Data Analytics Team Lead

Upstream Rehabilitation

5h•Remote

About The Position

Our organization is highly regarded as the industry leader in providing physical therapy/rehabilitation outpatient services. We have an immediate opening for a Data Analytics Team Lead. We offer a very comprehensive benefit package including Medical, Dental and Vision Insurance, Life Insurance, 401k retirement plan with a company match, generous paid time off (PTO), and much more. Team Size: 4–6 (Analysts, Data Engineers, BI Developers) Location(s): 100% remote. Preferred locations are Nashville - Chattanooga, TN or greater DFW area, TX. We are seeking a visionary Data Analytics Team Lead to accelerate our journey from reporting to predictive and prescriptive intelligence - unlocking insights that improve patient outcomes, optimize clinic performance, and fuel enterprise growth. You will own Upstream’s enterprise data, analytics, and AI strategy, leading a high-impact team to deliver actionable intelligence across clinical, operational, financial, and patient experience domains. This is a player-coach role: you’ll architect solutions, mentor talent, and translate complex data into executive ready narratives - all while driving measurable ROI. The successful candidate will have a thorough working knowledge and understanding of every aspect of Upstream's business operations. The successful candidate will create dashboards and reports that transform raw data generated by various sources into actionable information that decision makers need to successfully perform their daily duties. The successful candidate will have demonstrable social skills that enable them to collaborate with business executives, managers, stakeholders, and subject matter experts, regardless of their level of expertise or technical skills. They must be able to play multiple roles, including architect, report developer, metadata modeler, SQL programmer, and end-user trainer and mentor. Success looks like: Reducing claim denial rates by 15% via predictive denial modeling Increasing patient retention by 8% through propensity-to-churn analytics - Delivering 90%+ dashboard adoption among regional directors within 6 months

Requirements

8+ years in data analytics, BI, or AI strategy (healthcare or multi-site operations preferred)
Expert in Power BI (DAX, Power Query, Row-Level Security, AI visuals, performance tuning)
Advanced SQL; proficient in Python (ex: pandas, scikit-learn) or R
Hands-on with Microsoft Fabric (Dataflows, Lakehouse, Real-Time Intelligence)
Experience with data integration (APIs, ETL/ELT, dbt), data lakes, and real-time pipelines
Proven ability to influence executives and train non-technical users

Nice To Haves

Master’s in Data Science, MIS, or HCI
Exposure to healthcare data standards (HL7, FHIR)
Experience with RainTree EHR
MLOps familiarity (Azure ML, GitOps, etc.)
Change management or Agile coaching

Responsibilities

Define and execute a 3-year analytics roadmap aligned to revenue, cost, and quality KPIs
Champion AI/ML adoption (e.g., demand forecasting, therapist scheduling, outcome prediction)
Establish data governance, lineage, and quality frameworks (in partnership with IT)
Lead, mentor, and grow a team of 4–6 analysts and engineers
Build a self-service analytics culture via training, templates, and “Analytics Office Hours”
Foster cross-functional partnerships (Clinical, Revenue Cycle, Operations, Finance)
Design and deploy enterprise dashboards, predictive models, and automated insights using Microsoft Power BI + Fabric
Integrate data from EHR (RainTree), RCM, etc.
Own the full BI lifecycle: requirements → pipeline → visualization → storytelling → adoption
Implement real-time analytics (e.g., clinic capacity, no-show prediction) using Azure Data Lake + Synapse
Pilot GenAI use cases (e.g., automated narrative reporting, patient summary generation)
Explore data mesh architecture for clinic-level autonomy with enterprise governance
Performing other duties as assigned.