Position Summary / Career Interest:

As a Senior EMR Developer within the centralized Analytics and Business Intelligence department, you will utilize your expertise in the EMR system to fulfill complex analytical requests from across the health system. You will play a key role in designing, developing, and implementing solutions within the EMR environment to improve patient care, enhance operational efficiency, and support data-driven decision-making. Ideal candidates have a deep understanding of the EMR system and healthcare data, proven experience in data analysis and report development, and strong problem-solving skills. You should be proficient in SQL and other relevant technologies for data extraction and manipulation. Excellent communication and collaboration skills are also essential. Holding at least two Epic data model certifications (Access, Clinical, or Revenue Cycle) is required.


Responsibilities and Essential Job Functions

• Write clean, maintainable, and well-documented code with focus on reliability embedded in development standards to support data processes.
• Engage with Application Analysts and Clinical Informatics Analysts during design and build stages to align content development with operational workflows and validate requirements that define success as part of the implementation in the integrated data platform.
• Engage with Data Analytics Engineers to profile existing data models and develop recommendations for improvement that foster scalability and sustainability.
• Support review of upgrade documentation release notes, create follow-up tasks, and find and complete follow-up tasks for release and determine how to implement the changes.
• Support upgrades to ensure all analytical solutions are functioning as intended, testing analytics build in a specified testing environment and volume testing in production environment.
• Create, analyze, modify, configure, and distribute content using information technologies to support clinical and operational processes and organizational initiatives in the EMR environment.
• Perform all steps of product development stages when designing new data models (requirements collection, research, development, testing, deployment, monitoring, and configuration) that meet health system development standards based on assigned domains.
• Responsible for integrity of the outputs including validation of the data in analytical solutions, systems, and data domains.
• Monitor the performance of existing analytical solutions and taking corrective action to optimize or improve their performance for assigned domains and associated data models.
• Detect data discrepancies and data quality issues and work with other content development members and subject matter experts to ensure data consistency and integrity within systems, data models, and applications.
• Demonstrate a strong understanding of how data analysis contributes to overall business goals.
• Understand workflows, data collection methods, and reporting solutions to present advantages/disadvantages of analytical options available to the customer.
• Translate analytical business requirements within request and design solutions that meet the needs of the customers.
• Assist in the development and presentation of analytical findings to stakeholders, fostering collaborative discussions and contributing to informed decision-making.
• 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.
• Actively participate in training sessions and workshops.
• Identify new data sources necessary to achieve desired clinical and/or business outcomes and engage with content development support teams to integrate data into a consistent and usable format in the EMR environment.
• Discover opportunities for an organization to improve its systems and processes through the use of data analytics.
• Assist with efforts to develop and maintain documentation related to datasets and data models in the EMR environment, ensuring that everyone on the content development teams uses the same language, definitions, version control, and change management guidelines.
• 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 in Computer Science, Information Management, Engineering, or related field (or equivalent years in experience).
• 3 or more years of experience working with one or more Epic suite of analytical tools such as Crystal, Radar, Reporting Workbench, SlicerDicer, etc.
• 4 or more years of data analysis and content development experience in a healthcare environment (including knowledge of standard healthcare nomenclator and terminology).
• 4 or more years of SQL experience in a relational database or an equivalent combination of education and experience or other comparable programming language.
• 1 or more years experience working with Caboodle.

Preferred Education and Experience

• Master's Degree in Business/ Health Administration, Computer Science/ or related field
• Experience developing applications with one or more business intelligence tools such as Power BI, Qlik, SAP Business Objects, Tableau, etc.
• experience with database management technologies.
• oexperience in database building, maintenance, and reporting.

Required Licensure and Certification

• Epic certification in 2 data model(s). within 1 Year

Knowledge Requirements

• Proficiency with MS Office products.

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.