The Senior Business Intelligence Engineer creates complex 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 takeaways comprehensive read-outs, and advice/recommendations grounded in what our data is telling us.
Bachelor's degree in a quantitative or business field (e.g., Statistics, Mathematics, Engineering, Computer Science) (Required)
Minimum Work Experience
6 years of work experience.
Requires deep functional knowledge with 4 \u2013 6 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:
To be successful in this role you will need: