We are seeking an exceptional AI-Native Data Analyst III 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 automated reports that we create at higher volume, and innovative custom analysis to provide insights for specific client situations.
The Data Analyst III 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 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.
- Close reporting gaps. 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:
- 3+ 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
