Business Intelligence Analyst

Full-time, hybrid role requiring onsite presence 3 days per week or more based on business needs.

Schedule

• Monday – Friday, 8:00 AM – 4:30 PM
• 40 hours per week

About the Role

Oversees planning, development, implementation, and ongoing support for Analytic tools, including the Enterprise Data Warehouse (EDW), third-party business intelligence tools, and associated environments. Promotes BI within the user community to leverage BI solutions and evolve self-service analytics. Supervises and directs the daily work of the Analytics team and ETL administrators. Collaborates with the Analytics Team on data governance standards and with the AI Application Team to curate AI-ready data and governance. Assists staff with career development planning to build and grow business intelligence and analytics knowledge. Assists in the development of capital and operating budgets.

Responsibilities

• Collaborates with IS Directors and other staff in interviewing, hiring, evaluating, and disciplining staff.
• Effectively communicates job expectations, corporate and department plans, goals, objectives, and priorities.
• Proactively identifies opportunities and addresses areas for high employee satisfaction and engagement.
• Sets the tone for a productive, professional work environment.
• Addresses performance issues appropriately while treating employees consistently, fairly, and respectfully.
• Complies with all aspects of employment law.
• Provides comprehensive, effective orientation for new hires and pursues ongoing professional development opportunities for staff.
• Confirms time and attendance in Kronos.
• Conducts regular staff meetings and huddles.

Requirements

• Bachelor’s degree in Information Services or related analytics field required.
• Minimum of five (5) years of relevant experience required.
• Two (2) years of management experience preferred.
• Three (3) years of experience with data analytics and reporting preferred.
• Healthcare experience highly preferred.

Skills

• Knowledge and experience with data warehouses and analytics/reporting tools, preferably Epic's Cogito ecosystem.
• Knowledge of cloud-based databases/warehouses (e.g., Databricks, Fabric, AWS); Databricks highly preferred.
• Knowledge of enterprise data visualization tools (e.g., Power BI, Tableau); Power BI preferred.
• Ability to communicate complex information clearly and concisely to all levels of management.
• Ability to work collaboratively across organizational boundaries.
• Ability to work on multiple projects, balancing competing priorities.
• Experience managing a team of report writers, analysts, and BI developers.
• Experience with Agile and CI/CD preferred; Azure DevOps highly preferred.
• Experience with AI preparation of data (vectorization and embedding) preferred.
• Experience with creation/deployment of data science and predictive models preferred.