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Upstream Rehabilitation logo
Upstream Rehabilitation

We are the largest dedicated outpatient physical therapy provider in the U.S.

Data Analytics Team Lead

Financial Planning and AnalysisFinancial Planning and AnalysisOtherRemoteTeam 5,001-10,000H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

112 days ago

Salary

0

No structured requirement data.

Job Description

Data Analytics Team Lead

Upstream Rehabilitation

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. Own Upstream’s enterprise data, analytics, and AI strategy Lead a high-impact team to deliver actionable intelligence across clinical, operational, financial, and patient experience domains Architect solutions, mentor talent, and translate complex data into executive ready narratives Reduce claim denial rates by 15% via predictive denial modeling Increase patient retention by 8% through propensity-to-churn analytics Deliver 90%+ dashboard adoption among regional directors within 6 months

Job 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
  • 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

Benefits

  • 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
  • Education
  • Bachelors in computer science, MIS, Statistics, or related field. Equivalent experience accepted.
  • Travel Requirements
  • Occasional travel to other offices, third-party vendors, or educational conferences may be required.
  • Preferred System Experience
  • Raintree, Waystar, Excel, MS Dynamics, Azure Data Factory, APIs, Azure Data Lake Gen2, Fabric Lakehouse, Databricks, Synapse Analytics, dbt, Power BI, Fabric AI, Azure ML, Copilot

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