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Senior Business Intelligence Analyst
Ensemble Health Partners. Design, build and maintain Power BI reports, dashboards and semantic models for revenue cycle, financial planning, performance management and executive reporting .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Power BI report design, advanced DAX measures, and data modeling, with a strong focus on delivering analytics solutions for finance and revenue cycle management. Proficient in SQL, Databricks, and data validation processes, while effectively communicating insights to diverse audiences.
Highest-signal resume keywords
Power BI ExpertiseAdvanced DAX MeasuresSQL ProficiencyDatabricks ExperienceHealthcare Revenue Cycle Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Power BIDAXSQLPySparkData ModelingDelta LakeStar SchemaData ValidationData WarehousingSemantic Data Modeling
Soft Skills
CommunicationMentoringInquisitivenessCollaborationProblem-Solving
Tools & Technologies
DatabricksUnity CatalogAzure Data ServicesMicrosoft FabricPower Query
Certifications & Qualifications
Microsoft Certified: Power BI Data Analyst Associate (PL-300)Databricks Certification
Industry Keywords
Business IntelligenceData AnalyticsRevenue CycleFinancial AnalyticsFP&A
Tech Stack
Tools & technologiesAzurePySparkPythonSQLUnity
About the role
Key responsibilities & impact- Design, build and maintain Power BI reports, dashboards and semantic models for revenue cycle, financial planning, performance management and executive reporting
- Develop Star schema data models and advanced DAX measures for performance, row-level security and reusability
- Build and optimize Databricks data transformations using SQL and PySpark
- Deliver curated analytics-ready tables in the Lakehouse using Delta Lake and Unity Catalog
- Translate finance, revenue cycle and operational business questions into requirements, KPI definitions and analytical solutions
- Establish data validation and reconciliation checks for reporting accuracy and consistency
- Manage Power BI workspaces, deployment pipelines and refresh schedules
- Comply with Ensemble Health Partners governance standards
- Mentor junior analysts and lead peer reviews
- Promote BI standards, documentation and self-service adoption
- Support Power BI report office hours
- Partner with finance, operations and data engineering teams to scale self-service analytics
Requirements
What you’ll need- Bachelor's degree in Finance, Business Analytics, Computer Science, Information Systems or related fields
- 5+ years of experience in business intelligence, data analytics, revenue cycle, or financial analytics
- 3–5 years of advanced Power BI expertise, including semantic data modeling, DAX, M, Power Query and Power BI Service administration
- Hands-on experience with Databricks, including SQL, notebooks and Delta Lake
- Working knowledge of PySpark or Python
- Strong SQL skills
- Expertise in dimensional (Star schema) and Third Normal Form (3NF) modeling
- Knowledge of relational databases and data warehousing concepts
- Ability to communicate complex findings clearly to executive and non-technical audiences
- Experience in healthcare revenue cycle management or finance and FP&A environment heavily preferred
- Familiarity with Unity Catalog, Databricks Genie, Azure data services, Microsoft Fabric or Git-based CI/CD
- Microsoft Certified: Power BI Data Analyst Associate (PL-300) or Databricks certification
- Inquisitiveness and openness to innovation, including AI
- Must reside and be authorized to work within the United States
- Must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require
Benefits
Comp & perks- Bonus incentives
- Paid certifications
- Tuition reimbursement
- Comprehensive healthcare benefits
- Paid time off
- Retirement benefits
- Well-being programs
- Professional development opportunities
- Career advancement
- Quarterly and annual incentive programs
- Work-life flexibility