Parachute Health is looking to solve the problem of patients not receiving medical equipment in time due to an inefficient ordering process, leading to higher costs and poorer patient outcomes.
Requirements
- Strong proficiency in SQL for data extraction and analysis.
- Experience with Looker or similar BI tools for dashboard development and data visualization.
- Working knowledge of Python or similar tools for data analysis and automation.
- Understanding of statistical concepts and their application to business problems.
- Familiarity with data modeling concepts and modern data warehouses (BigQuery, Snowflake, Redshift, or similar).
- Strong problem-solving abilities with attention to detail and analytical rigor.
- Ability to manage multiple projects with growing autonomy and prioritize effectively.
Responsibilities
- Conduct medium- to high-complexity analyses with minimal guidance, delivering actionable insights to stakeholders.
- Own individual analytical projects from scoping through delivery, managing timelines and expectations.
- Build and maintain dashboards and reports that enable teams to track key metrics and make informed decisions.
- Contribute to the development of analytical frameworks and metrics definitions.
- Translate business questions into structured analytical approaches and clearly communicate findings.
- Partner with cross-functional teams including product, operations, and business stakeholders to understand needs and deliver insights.
- Apply feedback to continuously improve analytical work and articulate areas for personal growth.
Other
- Bachelor's degree in Computer Science, Data Science, related field, or equivalent experience.
- 3+ years of professional experience in data analysis, business intelligence, or related analytical roles.
- Demonstrated track record of increased responsibilities and impact in analytical work.
- Clear communication skills, translating data findings into business insights.
- Collaborative mindset with openness to feedback and coaching.
