Business Intelligence Analyst

Business Intelligence Analyst 

Job Code: BA3000

 

ABOUT US

We are welcoming a new era in healthcare where achieving good health is just the beginning. At UVA Health Northern VA & Culpeper, we believe in caring for the whole person by getting to know – and making connections with – our patients. By combining the talent and expertise of our people, the breadth of capabilities across our system, and our commitment to helping our communities get better and stay healthy, we are improving the patient experience.

As a UVA Health Northern VA & Culpeper team member, you will have a voice in patient care decisions, support the most advanced medical technologies and feel a strong sense of satisfaction from making a difference in people’s lives every day.

 

JOB TYPE

Classification: Exempt

Supervises Positions: No

 

JOB SUMMARY

The Business Intelligence Analyst serves as expert and interacts with management and other team members on analytics and business intelligence (BI) efforts. This role requires the ability to analyze large-scale data sets to derive business insights and identify potential issues, develops analysis plans using quantitative methods and statistical software, and collaborate with different teams in order to design, develop, generate, and validate self-service reports, extracts, and visualizations. 

The Business Intelligence Analyst provides input into BI requirements and solutions to support operational activities, works closely with leadership to understand current and future needs, and is required to solve complex issues. The Business Intelligence Analyst serves as a subject matter expert of the operational data, analytics processes, and data utilization in their business unit and has a passion for data and BI and analytics. The individual provides “how to” expertise to leaders and team members on the capabilities of tools and data, while consistently maintaining an enterprise perspective. The Business Intelligence Analyst will also serve as a liaison with HIT, Finance and Operations to help create efficiencies and ensure data integrity/quality.

This position will focus on helping to identify opportunities for more efficient operations, support financial analysis needs, and provide valuable insights that drive decision-making. Additionally, the Business Intelligence Analyst will assist with financial proformas, budgeting, forecasting, and other related financial planning needs.  The Business Intelligence Analyst may be asked to manage multiple reporting initiatives focused on achieving specific organizational goals. 

KEY RESPONSIBILITIES

• Analysis & Reporting: Create, design, and deliver actionable, accurate reports and visualizations from multiple data sources. 
• Data & BI Expertise: Serve as a subject matter expert for data analytics and resource for organizational leaders.      Design and develop custom dashboards, reports, and visualizations using BI tools (e.g., Power BI, Tableau).
• Financial Modeling & Budgeting: Assist leadership by creating and refining financial models, forecasts, and budgets. Ensure reports and models reflect real-time financial health and performance.
• Process Improvement: Identify areas for improving reporting processes and BI tools. Drive automation of repetitive tasks, streamline data extraction, and improve efficiency.
• Collaboration: Work closely with department leadership, finance teams, HIT and operations to align data strategies with business goals and operational needs.
• Project Management: Manage and lead multiple projects related to business intelligence, financial reporting, and data analytics. Develop project timelines, coordinate resources, and ensure deliverables are completed on time and within scope.
• Cross-functional Communication: Present complex data and financial information in a clear and concise manner to stakeholders across various departments. Tailor communication for both technical and non-technical audiences.
• Data Integrity & Quality Assurance: Maintain a high level of data integrity and consistency across reporting and analysis. Validate data accuracy and identify any discrepancies or data quality issues.