Job Description
About Empeon
At Empeon, we’re building a best-in-class HCM platform tailored to the healthcare and homecare markets. We serve hundreds of skilled nursing facilities (SNFs), home health agencies, and long-term care organizations. Our mission is to simplify compliance, improve workforce efficiency, and deliver actionable insights to healthcare providers.
About the Role
We are looking for a hands-on, strategic Analytics Product Manager to lead the development of our analytics offering across payroll, HR, attendance, and scheduling — with a focus on the needs of SNF operators and healthcare administrators.
You’ll work closely with product, engineering, and design teams to define the key metrics and reporting tools our clients need to make smarter staffing and payroll decisions. This is a foundational hire, and you’ll play a critical role in shaping the future of data at Empeon.
Responsibilities
- Own the vision and roadmap for our Analytics & Insights layer across the HCM platform.
- Define core metrics and KPIs relevant to SNF and healthcare operations (e.g., overtime trends, payroll variance, lateness patterns, turnover, time-to-fill).
- Work with clients, account managers, and internal product owners to identify high-value use cases for analytics.
- Translate business questions into product specs, dashboards, and data requirements.
- Guide initial dashboard and report mockups (Power BI or other tools).
- Help identify future hiring needs (e.g., BI developers, data engineers).
What You’ll Help Build
- Pre-payroll analytics by employee, department, and earning code.
- HR analytics such as turnover and headcount trends.
- Attendance visualizations (late/early trends, no-shows, excessive OT).
- Drill-down dashboards for SNF facility administrators.
- Benchmarks and historical trend reports across pay periods or date ranges.
Requirements
- 5+ years of experience in product, analytics, or BI, preferably in HCM or healthcare tech.
- Strong understanding of SNF operations, workforce compliance, and staffing challenges.
- Hands-on experience with analytics tools like Power BI, Looker, Tableau, or embedded dashboards.
- Technical understanding of databases, SQL, or data modeling concepts.
- Experience translating business needs into data-driven product requirements.
- Excellent communication skills and the ability to work cross-functionally.