What are the responsibilities and job description for the Senior Business Intelligence Analyst position at Henry Ford Health - Careers?
GENERAL SUMMARY:
The Sr. Business Intelligence Analyst is an interdependent member of the analytics community who helps build a data driven culture within the Henry Ford health System. Working cross collaboratively, the Sr. Business Intelligence Analyst gathers data, generates reports, and provides actionable interpretation of information to customers. They are comfortable and effective working with and presenting information to customers at all levels, including but not limited to executives, physicians, clinical staff, peers, and external oversight/regulatory bodies. They develop comprehensive routine and ad-hoc reports and implement new or improved reporting processes to support strategic goals or key operations. The Sr. Business Intelligence Analyst fulfills complex requests, works effectively with ambiguity, manages deadlines, and maintains timeliness and quality of delivery. They anticipate and can quickly adapt to evolving needs of the customer. They consistently demonstrate excellent analytical and problem-solving skills while maintaining keen attention to detail.
EDUCATION/EXPERIENCE REQUIRED:
- Bachelor's degree in healthcare, Business Administration, Computer Science, Engineering, Mathematics, Statistics, Applied Science, or other related field required.
- Minimum of three (3) years of experience in a healthcare or business setting, required.
- Expert in the use of Excel, SQL, PowerBI Tableau, Qlik, Toad, or other BI tools and report building.
- Experience in the use of any Enterprise Databases or shared data repository.
- Experience with Electronic Medical Record System (EMR) report development.
- Experience in the use of a programming language.
- Epic certification in Clarity/Caboodle Data Model. Proven customer service experience with strong active listening skills.
- Skilled at presenting complex information to diverse audiences.
- Experience in the use of relational databases and development of data visualizations.
- Effective written and verbal communication skills. Demonstrated understanding of statistical concepts.