Data Analytics Team Lead

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 strategic and investigative 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. Someone who goes beyond the problem and is passionate about identifying and resolving the root case.

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. They 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. Refined social and communication skills are required that enable effective collaboration 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

DUTIES AND RESPONSIBILITIES:

Strategy & Vision

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)

Team Leadership & Culture

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)

Delivery & Execution

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

Innovation & Experimentation

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.

REQUIRED EXPERIENCE & SKILLS

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-Have

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

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

EEO Statement

Upstream Rehabilitation is an Equal Opportunity Employer that strives to provide an inclusive work environment where our differences are celebrated for the value they bring to our communities, our patients and our teammates. Upstream Rehabilitation does not discriminate on the basis of race, color, national origin, religion, gender (including pregnancy), sexual orientation, age, disability, veteran status, or other status protected under applicable law.

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