Senior Business Intelligence Developer - OSF HealthCare

Please note: H-1B sponsorship is not offered for this opening(s).

Remote Work option -  This person will work their first 90 days in the office.  If there is completion of successful 90 day evaluation, this person will have the opportunity to work 8 days per month in the office and the rest from home.

Salary range for this position is $91,291-$107,411 Actual pay will be determined by experience, skills and internal equity.

Focus for this position is clinical 

POSITION SUMMARY: The Senior Business Intelligence (BI) Developer is responsible for building business intelligence applications and data visualization tools, creating innovative analyses and interpretation, employing sophisticated data modeling techniques, and presenting recommendations to management. The Senior BI Developer helps OSF HealthCare improve its healthcare delivery system by designing business intelligence applications and using problem solving techniques to transform data, analyze the results, synthesize solutions, and support decision-making. This role leads peer teams in translating data into actionable information that assists leadership with decision making for operational and strategic areas including improved clinical outcomes, financial performance, productivity improvement, cost optimization, staffing, population health management, strategic market analysis, investment analysis, space or supply utilization, and system integration. Works with leadership throughout the Ministry to analyze operational and strategic performance to identify gaps, establish targets and devise the most efficient and effective methods for measuring and displaying performance, including training for business intelligence and analytic tools.

PRIMARY JOB RESPONSIBILITIES AND ACCOUNTABILITY:
Develops analytical applications, dashboards, web applications, and other data visualization tools that provide timely data and information to leadership based on key performance data from clinical, strategic, financial, and operational systems.
Leads peer teams in providing timely, innovative analyses and interpretation to leaders throughout the ministry.
Supports quality improvement efforts and strategic initiatives designed to improve patient outcomes, patient satisfaction, and the utilization of human, capital, and physical resources.
Assumes ownership in analyzing and interpreting data and making recommendations to management.  Responsible for presentation of findings, conclusions, and recommendations to leadership and clinical partners in a cohesive data story that is innovative, descriptive, organized, and visually compelling. 
Provides timely, accurate, comprehensive data mining and analyses related to operational performance, population health management, clinical practice models, cost improvement and quality indicators.
Designs "what-if" scenarios and employs sophisticated modeling techniques essential to assessing the clinical and financial feasibility of existing or proposed services.
Audits and validates data against other sources and communicates data deficiencies.  Offers solutions to improve data integrity as needed.
Serves as an expert in understanding how data flows from the various applications to their corresponding data models.  This includes practical understanding of the workflows that produce the data and the implications of any variances from the model or standard workflow.
Assesses educational gaps and opportunities to ensure analytic tools are utilized to optimal capabilities and provides support for business leaders to ensure effective training and use of complex analytic tools across the Ministry.
Maintains knowledge of current trends and development in healthcare delivery, statistical analysis, business intelligence analysis and design, business and statistical software applications, clinical quality indicators and process improvement methodologies by reading appropriate journals, researching online, attending seminars, webinars, and conferences. 
Mentors and trains others in the department, particularly new hires.

REQUIRED QUALIFICATIONS: Education: Bachelors Degree with concentration in Computer Science, Engineering, Information Systems, Analytics, Business, Finance, Economics, or Healthcare Administration

Other Licenses/Certifications: Epic Clarity/Cogito data model fundamentals training is required within 90 days of employment and required certifications must be successfully completed within 6 months from date of hire. Exams are subject to a three attempt limit per certification exam, and certifications must be maintained as new version training is released.

Experience: 6 years of work experience with progressively increasing responsibility in business intelligence, analytics, operations, finance, information systems, or healthcare.

Experience developing streamlined user interfaces and building applications that graphically display complex quantitative data.

Development expertise with web applications or business intelligence platforms.

Other skills/knowledge: Excellent interpersonal and communication skills. Strong analytical and problem solving skills, with the ability to be detail oriented.

PREFERRED QUALIFICATIONS: Education: ​Masters Degree in business, healthcare, or related analytics field.

Experience: Extensive knowledge of the OSF HealthCare specific clinical and financial systems including Epic, Midas, Strata, PeopleSoft, Premier, etc.

Experience with payor-generated eligibility/claims data. Previous supervisory experience Other requirements/information: Excellent analytical application development skills (SQL, Java, HTML, SAP Business Objects/Crystal, Epic Cogito toolset, Access, Power BI, Lumira, QlikView/QlikSense, Tableau, TIBCO Spotfire, MicroStrategy, mapping/GIS software, Excel (with attention to PowerPivot/PowerQuery/data model), VB Script, or similar applications) with the ability to become an expert in new information systems quickly. Able to evaluate technology in context of process & reporting needs and utilize such technology applications for creating dashboards, data visualization tools, and reports. Deep knowledge of database design principles, methodologies and tools, including, but not limited to, work flows, field structure, table layout, joins, etc. Previous experience preparing and delivering both small and large group presentations to administrators, physicians, and others. Demonstrated history of using reporting, spreadsheet, database, and statistical applications. Must demonstrate analytical skills necessary to design both quantitative and qualitative data and find practical solutions to difficult and complex problems. Proven skills in organizing projects, team building, training, and problem solving.

OSF HealthCare is an Equal Opportunity Employer.