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Data Scientist III (Commercial Analytics)
Posted 15 days agoViewed
💎 Seniority level: Senior, 5+ years
💸 Salary: 148750.0 - 175000.0 USD per year
🔍 Industry: Healthcare Technology
🏢 Company: Cedar👥 101-250💰 $68,361,000 Series D over 2 years ago🫂 Last layoff over 2 years agoMedicalBillingPaymentsHealth CareFinTech
🗣️ Languages: English
⏳ Experience: 5+ years
Requirements:
- 5+ years of experience in progressive analytical roles, with demonstrated impact on business outcomes
- Advanced proficiency in SQL and expertise with visualization tools (e.g., Looker, Tableau, Power BI)
- Strong experience developing and maintaining data pipelines in dbt
- Proficiency in Python for data analysis, statistical modeling, and notebook-based explorations
- Demonstrated ability to translate ambiguous business problems into structured analytical approaches
- Exceptional presentation and communication skills, with ability to influence decision-making at all levels
- Strong understanding of data architecture principles and best practices
- A proactive attitude, an ownership mentality, and a growth mindset
- Analytical perspective and passion for finding actionable opportunities and insights within complex data
- Knowledge of or experience in the healthcare industry and collaboration with business teams is a plus
Responsibilities:
- Design, develop, and optimize comprehensive analytics tooling and dashboards that drive strategic decision-making
- Lead and independently execute complex ad-hoc data analyses, translating findings into scalable analytics solutions
- Serve as a trusted advisor to client-facing teams, providing data-driven insights that enhance client relationships and outcomes
- Architect and develop new data pipelines in dbt, ensuring data quality, reliability, and scalability
- Utilize Python and SQL for notebook-based exploration and sophisticated ad-hoc analyses to support commercial teams and Cedar customers
- Present and clearly communicate data findings and underlying methodology to commercial stakeholders and external partners
- Partner with Data Engineers to design and implement robust data infrastructure for complex analyses
- Develop deep expertise in Cedar's platform mechanics and data models to identify optimization opportunities
- Proactively identify strategic areas where advanced analytics can create significant business value
- Contribute to team initiatives around technical and collaborative excellence
- Influence squad vision-setting and strategic direction
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