* Position is Eligible for Remote / Work from Home Opportunity * Department: Application Development Telecommuting Eligible: Yes Job Grade: E14 As a condition of employment physical work location must be in one of the 50 states or the District of Columbia. Notice of Collection & Privacy Policy for Applicants Residing in California: California Applicant Privacy Policy | Noridian (noridiansolutions.com) Job Title Business Intelligence Developer Job Summary The Business Intelligence Developer is responsible for the design, development, and maintenance of interactive dashboards and reports that facilitate decision-making across the organization. This role involves conducting thorough analyses to identify necessary data elements and employing data visualization tools and technologies to transform complex data sets into actionable insights. The developer is responsible for understanding and evaluating the data being reported and effectively communicating their analyses and findings to stakeholders. Additionally, this position requires providing technical support for visualizations and self-service tools, alongside offering training and guidance to end users. Essential Functions Key Duties/Responsibilities/Accountabilities - Collaborate with stakeholders to define requirements and develop custom dashboards, reports and other data visualizations as required. Organize and facilitate meetings or workshops to gather requirements and ensure clarity. Utilizing knowledge of the data, recommend to stakeholders methods for the organization to utilize data more effectively and efficiently to drive decisions and make changes. - Provide data analysis and interpretation as it relates to the reports and dashboards. Collaborate on interpreting patterns, trends, and anomalies in the data. Offer insights and recommendations based on data findings. - Utilize BI tools such as Power BI, Tableau, or similar to create visually compelling and interactive dashboards. Design and develop user-friendly interfaces with an emphasis on visual aesthetics and data interactivity. Configure tools and provide training to support self-service reporting. - Maintain and optimize existing dashboards, ensuring they remain relevant and aligned with business needs. Regularly review and update dashboards to incorporate new data or changes in business strategies. Optimize dashboard performance by refining queries and data structures. Gather user feedback to improve usability and effectiveness. - Create training materials and offer training and support to end-users for dashboard usage. Organize and conduct training sessions, workshops, or webinars to educate users on how to navigate and interpret dashboards. Develop user guides, FAQs, or video tutorials. Offer ongoing support, addressing user questions, and troubleshooting issues. - Participate in special projects and perform ad-hoc analyses as required. Quickly respond to unique data inquiries or challenges, providing in-depth analyses as necessary. Collaborate on business initiatives where data-driven insights are paramount. - Continuously stay abreast of industry trends and technologies to ensure state-of-the-art dashboard development. Regularly attend conferences, webinars, or workshops related to BI and dashboard development. Research and test new BI tools or technologies that could enhance current capabilities. - Provide support for extracting, transforming, and loading data from various sources to be used in reports and dashboards while ensuring data quality and integrity. Non-Essential Duties and Functions - Other duties as assigned. Minimum Qualifications - Bachelor's degree in Business Administration, Analytics, Data Science, Management Information Systems, Business Intelligence, Computer Science, Information Technology, or related field or related experience as determined by HR - 3 years of analytic experience that included Dashboard development using tools like Tableau, Power BI, QlikView, or similar related experience as determined by HR - Understanding of statistical methods and tools that can be applied to data to derive insights - Ability to identify patterns, outliers, and anomalies in detailed and complex data - General understanding of core business processes relevant to the organization (e.g., sales, finance, operations) - Ability to engage stakeholders, understand their needs, and translate those needs into technical requirements - Awareness of data governance principles to ensure data is of high quality - Basic understanding of data privacy principles and practices, ensuring data is handled and displayed securely Preferred Qualifications Above requirements and the following: - Master's degree in Business Administration, Analytics, Data Science, Management Information Systems, Business Intelligence, Computer Science, Information Technology, or related field as determined by HR - 2 additional years of Knowledge of statistical analysis and data modeling experience - Certifications in specific BI tools like Tableau, Power BI, or QlikView. - BI Development experience using SQL, Python/R Environment and Cognitive/Physical Demands - Office environment - Ability to read, hear, speak, keyboard, reason, communicate effectively and problem solve - Requires prolonged sitting and telephone usage - Requires the use of office equipment such as computer terminals, telephones, copiers,and printers - Infrequent lifting to 15 pounds - Infrequent stooping Segregation of Duties Every employee is responsible to perform their duties and responsibilities in accordance with Noridian values, policies and procedures, including but not limited to, Segregation of Duties Principles, HIPAA, Security and Privacy, CMS requirements, the Noridian Compliance Program, and any other applicable laws, rules and regulations. Statement of Other Duties This document describes the essential functions, requirements, and responsibilities of this job, and is not intended to be a complete list of all tasks and functions. Employees may be requested to perform job related tasks other than those specifically listed in this description and may be required to perform any task requested by the supervisor or management. Total Rewards Package: Health, Dental and Vision Insurance, Voluntary Insurance Plans, Health Savings and Flexible Spending Accounts, 401k and Company Match, Company-paid Life Insurance, Education Assistance Program, Paid Sick Leave, Paid Holidays, Increasing PTO Accrual Plan, Medical/Parental/Disability Leave, Workers Compensation, Retiree Benefits, Employee Assistance Program, Financial and Health Wellness Benefits, Casual Dress, Open Office Setting, and Online Learning System. CMS Access Compliance and Regulation Contingency Statement Some positions require compliance with (i) federal and agency specific regulations and related clauses included in Noridian's prime contracts with the Government, (ii) background checks, and (iii) eligibility for a government-issued identification card. An employee in this position may be required to possess a “Federal Identification Card” (Federal ID) as a condition of employment. Federal ID’s may include one of the following: Personal Identity Verification (PIV) card, Personal Identity Verification-Interoperable (PIV-I) card, a Local-Based Physical Access Card issued by CMS, or a Local-Based Physical Access Card issued by another Federal agency and approved by CMS. Obtaining a Federal ID and continued eligibility for this position may require the successful completion of a Federal Background Investigation performed by the Federal Government and a residency requirement that you have lived in the United States at least three out of the last five years. Failure to obtain a Federal ID may result in the removal from the position or termination of employment. Equal Employment Opportunity Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) Below is the salary range for potential new hires. Salary Range: The pay range for this position is $79,267.71 – $130,374.83 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Other Compensation: Incentive Plan & Lifestyle Benefit This job will be closed 04/23/2026 at 8:00AM CST. No further applications will be considered.

• Do the portfolio level analysis that tells the discovery team where to focus next, identifying where the biggest clinical and operational gaps exist and which AI opportunity areas have the strongest evidence for investment • Work directly with clinical, operational, health plan, and pharmacy leaders across Geisinger to understand strategic priorities, surface data driven insights, and help shape where discovery energy gets directed • Size opportunities that have never been sized before, building quantitative business cases from messy, incomplete data and turning them into the evidence that determines whether an idea moves forward • Benchmark Geisinger performance against peer health systems and external data sources to identify where the organization has the most to gain and where the market is moving • Design measurement frameworks for early stage pilots from scratch, ensuring that every initiative the team pursues is set up to generate real learning rather than just activity • Produce clear, compelling analytical narratives and visualizations that translate complex findings into strategic recommendations leadership can act on • Collaborate with analysts across the AI portfolio to share methods, data assets, and reusable components that raise the quality of analytical work across the function

Location: Work from home (Pennsylvania) Shift: Days (United States of America) Scheduled Weekly Hours: 40 Worker Type: Regular Exemption Status: Yes Job Summary: Why Geisinger: Geisinger is operationalizing AI at scale across one of the nation's most integrated health systems, moving beyond pilots and proof of concepts to build capabilities that change how care is delivered and how operations run. This role works across clinical, operational, health plan, and pharmacy functions alongside AI product development and organizational leadership to identify and advance the AI opportunities that matter most. This role provides the analytical foundation that makes good AI investment decisions possible, from measuring what is working in production to sizing what is worth building next. Position Summary: This is a role for someone who wants their analytical work to directly shape what gets built and what gets prioritized. Embedded within Geisinger AI product function, you will turn complex clinical and operational data into the evidence that drives portfolio decisions, validates AI performance in production, and informs how the organization communicates value to leadership. You will work closely with product managers, data scientists, and clinical partners across a broad range of AI initiatives spanning care delivery, revenue cycle, operations, and more. Job Duties: ​Key Responsibilities: - Partner with product managers during problem sizing to quantify opportunity areas, establish baselines, and define what success looks like before any solution is built - Conduct exploratory data analysis during model development, profiling data quality, understanding distributions, identifying anomalies, and helping data scientists understand what the data is actually telling them - Build and maintain the feature datasets and data definitions that model development depends on, ensuring the analytical foundation is sound before anyone builds on it - Design and own the measurement frameworks that track AI performance in production, going beyond adoption to capture clinical and operational impact - Dig into Epic, Clarity, Caboodle, and other enterprise data sources to answer hard questions about how AI initiatives are performing and where they need to improve - Identify and resolve data quality issues at the source, working with clinical and operational teams to address problems that would otherwise degrade model performance silently - Turn complex analytical findings into clear narratives and visualizations that help product and strategy leaders make faster, better decisions - Establish and maintain data standards and documentation that make analytical work reusable and trustworthy across the portfolio Work is typically performed in an office or remote environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job. *Relevant experience may be a combination of related work experience and degree obtained (Associate’s Degree = 2 years; Bachelor’s Degree = 4 years, Master's Degree = 6 years). Position Details: Required Qualifications - 5 or more years of experience in business intelligence, data analytics, or healthcare informatics - Deep proficiency in SQL and experience querying Epic Clarity or Caboodle databases - Demonstrated ability to build production grade dashboards in tools such as Tableau, Power BI, or Qlik - Experience working in healthcare settings with familiarity in clinical workflows, revenue cycle metrics, or quality reporting - Strong communication skills with the ability to translate analytical findings for nontechnical audiences - Comfort operating in ambiguous, fast moving environments with multiple competing priorities - Bachelors degree in data science, informatics, health administration, or a related field; advanced degree preferred Preferred Qualifications - Experience supporting AI or machine learning product teams in a healthcare context - Familiarity with Epic reporting workbench, SlicerDicer, or Radar dashboards - Exposure to clinical quality metrics, coding capture, or patient throughput analytics - Experience contributing to vendor RFI or RFP evaluation processes Education: High School Diploma or Equivalent (GED)- (Required) Experience: Minimum of 8 years-Relevant experience* (Required) Certification(s) and License(s): Skills: Group Problem Solving, Teamwork OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities. - KINDNESS: We strive to treat everyone as we would hope to be treated ourselves. - EXCELLENCE: We treasure colleagues who humbly strive for excellence. - LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow. - INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation. - SAFETY: We provide a safe environment for our patients and members and the Geisinger family. We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality. We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

• Partner with product managers during problem sizing to quantify opportunity areas, establish baselines, and define what success looks like before any solution is built • Conduct exploratory data analysis during model development, profiling data quality, understanding distributions, identifying anomalies, and helping data scientists understand what the data is actually telling them • Build and maintain the feature datasets and data definitions that model development depends on, ensuring the analytical foundation is sound before anyone builds on it • Design and own the measurement frameworks that track AI performance in production, going beyond adoption to capture clinical and operational impact • Dig into Epic, Clarity, Caboodle, and other enterprise data sources to answer hard questions about how AI initiatives are performing and where they need to improve • Identify and resolve data quality issues at the source, working with clinical and operational teams to address problems that would otherwise degrade model performance silently • Turn complex analytical findings into clear narratives and visualizations that help product and strategy leaders make faster, better decisions • Establish and maintain data standards and documentation that make analytical work reusable and trustworthy across the portfolio