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Sr. Business Intelligence Developer

Henry Ford Health System
United States, Michigan, Detroit
Feb 24, 2026

Responsible for supporting the development and implementation of a comprehensive program to extract and collect data using computer languages, analyze it, and effectively report information from this data to a variety of customers including physicians, physician groups, physician leaders, hospital leaders; provide analysis and develop new approaches to measurements and presentation of information; generate reports and support comparative database assessment and maintenance regarding performance, clinical, operational, and improvement efforts; utilize and apply knowledge of Waterfall, QlikSense, trend analysis, large acute care healthcare system data analysis, Power BI, SQL, Tableau, Python, Data Visualization, ETL Process, Advanced Excel, Data Analytics, BI Development, Data preprocessing, Machine learning and Data Modeling to complete assigned tasks; help enhance data driven culture and services within the health system; provide actionable interpretation of information for management to use to support decision making; present information to customers at all levels, including executives, physicians, clinical staff, peers, and external oversight/regulatory bodies; coordinate project deadlines, and maintain timeliness, delivery, and high quality of products/services; develop comprehensive solutions and ad-hoc reports; implement new and improved reporting processes to support strategic and clinical goals of the business operations; tell stories with data insights that are clear and discerning to help leaders make actionable decisions; work collaboratively with leaders and teams to understand how data solutions can make a positive impact; consult, design metrics, report, and build solutions as needed; document the process flows and ensure they are monitored for accuracy and quality; provide end-user training on existing tools; participate in webinars and other educational resources to enhance understanding of current developments in the healthcare environment; generate suggestions for improving work efficiency and promoting quality; guide customers to the central intake process, triage and fulfill report requests as assigned by the leader; serve as a liaison between Analytics and business leaders; research, review, and analyze the effectiveness and efficiency of existing report procedures and develop strategies for enhancing or further leveraging these processes; create complex scripts utilizing optimized query techniques on complex data tables; standardize the use of analytics tools and semantic layers throughout the organization; understand driving factors for data needs and provide data elements in addition to specific requests; work closely with operational stakeholders and Service Line leaders to understand needed data solutions, calculate value of those solutions, and provide continuous consulting throughout assignments; work as a liaison between Analytics and Service Lines clinical and business leaders; interview users to gather detailed requirements, documenting them in the central intake process and identify existing solutions in the Analytics space; create a detailed product delivery plan when necessary, navigate existing tools, pull preliminary data from internal and external systems to scope the project; create reports, metrics, tools, data models, data-marts, cubes, dashboards, and document process flows; and work on one-time requests from other areas of the system.

Location: 1 Ford Place, Detroit, Michigan, 48202
Salary: $92,669 per year

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Education: Bachelor's Degree in Computer Science, Engineering, Mathematics, Statistics, Business, Applied Security and Analytics, Computer Applications, or in a related field of study (will accept equivalent foreign degree);
Training: None
Experience: Five (5) years in the position above, as a BI Developer, as a Data Analyst, as a Data Engineer, as a Tableau Developer, or in a related occupation;
Other Requirements: Experience must include five (5) years use of all the following: Power BI, SQL, Tableau, Python, Data Visualization, ETL Process, Advanced Excel, Data Analytics, BI Development, Data preprocessing, Machine learning and Data Modeling.
Will also accept any suitable combination of education, training and/or experience.

Additional Information


  • Organization: Corporate Services
  • Department: Ambulatory Analytics
  • Shift: Day Job
  • Union Code: Not Applicable

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