Principal Business Intelligence Analyst

Henry Ford Health; Detroit (MI); On-site; USD 120,000 - 170,000; Full time

Job summary

Henry Ford Health seeks a Principal Business Intelligence Analyst to drive a data-driven culture across the health system. You will serve as a trusted advisor, gathering data, building reports, and delivering actionable insights to executives, physicians, and staff.

You will develop complex dashboards, mentor peers, and ensure timely delivery of analytics aligned with strategic goals. Strong collaboration with EMR reporting and database teams is expected.

Qualifications

• Bachelor's degree in healthcare, Business Administration, Computer Science, Engineering, Mathematics, Statistics, or Applied Science; required.
• Master's degree preferred.
• Minimum of six years of experience in healthcare or business settings; expert in BI tools and report building.
• Experience with relational databases and data visualizations; strong communication skills.
• Epic Clarity/Caboodle certification and Lean/Six Sigma certs are a plus.

Responsibilities

• Gathers data, generates reports, and provides actionable interpretation to customers.
• Develops routine and ad-hoc reports; implements improved reporting processes.
• Partners with executives and clinical staff to support strategic goals with timely insights.
• Mentors peers and leads data solutions across the organization.

Skills

Analytical thinking

Cross-functional collaboration

Mentorship

Storytelling with data

Education

Bachelor's degree

Master's degree

Tools

Excel

SQL

Power BI

Tableau

Qlik

TOAD

Clarity/Caboodle

Job description

Job Description

The Principal Business Intelligence Analyst is an interdependent member of the analytics community who plays a pivotal role in building a data driven culture within the Henry Ford health System. The Principal Business Intelligence Analyst is a trusted advisor to organization leaders and department team members. Working cross collaboratively, the Principal Business Intelligence Analyst gathers data, generates reports, and provides actionable interpretation of information to customers. They demonstrate reliability and expertise inworking 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 Principal Business Intelligence Analyst fulfills complex requests, works effectively and provides clarity in ambiguous situations, manages deadlines, and maintains timeliness and quality of delivery. They anticipate and quickly adapt to evolving needs of the customer. They consistently demonstrate excellent analytical and problem-solving skills while maintaining keen attention to detail. They exemplify leadership qualities and serve as a mentor to their peers.

Qualifications:

Qualifications

EDUCATION AND EXPERIENCE:

• Bachelor's degree in healthcare, Business Administration, Computer Science, Engineering, Mathematics, Statistics, or Applied Science, required.
• Master's degree in healthcare, Business Administration, Computer Science, Engineering, Mathematics, Statistics, or Applied Science, preferred.
• Minimum of six (6) years of experience in a healthcare or business setting. Expert in the use of Excel, SQL, Power BI Tableau, Qlik, Toad, or other BI tools and report building.
• Demonstrated application of statistical concepts.
• Expert in the use of relational databases and development of data visualizations. Proven customer service experience with strong active listening skills.
• Effectively presents complex information to diverse audiences.
• Expert written and verbal communication skills.
• 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.
• Process improvement certification (e.g. Lean, Six Sigma).