The University of Kansas Health System

Lead design, development, and maintenance of scalable BI solutions, data modeling, and infrastructure for analytics in a healthcare environment, including collaboration with multiple teams and innovation leadership. | Bachelor's degree or equivalent, 7+ years BI tool and SQL experience, 5+ years data mining with Python/R, Epic certification within 1 year, and preferred cloud and healthcare experience. | Position Title Data Analytics Engineer Principal (Remote) Broadmoor Campus Position Summary / Career Interest: Data Analytics Engineer will help architect analytical frameworks and promote self-service offerings in the business intelligence space for technical content developers and other stakeholders in the health system. This role supports continuous improvement and technology development by leveraging available and emerging data sets from our business enterprise, processes, and machinery that enable improved content delivery to our customers. Data Analytics Engineers will work closely with various teams within the health system that support content development processes to design, build, troubleshoot, and improve our data pipeline and data models, with a focus on constructing scalable and performant infrastructure for analytical use. Further, the Data Analytics Engineer will be responsible for pioneering new methodologies, defining and improving performance metrics and evaluation, and will generally lead innovation efforts on the Data Analytics Engineering team. Successful candidates should have strong interpersonal skills and be comfortable operating in a dynamic environment. You will need advanced SQL skills to transform data from multiple sources; and strong communications skills to clearly document and explain the final data model. There is a significant amount of analytical data infrastructure to build for a growing team, so you will need to balance priorities, meet deadlines and make sure you are investing enough time to make data models sustainable and easy to repurpose in the future. Lastly, the Data Analytics Engineer should have an entrepreneurial spirit, always asking "how can we do this better", to drive outcomes for patients as well as for the Health System as a whole. Responsibilities and Essential Job Functions • Leadership • Organize data in a meaningful way and provide additional context as necessary so that it is ready for analysis by technical content developers and other key stakeholders in the health system that promotes self-service. • Lead the design, development, and maintenance of innovative and scalable business intelligence solutions across the organization, with the highest standards of analytical rigor and data integrity. • Collaborate with Data Management team to Knowledge Management teams build and maintain complex databases with processes that data cleansing takes place further upstream. • Lead Change Advisory Board activities to maintain and introduce change to data models and content produced by team members. • Provide guidance to Change Advisory Board team regarding change management practices and principals to analytical content. • Lead processes that define and improve internal standards for style, maintainability, and best practices for a high-scale data infrastructure. • Lead large scale analytical initiatives with notable risk and complexity to define scope, develop strategy for execution, manage timelines, and coordinate activities with other involved team members. • Lead deployment, and integration of predictive models and artificial intelligence into development and production environments with BI Statisticians and Data Scientists in the EMR and non-EMR environments. • Conduct code reviews to provide guidance on engineering best practices and compliance with development procedures. • Contribute to a culture of innovation, collaboration, and continuous improvement. • Essential Skills • Write clean, maintainable, and well-documented code with focus on software engineering reliability standards embedded in development standards to support data processes. • Apply coding & engineering best practices (ex. SQL formatting, version control, code review) to data team workflows, and continue to develop & promote best practices among content developers across teams that consider scalability, reliability and performance of systems/contexts affected when defining technical designs. • Assist with maintenance of operational life cycle support for Caboodle and internal EDW including upgrades, patch releases, and automation of manual processes. • Create integrated views of data collected from multiple sources in the EMR and non-EMR environment. • Analyze query performance and perform query tuning to assist content developers in designing and optimizing queries. • Analyze data compiled by the Data Management team and perform data cleansing that complies with data hygiene best practices. • Consistently create optimal design adhering to architectural best practices; consider scalability, reliability and performance of systems/contexts affected when defining technical designs. • Connect The Dots • Design, transform, and implement data models (EPIC, Caboodle, Star Schema, Predictive, etc.) that support flexible querying, data analysis and visualization of content, ensuring all aspects of product development follow compliance and security best practices. • Track industry trends and emerging technology changes and work with IT & Platform teams to ensure these are understood, evaluated, and enabled as necessary (including leading of implementation and training). • Review tasks critically and ensure they are appropriately prioritized and sized for incremental delivery. • Anticipate and communicate request and project roadblocks and delays before they require escalation. • Communicate with stakeholders of varying seniority across the company, including senior executives, to demonstrate value of the data infrastructure projects, serving as a technical thought partner and leader. • Innovation and Process Improvement • Discover opportunities for an organization to improve its systems and processes through the use of data analytics. • Ability to recommend Data Management process, governance, organizational and platform models, tool selections and application integration options to clients. • Comply with all policies and standards. • Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department. • These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required. Required Education and Experience • Bachelors Degree Computer Science, Bioinformatics, Mathematics, Engineering, or related field (or equivalent years in experience) • 7 or more years experience developing applications with one or more business intelligence tools such as Power BI, Qlik, SlicerDicer, SAP Business Objects, Tableau, etc. • 7 or more years SQL experience in a relational database or an equivalent combination of education and experience • 5 or more years experience using data mining/analytical methods and associated tools such as Python, R, etc. • 1 or more years experience successfully implementing analytical and business intelligence solutions and/or processes at the enterprise level Preferred Education and Experience • Master's Degree in Engineering, Healthcare Administration, Data Analytics, or another related field • Experience with cloud service such as Azure Cloud, Synapse, Data Factory, Azure SQL • Experience in healthcare environment • Experience with building ETL Pipelines • Experience working with Caboodle • Experience with financial modeling, machine learning / AI models, and/or statistics Required Licensure and Certification • Epic certification in 4 data model(s). If not certified, certification is required within 1 Year Preferred Licensure and Certification • Project management, Lean, Six Sigma, Agile certification • MS Certifications: Azure Data Fundamentals, Power BI Data Analyst Associate, Azure Enterprise Data Analyst Associate, MCSA: BI Reporting, MCSA: SQL 2016 BI Development, Azure Data Engineer Associate, Azure Developer Associate, Customer Data Platform Specialty, Power Platform App Maker Associate Time Type: Full time Job Requisition ID: R-46724 We are an equal employment opportunity employer without regard to a person’s race, color, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, ancestry, age (40 or older), disability, veteran status or genetic information. Need help finding the right job? We can recommend jobs specifically for you! Create a custom Job Alert by selecting criteria that suit your career interests.

The HIM Data Integrity Analyst prepares and submits statistical reports on health system metrics and analyzes medical record documentation audits. They also identify data discrepancies and collaborate with various teams to ensure data consistency and integrity. | Candidates must have a High School Graduate or GED and an Associate's Degree in a related field or equivalent experience. A minimum of 2 years of experience in data reporting or analytics is required, with a preference for a Bachelor's Degree in Health Information Management. | Position Title HIM Data Integrity Analyst Remote Position Summary / Career Interest: The Health Information Management Data Integrity Analyst reports census and other health system statistics on a set schedule and as needed to satisfy ad hoc data requests. The HIM Data Integrity Analyst completes quality reports, surveys - including COTH, Joint Commission, Magnet and other data reporting requests as needed. This position analyzes medical record documentation audits and prepares weekly/monthly trending data reports containing compliance rates for Joint Commission or other regulatory documentation requirements. The HIM Data Integrity Analyst may also work with our Patient Identity team to complete merges/unmerges and patient safety events, insuring one patient, one record, and integrity within our Master Patient Index. Responsibilities and Essential Job Functions Prepares and submits statistical reports on census and other health system metrics set to a schedule (daily, weekly, monthly, quarterly, and annually). Builds and reports out quality data, surveys, and ad hoc requests. Writes complex report criteria on query logic. Performs analysis of existing reports, user requests, workflow opportunities and recommends best practices, efficiencies for data production, as well as explanations for data variances. Analyzes and prepares reports on trending with compliance medical record documentation, i.e. discharge summaries, operative/procedural reports, verbal orders, etc. for timeliness, completeness, and quality to insure regulatory requirements are met as well as adherence to health system policies and procedures. Identifies data discrepancies and data quality issues, and collaborates with other analytics team members, data integrity analysts, clinical departments, providers and Subject Matter Experts to ensure data consistency and integrity. Achieves consistent quality performance and meets the quality standard defined by the HIM Department. Achieves consistent productive performance and meets production standard for the specific job role. Performs merges, unmerges, overlays, and chart corrections as necessary in all hospital systems, including legacy systems to ensure each patient only has one medical record number. Uses root cause analysis skills in problem solving to identify discrepancies and their cause and determine, coordinate, and execute appropriate steps for remediation. Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department. These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required. Required Education and Experience High School Graduate or GED. Associates Degree in a healthcare, business or related field of study from an accredited college or university OR Associate's Degree equivalent of 4 years of experience in reporting, or data analysis. 2 or more years of experience in data reporting, analytics, statistical report out or query writing. Preferred Education and Experience Bachelors Degree in Health Information Management (RHIA), or Computer Science/Information Systems from an accredited college or university. Experience working with Epic data and Clarity. Preferred Licensure and Certification Registered Health Information Administrator(RHIA) - American Health Information Management Association (AHIMA) if applicable. Knowledge Requirements Proficient with MS Office Products, Excel. Time Type: Full time Job Requisition ID: R-45332 We are an equal employment opportunity employer without regard to a person’s race, color, religion, sex (including pregnancy, gender identity and sexual orientation), national origin, ancestry, age (40 or older), disability, veteran status or genetic information. Need help finding the right job? We can recommend jobs specifically for you! Create a custom Job Alert by selecting criteria that suit your career interests. Notice: If you are a Current Employee or Contract Worker, please log into Workday to search for and apply to jobs using the Career application or by searching "Find Jobs". Your application, if submitted using this portal, cannot be moved forward. About The University of Kansas Health System As part of the region’s premier academic medical center, The University of Kansas Health System in Kansas City is a world-class healthcare provider and destination for complex care and diagnosis. We are driven by our commitment to service, continuous improvement and to the highest degree of excellence. Collaboration between physicians, nurses, researchers, educators and other professionals who share their expertise leads to exciting discoveries and life-changing treatments for the people we serve.