Senior Analyst
Remote
RemotePart TimeSenior LevelMedium
Part TimeSenior LevelMedium
Job Summary
Develop end-to-end member lifecycle analytics by analyzing engagement from eligibility through ongoing care to uncover friction and drive actionable recommendations. Partner with Product, Marketing, and Operations to define success metrics, evaluate initiative effectiveness, and support a culture of experimentation for continuous improvement. Own the Member Growth Analytics scope, managing prioritization and cross-functional delivery while synthesizing complex datasets using SQL, Python, and business intelligence tools to inform strategic decisions.
Required Qualifications
- Bachelor's degree in Analytics, Data Science, Business, Economics, or a related quantitative discipline
- Minimum of 5 years of experience in product analytics, growth analytics, business intelligence, customer journey analytics, marketing analytics, or similar analytical roles
- Experience partnering closely with Product, Marketing and Operations teams to influence strategic business decisions
- Demonstrated experience analyzing customer or member behavior, conversion funnels, engagement, retention, product adoption, or other lifecycle metrics
- Experience measuring product features, marketing initiatives, experiments, or customer engagement strategies to inform future investment decisions
- Advanced analytical and technical skills, including proficiency with SQL
- Experience using Python (or a similar analytical programming language)
- Experience using modern business intelligence tools
- Strong project management and organizational skills, with the ability to manage multiple priorities simultaneously
- Strong analytical reasoning, including the ability to define success metrics, design measurement approaches, evaluate initiatives, and identify the underlying drivers of business performance
- Excellent communication skills with the ability to present complex analyses clearly and effectively to technical and non-technical audiences
- Ability to recognize data integrity issues and partner on improvements to data quality, instrumentation, and reporting capabilities
- Comfortable operating in ambiguity, with the ability to synthesize imperfect information, develop thoughtful hypotheses, and provide actionable recommendations without waiting for perfect data
Desired Qualifications
- Familiarity with healthcare analytics or experience in a healthcare-related industry
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