Business Intelligence (BI) Developer I - QUICKSIGHT

• Bachelor’s degree in computer science, computer information systems, or a quantitative discipline.
• At least 2 years of hands-on experience designing, developing, and maintaining visualization solutions in Amazon QuickSight is required. Candidates must demonstrate practical QuickSight expertise, including experience creating analyses, dashboards, calculated fields, filters, parameters, and interactive visualizations.
• Familiarity with Tableau dashboard development is required to support additional HSAG visual analytics work; hands-on Tableau development experience is preferred.
• Strong attention to detail and experience documenting business and technical requirements based on user interviews are required.
• Experience with Databricks is preferred.

• Experience working with healthcare data, Medicare data, claims data, quality improvement data, or other regulated data is preferred.
• Proficient in Microsoft Word and Excel.
• Excellent verbal and written communication skills.
• Ability to handle several projects simultaneously and work with multiple teams.

This position requires access to CMS data systems and secure computing environments. As a condition of performing assigned QIO work, the selected candidate must successfully complete all required CMS vetting, identity verification, background investigation, security, privacy, and access-authorization processes applicable to the role.

The employee must maintain eligibility for CMS system access, complete required security and privacy training, comply with CMS and HSAG policies for handling sensitive information, and promptly provide documentation or information needed to establish and retain access.

Employment in the role and assignment of CMS-related duties are contingent upon obtaining and maintaining the required CMS approvals and system access. Inability to obtain or retain required access may affect the individual’s ability to perform the essential functions of the position.

Work Environment

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Serve as an integral member of HSAG’s Data Science & Advanced Analytics division.
• Work with HSAG staff, CMS stakeholders, and other customers to elicit, document, and refine dashboard requirements.
• Design, develop, test, deploy, document, and maintain Amazon QuickSight analyses, datasets, reports, and multi-level dashboards in the CMS environment.
• Develop efficient, intuitive QuickSight dashboard navigation, drill-downs, filters, parameters, calculations, and role-appropriate views.
• Apply data validation and quality-control procedures to confirm that dashboard measures, calculations, labels, and visualizations accurately reflect approved specifications.
• Maintain dashboard version documentation and support controlled promotion of dashboard changes in accordance with CMS and HSAG processes.
• Create and maintain Tableau dashboards or visualizations for other assigned HSAG work, as needed.
• Design and implement proof-of-concept solutions and advanced BI visualizations, applying effective data visualization and dashboard usability practices.
• Use approved data sources and reporting tools to validate dashboard measures, investigate data issues, and support ad hoc analysis.
• Develop clear dashboard documentation, data definitions, user guidance, presentations, and related project materials.
• Provide technical support and troubleshooting to HSAG staff, stakeholders, and providers regarding QuickSight dashboards, data, access, and functionality.
• Coordinate the technical User Acceptance Testing (UAT) process, document findings, resolve defects, and support production readiness for dashboards.
• Manage assigned work across the dashboard development lifecycle, ensuring timely delivery of high-quality products that align with project schedules, QIO contract requirements, security expectations, and milestones.
• Communicate complex technical and analytic topics clearly through written documentation, demonstrations, and oral presentations.