
Healthcare Insurance
Upstream Rehabilitation is the country's largest dedicated provider of outpatient physical and occupational therapy services. Committed to advancing health, Upstream focuses on clinical excellence through post-doctoral educational programs, structured mentorship, and tracking of patient outcomes. The company offers extensive career opportunities in corporate and clinical roles, fostering an inclusive work environment and investing in professional development. Upstream also supports community outreach through its Pillars with Purpose benevolent funds, encouraging associates to engage in volunteer service. With over 1,200 clinics across the United States, Upstream Rehabilitation provides exceptional care and innovative rehabilitation technologies to empower patients on their healing journeys.
November 20

Healthcare Insurance
Upstream Rehabilitation is the country's largest dedicated provider of outpatient physical and occupational therapy services. Committed to advancing health, Upstream focuses on clinical excellence through post-doctoral educational programs, structured mentorship, and tracking of patient outcomes. The company offers extensive career opportunities in corporate and clinical roles, fostering an inclusive work environment and investing in professional development. Upstream also supports community outreach through its Pillars with Purpose benevolent funds, encouraging associates to engage in volunteer service. With over 1,200 clinics across the United States, Upstream Rehabilitation provides exceptional care and innovative rehabilitation technologies to empower patients on their healing journeys.
• 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” • Design and deploy enterprise dashboards, predictive models, and automated insights using Microsoft Power BI + Fabric • Integrate data from EHR (RainTree), RCM, etc. • 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)
• 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.
• Medical, Dental and Vision Insurance • Life Insurance • 401k retirement plan with a company match • Generous paid time off (PTO)
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