key skills/competency
- Data Analysis
- SQL
- Python
- Business Intelligence
- Dashboard Development
- Data Visualization
- Mentoring
- Collaboration
- Statistical Analysis
- Data Quality
How to Get Hired at Parachute Health
🎯 Tips for Getting Hired
- Research Parachute Health's culture: Study their mission, values, and success stories.
- Customize your resume: Highlight SQL, Python, and BI experience clearly.
- Emphasize data analysis: Detail your project delivery and dashboard skills.
- Prepare case studies: Share examples of analytical problem-solving in interviews.
📝 Interview Preparation Advice
Technical Preparation
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Practice SQL queries and data extraction techniques.
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Develop dashboards using Looker or similar tools.
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Improve Python scripting for data automation.
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Review data modeling and warehousing concepts.
Behavioral Questions
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Prepare examples of teamwork and mentoring experiences.
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Describe managing multiple projects effectively.
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Explain handling feedback in challenging projects.
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Discuss communicating complex data to non-experts.