Pearl Health is looking to transform complex data into insights that shape clinical outcomes and drive business forward, impacting the future of value-based healthcare.
Requirements
- Expert-level SQL and Python skills for data manipulation, analysis, and modeling.
- Proven success turning business needs into end-to-end data solutions, ideally with Snowflake and dbt.
- Experience utilizing rigorous statistical methods, including regression modeling and hypothesis testing, to quantify business impact and drive key decisions.
- Familiarity with AWS cloud architectures and modern data stack tools.
- Experience designing and maintaining conceptual or functional data marts.
Responsibilities
- Partner with Product, Engineering, Customer Success, and other teams to translate business challenges into actionable analytical solutions.
- Build and maintain data assets, dashboards, and reports that deliver insights and unlock decision-making.
- Collaborate with Data Engineering to design and build data marts and pipelines in Snowflake & dbt that directly serve stakeholder needs.
- Translate complex business challenges into analytical frameworks, leveraging statistical modeling (e.g. regression analysis) to provide actionable recommendations and influence key decisions.
- Manage a prioritized backlog of requests, balancing competing stakeholder needs with business impact.
- Contribute to the company’s analytics strategy and roadmap, identifying opportunities with a 1–2 year horizon.
- Help establish standards and workflows for data analysis, reporting, and dashboard development.
Other
- 8+ years of experience delivering analytics across the data pipeline, from modeling to stakeholder engagement.
- Strong track record collaborating with non-technical stakeholders, including executives, to communicate insights clearly and persuasively.
- Mentor analysts across the team, sharing best practices in analysis, stakeholder engagement, and data storytelling.
- Direct experience in healthcare, insurance, or other data-rich, regulated industries.
- Background working in a fast-paced startup environment.
