Data Analyst II, Business Insights

Garner’s mission is to transform the healthcare economy, delivering high-quality and affordable care for all.

We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures.

Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale.

About the role:

We are seeking an exceptional AI-Native Data Analyst to join Garner and drive how data shapes business decisions at scale. You'll be the person the business trusts to turn fuzzy questions into the metrics, dashboards, and deep-dive analyses that decisions actually get made on — owning that work end-to-end.

Where you will work:

This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.

What you will do:

• Own KPIs and dashboards end-to-end. Build, maintain, and govern key KPIs and dashboards across business domains, managing the full lifecycle of analytics projects from scoping to delivery.

• Be a thought partner on measurement. Partner with stakeholders to define how success is measured across Garner's products and operations.

• Build scalable data pipelines. Collaborate with the data engineering team to create maintainable pipelines that power reliable reporting.

• Develop deep domain expertise. Build a strong understanding of your analytical domain so you can independently drive meaningful insights.

• Close reporting gaps. Identify where coverage is missing and proactively develop new dashboards and insights to fill them.

• Raise the bar on data practices. Advocate for best practices in visualization, documentation, metric consistency, and stakeholder communication across teams.

• Answer high-stakes, ambiguous questions. Run deep-dive investigations into complex business problems — the kind of analysis leadership uses to make strategic calls.

The ideal candidate has:

• 3+ years of experience in Data Analytics, Business Intelligence, or a similar data-centric role.

• Cross-functional translation. Ability to translate ambiguous business questions into data-driven solutions and to work effectively with non-technical stakeholders.

• Autonomy and ownership. Comfortable working independently and owning reporting projects end-to-end.

• Automation mindset. Attention to detail with a bias toward automation and scalability over one-off work.

• AI Nativity. Comfort with and excitement about building analytics, building dashboards, and validating results by harnessing the power of AI agents.

• Making data accessible. A track record of getting stakeholders trustworthy, self-serve access to the information they need. Experience with a BI/visualization tool (Looker, Tableau, Power BI, or similar) helps — but the outcome matters more than the specific