BI Developer Senior

The University of Kansas Health System•Shawnee Mission, KS

3d•Onsite

About The Position

The Business Intelligence (BI) Developer designs, develops, and supports reporting and analytics solutions that enable clinical, operational, and financial decision-making. BI Developers are aligned to a primary reporting platform based on organizational needs and role assignment. Primary platforms include: Epic Analytics (Reporting Workbench, SlicerDicer, Radar), Enterprise BI Platforms (Power BI, Paginated Reports), Workday Reporting & Prism Analytics. As a Senior Business Intelligence (BI) Developer, you will provide technical assistance across the Business Intelligence team and ensure analytics solutions are consistent, scalable, and aligned across reporting platforms, and will serve as a technical expert and thought leader in enterprise analytics. You will architect advanced BI solutions, design scalable data models, and lead initiatives that integrate data across multiple systems. This role requires deep expertise in BI technologies, strong problem-solving skills, and the ability to influence technical direction and standards for the organization.

Requirements

Bachelors Degree in Computer Science, Information Management, Engineering, or related field (or equivalent years in experience)
5 or more years experience in healthcare environment
6 or more years SQL experience in a relational database or an equivalent combination of education and experience
experience developing applications with one or more business intelligence tools such as Epic Reporting Epic Cogito Reporting, Power BI, SAP Business Objects, Workday Report Writer or equivalent
experience in data literacy, using data storytelling and interpretation techniques to uncover insights, influence stakeholder decisions, and drive data‑backed, measurable outcomes.
Cogito Fundamentals - Within 12 months
Core Analyst Badge - Within 12 months
Clarity Data Model - Within 12 months
Caboodle Data Model - Within 12 months
Epic COG200 OR PowerBI PL-900 OR Workday Reporting Fundamentals - Within 12 Months
1 Epic Data Model (Access, Revenue, or Clinical) OR PowerBI PL-300 OR Workday Pro HCM Reporting OR Vizient CDB Certification - Within 12 Months
2 Epic Data Models (Access, Revenue, or Clinical) OR PowerBI DP-600 OR Workday Pro Prism Analytics - Within 12 Months
2 Data Model (Access, Revenue or Clinical) – Within 12 months OR Microsoft: DP-600 within 12 months OR Workday: Workday Pro - Prism Analytics OR Equal Professional Experience

Nice To Haves

Master's Degree in Business/ Health Administration, Computer Science/ or related field
Experience with database management technologies
Experience in database building, maintenance, and reporting
Experience with BI visualization, Workday, or Epic Reporting
Experience with Vizient or related healthcare improvement companies.
Project management, Lean, Six Sigma, Agile certification
Experience using data mining/analytical methods and associated tools such as Python, R, etc.
Experience with on premise database management technologies
Experience with cloud service such as Azure Cloud, Synapse, Data Factory, Azure SQL
Exposure to Epic Clarity/Caboodle, Power BI semantic modeling, or Workday Prism
Demonstrated experience applying AI/GenAI tools and prompt engineering to optimize BI development workflows, automate repetitive tasks, and evaluate AI-enabled platform features (e.g., Copilot for Power BI, Epic AI/NLP capabilities)
MS Certifications: Power BI Data Analyst Associate, MCSA: BI Reporting, MCSA: SQL 2016 BI Development

Responsibilities

Lead technical design discussions and set coding standards for BI solutions within a domain.
Drive initiatives to optimize data models for scalability and sustainability; validate recommendations with engineering teams.
Serve as a technical authority for troubleshooting and performance optimization.
Establish BI standards and best practices
Serve as a technical escalation point
Contribute to technical strategy and innovation by recommending improvements to BI architecture and supporting alignment with organizational objectives.
Research and introduce new methodologies and tools, applying emerging BI practices to enhance solution performance and scalability.
Participate in defining internal standards and best practices, ensuring adherence within assigned projects and promoting consistency across the team.
Provide technical expertise on complex solutions, guiding development efforts and collaborating with senior experts to resolve challenges.
Demonstrate strong knowledge of how BI and analytics capabilities drive departmental and organizational goals.
Influence solution design to support business priorities.
Assess and improve workflows, data collection methods, and reporting ecosystems within assigned domains.
Present trade-offs of analytical approaches and recommend optimal solutions for performance and governance.
Translate multi-domain business requirements into advanced BI solutions.
Design frameworks that enable self-service analytics while maintaining governance.
Partner with BI Managers, Data Engineering, and Product Owners to implement strategies for system upgrades, platform enhancements, and process improvements.
Review and prioritize technical initiatives within the domain, ensuring incremental delivery aligns with roadmap objectives and resource constraints.
Identify potential risks early and communicate mitigation strategies to managers and stakeholders before escalation is required.
Understands how Epic, enterprise BI, and Workday reporting interact
Align analytics solutions with organizational goals
Translate strategic objectives into analytics solutions
Integrates AI/GenAI capabilities into BI solutions (e.g., natural language querying, automated insights); evaluates AI-generated code and outputs for accuracy, bias, security, and governance compliance
Proactively identify and lead improvements to reporting workflows and data integration processes, introducing automation and advanced methodologies where applicable.
Evaluate, validate, and recommend new data sources that drive measurable business outcomes.
Collaborate with content development and engineering teams to ensure usability and integration consistency.
Establish and maintain robust documentation standards for datasets and models, ensuring alignment with governance frameworks and enterprise best practices.
Participate in and lead workshops, providing insights and recommendations for systemic process improvements across teams and business units.
Ensure all BI initiatives adhere to data security, governance, and organizational standards while promoting best practices for scalability and sustainability.
Drive adoption of new tools and capabilities
Improve BI delivery and governance processes
Leads pilots of AI-enabled BI features and emerging AI capabilities, evaluating their impact on efficiency, quality, and scalability; shares findings with the broader team
Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department.