Analytics and Insights Manager
Leads end-to-end delivery of healthcare analytics projects using real-world data, manages client relationships, and drives insights in areas like patient journeys and market analysis. Requires 3-6 years experience, quantitative degree, and proficiency in SQL/Python/R.
About the job
Key Accomplishments in First 12 Months
- Successfully delivered complex analytics projects on time and within budget, exceeding client expectations.
- Built strong client relationships resulting in high satisfaction and repeat business.
- Implemented process improvements for team efficiency.
- Developed team skills and fostered high-performing culture.
- Identified new business opportunities within client accounts.
- Demonstrated thought leadership in healthcare analytics.
- Deepened expertise in market landscaping, patient journey, line-of-therapy analytics, segmentation, targeting, commercial assessments, forecasting, and BD & Licensing.
Responsibilities
- Manage end-to-end analytics project delivery from scoping to execution.
- Collaborate with Data Science, Engineering, and Product Management teams.
- Serve as primary client point of contact, addressing concerns.
- Monitor project progress, identify risks, and implement mitigations.
- Stay current with healthcare analytics trends and incorporate into services.
Requirements
- Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics) or equivalent experience.
- 3-6 years of experience in healthcare analytics with proven client delivery.
- Strong project management and client relationship skills.
- Excellent communication to explain complex concepts to non-technical audiences.
- Proficiency in SQL, Python, or R.
AI Expectations
- Strategic AI use for problem-solving, feedback loops, and decisions.
- Curiosity in exploring AI tools and sharing workflows.
- Integrate AI into processes for writing, data analysis, content, and design using tools like Notion AI, Perplexity, Claude, etc.
Nice-to-Haves
- Consulting or professional services experience in healthcare.
- Experience with AWS, Google Cloud Platform, or Azure.
- Knowledge of HIPAA and GDPR.
- Advanced skills in predictive modeling, machine learning, and data visualization.
Compensation
Base pay: $112,000–$165,000 USD annually (varies by location: SF Bay Area/NYC $129,000–$165,000; other US $112,000–$145,000). Eligible for bonuses, equity, health insurance, 401(k) match, and flexible time off.
Skills
SQL, Python, R, AWS, GCP, Azure, Predictive Modeling, Machine Learning, Data Visualization, Healthcare Analytics
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