Analyst, Data

Virta Health is on a mission to reverse metabolic disease in one billion people. Current treatment approaches aren’t working—over half of US adults have either type 2 diabetes or prediabetes, and obesity rates are at an all-time high. Virta is changing this by helping people reverse their metabolic condition through innovations in technology, personalized nutrition, and virtual care delivery reinvented from the ground up. We have raised over $350 million from top-tier investors, and partner with the largest health plans, employers, and government organizations to help their employees and members restore their health and take back their lives. Join us on our mission to reverse metabolic disease in one billion people.

Responsibilities Deliver Commercial Analytics: Execute recurring and ad hoc analyses across client reporting, performance guarantees, dashboards, and other commercial priorities.

Measure Client Value: Develop a strong understanding of Virta’s value model and apply its measurement frameworks to accurately calculate, validate, and communicate client outcomes.

Turn Data Into Strategy: Build dashboards and analyses that surface trends, answer business questions, and inform client and commercial decision-making.

Partner With Stakeholders: Work directly with Client Success and cross-functional partners to translate complex questions into clear analytical approaches, insights, and client-ready narratives.

Build for Scale: Strengthen metric definitions, documentation, data quality, and repeatable workflows while using automation and AI to improve speed and reliability.

90 Day Plan Within your first 90 days at Virta, we expect you will do the following:

First 30 days Develop a strong understanding of Virta’s commercial model, client value frameworks, products, and core analytics workflows.

Review existing client reports, dashboards, performance-guarantee calculations, and metric definitions.

Build relationships across Analytics, Client Success, and Product.

Begin supporting recurring reporting cycles while learning systems and expectations.

Days 31–60 Begin owning one recurring commercial analytics workflow, ensuring deliverables are accurate, timely, and clearly communicated.

Support client-specific analyses and begin participating in stakeholder and

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