Business Intelligence Manager (Power BI)

As our BI Manager, you will lead a Power BI-driven analytics program in a cutting-edge healthcare tech company. You'll own the end-to-end analytics lifecycle, from requirements through governance, delivering scalable dashboards that drive data-informed decisions. You will partner with stakeholders to translate needs into actionable metrics and mentor a growing BI team. This role offers impact at scale, shaping how data informs care and operations.

• Medical
• Dental
• Vision
• 401k w/ match
• PTO
• Hybrid schedule

• Lead design and delivery of Power BI reports, dashboards, and visualizations for actionable insights
• Own end-to-end BI lifecycle: requirements, data modeling, ETL, testing and deployment
• Write and optimize complex SQL/T-SQL queries; design scalable data models
• Architect and maintain data pipelines/warehouses using SSIS, Azure Data Factory, Azure Synapse, Azure Data Lake, Databricks, Snowflake or BigQuery as applicable
• Establish BI governance, metadata management, and MDM practices to ensure data quality and security
• Define and maintain KPI and dashboard standards; translate requirements into measurable metrics
• Implement CI/CD and source control (Git, Azure DevOps) for BI artifacts; manage deployments
• Monitor performance, address scaling issues, and optimize data models and reports
• Integrate diverse data sources (REST APIs, cloud databases, third-party systems) and oversee data integration
• Lead, mentor, and grow the BI team; promote self-service analytics and stakeholder engagement
• Collaborate with data science to enable analytics and prototype ML/advanced analytics when needed
• Evaluate new BI/analytics technologies to improve platform and architecture
• Ensure data security, privacy, and regulatory compliance in collaboration with IT/compliance teams

• 5+ years in Business Intelligence with proven Power BI and SQL experience
• 2+ years in a people or project leadership role
• Strong expertise in Power BI (DAX, Power Query) and semantic/tabular data models
• Proven ability to design and optimize relational/analytic data models; T-SQL; Azure SQL/SQL Server
• Experience with data warehouses and ETL (SSIS, Azure Data Factory); knowledge of SSAS/SSRS
• Familiarity with cloud data platforms (Azure Synapse, Data Lake, Databricks, Snowflake, BigQuery)
• Experience with data governance, metadata management, MDM, and data quality practices
• Hands-on with source control (Git), Azure DevOps, and CI/CD for BI deployments; Agile/SCRUM
• Basic familiarity with Python or R and foundational ML concepts
• Strong stakeholder management, communication, and documentation skills
• Dashboard design, KPI development, data visualization best practices
• Nice-to-have: Microsoft Data Analyst/Azure Data Engineer, SnowPro or equivalent certifications

• stakeholder management
• communication
• documentation
• Power BI (DAX, M)
• SQL / T-SQL
• Data modeling (tabular)