Pearl Health · 11 months ago
Staff Data Analyst
Pearl Health provides an integrated platform to help primary care providers focus their attention on the patients who need it. As a Staff Data Analyst, you will build robust data analytics infrastructure and drive data-informed decisions that impact clinical outcomes and P&L, collaborating with various teams to develop analytical solutions and maintain KPIs.
HealthcareHealth Care
Responsibilities
Translate the company’s goals and vision into its strategy and operations by surfacing insights from quantitative analyses in business intelligence systems (Mode and Hex)
Own the design, development, and maintenance of data pipelines in Snowflake & dbt, with a strong emphasis on data quality standards and data accuracy across various data sources, working with a high degree of autonomy in addition to support from your manager and Engineering
Establish and champion best-in-class data architectures, encompassing schema design, data ontologies, governance processes, and optimization strategies (query and computer fine tuning) to ensure scalable, reliable, and well-governed data assets
Manage ambiguity while working with cross-functional teams on complex projects, with a focus on defining data requirements, developing analytical models, and interpreting results
Partner with Data Engineering and Product to create end-to-end data pipelines that turn raw data into actionable insights for non-technical stakeholders
Contribute to the development of the data analytics roadmap and strategy by collaborating with leadership in the Data Science and Analytics organization to identify opportunities and propose technical and business-level solutions with a medium-term (1-2 year) time horizon
Evaluate new data technologies and tools (including data warehouses, orchestration systems, and BI tools) to enhance the team's capabilities
Mentor other data analysts, providing guidance on analytical techniques and best practices
Help your manager establish standards, design guidelines, and SOPs for analytical workflows, e.g., dashboard development, EDA, and ingestion of new datasets
Qualification
Required
Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, or related field)
8+ years of experience in delivering business analytics across the data pipeline: data ingestion, data architecture/schema design (including dimensional modeling), data transformation, data analysis, and reporting data to business stakeholders (including data visualization)
Demonstrated ability to design data schemas that maximize dataset utility by analyzing input data, understanding business and technical needs, and structuring staging tables, functional data marts, or conceptual data marts to capture ontological relationships
Expert proficiency in SQL and Python for data manipulation, analysis, and modeling
Excellent communication, presentation, and facilitation skills, with the ability to explain complex concepts clearly and concisely
Thoughtful collaborator with a passion for building analytical systems while balancing the tradeoffs between speed and thoroughness in development and scalability
Preferred
Strong experience building end-to-end data pipelines for business stakeholders, direct experience using Snowflake, PySpark, and DBT preferred
Experience in specifying cloud architecture using Terraform is a plus
Familiarity with AWS cloud architectures
Healthcare or insurance experience, and/or experience working in a startup is preferred
Benefits
Annual discretionary bonus
Competitive benefit package
Company
Pearl Health
Pearl Health provides an integrated platform to help primary care providers focus their attention on the patients who need it.
Funding
Current Stage
Growth StageTotal Funding
$95MKey Investors
Andreessen Horowitz,Viking Global Investors
2023-01-26Series B· $75M
2021-09-15Series A· $18M
2020-12-28Seed· $2M
Recent News
2025-12-01
Business Wire
2025-10-21
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