Senior Data Analyst, Reporting

What you’ll be part of

Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.

The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.

About the role:

We are seeking an exceptional AI-Native Senior, Data Analyst to join our Reporting team. Our team delivers insightful, high-quality analysis to our clients on their healthcare use and their engagement with the Garner product. The team supports a combination of developing new scalable reports that we create at higher volume, and innovative custom analysis to provide insights for specific client situations.

The Senior Data Analyst partners with our externally-facing relationship managers to address specific client questions via custom and automated analysis. Supporting this responsibility, this role must deeply understand and improve upon the full suite of our existing automated reports, consistently identifying and implementing ways to improve their efficiency, accuracy, and client-impact.

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 and own client-facing analysis end-to-end. Build, maintain, and produce key reports for clients across our data ecosystem, from scoping to delivery.

Be a thought partner to our client-facing teams. Use a deep understanding of our clients and the Garner product to partner with stakeholders, answering questions via analytically robust reports and presentations.

Build scalable report automation. Collaborate with the data engineering team to create maintainable automation to create an ever-evolving suite of client reporting.

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

Identify opportunities to improve outcomes through analysis. Identify gaps between the needs of our clients and our reports, proactively develop new 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:

5+ years of experience in Data Analytics, Business Intelligence, Consulting, 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 using data analysis to communicate business solutions.

Modern data stack. Hands-on with Snowflake (or a comparable cloud warehouse) and SQL at scale; experience with dbt strongly preferred — you'll partner with Data Management in governed pipelines, not just consume their outputs.

A desire to be part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Compensation Transparency:

The target salary range for this position is $167,000 - $210,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.

Fraud and Security Notice:

Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to [email protected] .

Equal Employment Opportunity:

• Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
• Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at [email protected] .