Business Intelligence Engineer II

Creates Enterprise-class data assets that provide business insight and aid business decision-making. Assets will include (but are not limited to) reports, visualizations, dashboards, and data extracts. Produces complex reports and performs meaningful quantitative or qualitative analysis addressing impactful business issues or questions. Combines these reports with subject-matter expertise to deliver coherent, insightful business issues or questions. Combines these reports with subject-matter expertise to deliver coherent, insightful takeaways comprehensive read-outs, and advice/recommendations grounded in what our data is telling us.

Minimum Education

A Bachelor's degree in a quantitative or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required)

Minimum Work Experience

Requires deep functional knowledge with 2 - 4 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required)

Required Skills/Knowledge

Experience with Business Intelligence; Data Analysis; Microsoft Azure; SAS (software); SQL (Programming Language); Statistical Analysis Systems (SAS); PowerBI, Tableau, or other business intelligence software.

Experience with Data Modeling; Python (programming Language); Quality Assurance; SQL (Programing Language).

Experience with Analytical Techniques; Business Analysis; Quantitative Analysis; Rist Analysis; Root Cause Analysis; Statistical Process Controls.

Knowledge of Microsoft Visio; User Flows; Workflows

Optional:

Experience in the healthcare field

Experience with healthcare data policies

Microsoft certifications in Azure

Experience with Microsoft Fabric

Functional Accountabilities

Core areas of responsibility that fall under this role include:

• Develops BI solutions architecture that accurately translates business requirements to technology solutions and ensures the design will meet business requirements throughout the lifecycle of a change
• Participates in day-to-day activities related to defining architecture, establishing infrastructure, and implementing standards used to create frameworks/patterns for delivering business intelligence solutions.
• Conducts business analysis activities to enable technology solutions that adequately fulfill strategic business needs and objectives.
• Performs projects setups, analysis, data flows, designs (wireframe/mock-up), etc., for and in partnership with customers.
• Supports the execution of long-term strategic goals for business intelligence development in conjunction with end user, management, customers, and other stakeholders.
• Conducts research and makes expert recommendations on business intelligence products, services, and standards in support of procurement and development efforts.
• Performs and oversees programming, quality assurance reviews, documentation, system deployment, training, and project setup/support.
• Provides timely and appropriate communication to business owners, stakeholders, and users on issue status and resolution
• Develops and maintains the business intelligence architecture as a core asset
• Collaborates with end users to identify needs and opportunities for improved data management, process efficiency with respect to data and delivery.
• Collaborates with both Enterprise Architecture and Solutions Architecture on the solutions/service design to ensure it conforms to enterprise architectural standards for future roadmaps.
• Performs other duties as assigned.
• Complies with all policies and standards.

To be successful in this role you will need:

• Seeks to acquire knowledge in area of specialty.
• Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions.
• Ability to work independently.
• Great verbal and written communication skills, communicate complex findings in a clear and understandable manner
• Great facilitation ability to host sessions and elicit ideas from others, understanding their issues and encourage group participation
• Attention to detail.
• Communicate findings in a clear and understandable manner
• Collaborate effectively with cross-functional teams
• Adapt to changing priorities and thrive in a dynamic environment