Who we are: 

Spire Orthopedic Partners is a growing national partnership of orthopedic practices that provides the support, capital and operational resources physicians need to grow thriving practices for the future. As a Management Services Organization (MSO), Spire provides the infrastructure for administrative operations that allows practices to operate at their highest level, so doctors can focus their efforts on what matters most – patient care. Headquartered in Stamford, Connecticut, the Spire network spans the Northeast with more than 165 physicians, 1,800 employees, 285 other clinical providers and 40 locations in New York, Connecticut, Rhode Island and Massachusetts.

What you’ll do: 

Spire Orthopedic Partners is a growing Orthopedic group and we're building the data infrastructure to match. We're looking for a Senior Data Analyst who wants to own the reporting layer that keeps our operations running: physician scorecards, practice VP dashboards, front desk throughput metrics, patient access trends, and everything in between.

We want someone who can sit down with an operations leader, figure out what they actually need to make a decision, and build something that gives them that answer.

Spire's leadership is highly data-driven and actively investing in accelerating our analytics capabilities. There's an existing foundation here, and we're looking for someone who can assess what's working, retire what isn't, and build the things that will move us forward. That takes more than technical skill. It takes good judgment and the confidence to make calls.

Responsibilities/Duties:

• Own and maintain the operational reporting suite in Power BI, covering physician performance, front desk metrics, scheduling efficiency, and more


• Partner with practice VPs, operations leads, and clinical staff to understand what they need, translate that into data requirements, and deliver reports they'll actually use


• Write and optimize complex SQL queries in Snowflake to extract, transform, and validate data from multiple source systems


• Make recommendations based on data for process improvement and strategic business decision making


• Build and document repeatable data pipelines that support consistent, trustworthy reporting across practices


• Monitor data quality and flag anomalies proactively


• Deliver ad hoc analysis alongside production reporting, and do both on time


• Help set standards for how we build, document, and maintain reports


• Mentor junior team members and help raise the overall quality and consistency of the team's analytical work