Data Analytics Team Lead
Company:Upstream Rehabilitation
Location:United States, Canada, EST, PST
Languages:English
Seniority level:Lead, 8+ years
Experience:8+ years
Skills:
LeadershipPythonSQLArtificial IntelligenceBusiness IntelligenceData AnalysisETLMachine LearningMicrosoft Power BIAzureData engineeringMentoringFinancial analysisReporting
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 Bachelors in computer science, MIS, Statistics, or related field. Equivalent experience accepted.
Responsibilities:
Define and execute a 3-year analytics roadmap Champion AI/ML adoption Establish data governance, lineage, and quality frameworks Lead, mentor, and grow a team of 4-6 analysts and engineers Build a self-service analytics culture Foster cross-functional partnerships 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 using Azure Data Lake + Synapse Pilot GenAI use cases Explore data mesh architecture
