Senior Data Analyst, Analytics Engineering

The Opportunity

As a Senior Data Analyst at Pearl, you will bridge the gap between raw data and business value by designing and maintaining the trusted data models that power critical decisions across clinical outcomes and P&L. You have spent time "in the trenches" as a Data Analyst or BI Engineer—you don't just build models to be "correct"; you build them to be usable, understanding how downstream users in BI Tools will interact with your work. You will partner with Data Science, Product, and Engineering to architect a self-service data environment. Rather than just answering ad-hoc queries, you will codify business logic into clean, documented datasets that empower the entire organization to explore practice engagement, patient spend, and network analytics with confidence. You will drive team best practices by managing pull requests, conducting rigorous code reviews, and maintaining documentation within a Git-based workflow, applying software engineering principles—like automated testing and CI/CD—to ensure our pipelines are robust and scalable.

Who we are. . .

Pearl Health is powering the future of healthcare. We help primary care providers and organizations to deliver quality healthcare to the patients who need it most, when they need it most — and get rewarded for keeping patients healthy.

Our technology, services, and financial tools enable better, more proactive care, decrease total cost of care across patient panels, and optimize performance in value-based care models for Traditional Medicare and Medicare Advantage.

We are a team of physicians and public health experts (Stanford, Harvard, Mount Sinai), technologists (athenahealth, Amazon, Meta, Flatiron), healthcare innovators (Centivo, Aledade, Stellar, Arcadia), and experienced risk management professionals (CVS/Aetna, Humana, Oscar) who believe that primary care providers are the key to addressing our healthcare system’s biggest challenges.

Since its founding in 2020, Pearl has expanded to partner with thousands of primary care providers in practices and organizations across 44 states. Our investors include Andreessen Horowitz, Viking Global Investors, AlleyCorp, and SV Angel.

What Senior Data Analyst means to us

• Partner with our technical lead to design flexible and scalable data models that capture the ontological relationships of our healthcare data, balancing immediate business needs with long-term architectural health.

• Translate complex company goals into governed, reusable data models in dbt and Snowflake, serving as the "source of truth" for downstream BI tools (Hex).

• Execute the design and development of robust data transformation pipelines. You will focus on modularity, performance optimization, and maintainability, ensuring our data assets scale with our data volume.

• Move beyond simple schema design by implementing automated testing (data freshness, schema validation, null checks) and observability. You will ensure that stakeholders trust the data implicitly.

• Partner with Data Engineering to define ingestion requirements and with Product/Customer Success to scope analytical needs, turning vague business problems into concrete technical requirements.

• Collaborate with technical lead to identify technical debt and architectural opportunities, proposing solutions that align our data infrastructure with our 6-month OKRs.

Who you are

• Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, or related field).

• 3-5 years of experience in delivering 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)

• Proven track record building end-to-end data transformations for business stakeholders; direct experience using DBT and cloud-based warehousing (e.g., Snowflake, BigQuery, or Redshift) is required.

• 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.

• Advanced proficiency in SQL (comfortable with window functions, CTE organization for readability, and performance optimization) with a track record of working with legacy logic and migrating it to a standardized framework. Python proficiency for data manipulation is a plus but not required.

• Excellent communication, presentation, and facilitation skills, with the ability to explain complex concepts clearly and concisely.

• Familiarity with AWS cloud architectures.

• Healthcare or insurance experience, and/or experience working in a startup is preferred.

• Thoughtful collaborator with a passion for building analytical systems while balancing the tradeoffs between speed and thoroughness in development and scalability.

🤝 Collaborate to Innovate: We believe the best solutions arise from intelligent teamwork. We trust the expertise of our teammates and pursue opportunities to learn and grow from each other. By embracing diverse perspectives and encouraging authenticity, we create and evangelize groundbreaking health solutions.

🗣️ Trust Through Transparency: We prioritize transparency in all our interactions, ensuring that employees, patients, clinicians, and partners have access to the information they need to make informed decisions. Integrity is at the core of how we operate.

❤️ Serious Impact, Big Heart: We go above and beyond to empower proactive, patient-centered care — and we celebrate every step forward. Humor and positivity fuel our creativity and strengthen relationships.

We are an Equal Opportunity Employer on a mission to improve lives. Our strength comes from the diverse backgrounds, experiences, and perspectives of our team. We welcome all candidates and are committed to a fair, inclusive hiring process free from discrimination.

The expected offer for this role includes the following components:

• Base Salary Range: $105,000-$160,000 per year

• Additional Compensation: Eligible for a discretionary performance bonus and equity options

• Benefits: We offer a competitive benefits package. More on our careers page.

Final compensation will be determined by a variety of factors, including relevant skills, experience, labor market conditions, and location.

We are not currently working with contingency search firms. If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired.

While steps may vary by role, you can typically expect:

• Recruiter Screen: Introductory call to discuss background and motivation

• Subject Matter Expert Interview: Deep-dive conversation with a core member of the team

• Panel Interview: Meetings with teammates and cross-functional partners

• Case Assignment / Presentation: Practical exercise solving a real-world challenge

• Executive Interview: Final conversation(s) with 1–2 members of our leadership team