Data Analyst

Position Summary:

The Data Analyst converts governed data into clear, reliable information that helps CORE leaders and teams understand performance, identify opportunities, and take action. The analyst develops and maintains dashboards, reports, visualizations, and analyses; validates reporting outputs; and translates approved performance priorities, KPI definitions, and business rules into clear reporting requirements.

Working under the supervision of the Chief Information and Supply Chain Officer and in close partnership with the Chief Performance Officer and Performance Team, the analyst serves as a bridge between CORE's business and clinical needs and its technical data environment. The position works with clinical and non-clinical leaders, subject matter experts, data owners, and the Data and Analytics Engineer to ensure that reporting is accurate, understandable, usable, and aligned with organizational objectives.

Essential Job Functions:

- Reporting and visualization development - Develop and maintain Power BI reports, dashboards, scorecards, and visualizations using approved data sources and governed semantic models. Create report mock-ups and organize information for executive, operational, clinical, and functional audiences.

- Performance analysis and insights - Analyze trends, variances, patterns, anomalies, segments, and performance drivers. Conduct descriptive, diagnostic, and, when appropriate, predictive analyses to help leaders understand what is occurring, why it may be occurring, and where further investigation or action is needed.

- Requirements and KPI translation - Partner with the Performance Team and stakeholders to document business questions, approved KPI definitions, formulas, targets, dimensions, filters, reporting frequency, security needs, source-system context, and acceptance criteria. Translate those needs into actionable specifications for reporting and technical development.

- Data validation user acceptance testing and report certification - Reconcile reporting outputs to approved source information, test calculations and filters, coordinate user acceptance testing, investigate discrepancies, and work with the Data and Analytics Engineer and data owners to resolve defects or clarify business rules.

- Adoption training and documentation- Develop user guidance, report descriptions, metric documentation, and training materials. Demonstrate reporting solutions, gather feedback, monitor usage and usability, and recommend improvements that increase adoption and decision value.

- Governance collaboration and professional development - Participate in data governance, project, performance, and departmental meetings. Complete assigned action items and maintain relevant knowledge of analytics methods, reporting tools, data privacy, and emerging capabilities, including responsible AI-assisted analytics.

- Promotes the Mission, Vision, and Core Values of CORE.

- Maintains confidentiality of all employee and donor/recipient information.

- Perform other duties and special projects as assigned.

Non-Essential Job Functions:

- Provide backup support for select administrative reporting activities during staff absences.

- Serve on organizational committees, workgroups, or task forces as assigned.

- Represent CORE in external professional associations, conferences, or user groups when assigned.

Position/CORE Competencies:

- Analytical Thinking and Problem Solving: Evaluates information objectively, identifies meaningful patterns, and develops practical, evidence-based conclusions.

- Accuracy and Attention to Detail: Produces dependable work, validates outputs, and addresses discrepancies before information is released.

- Business and Clinical Partnership: Builds productive relationships with stakeholders and translates operational needs into understandable analytics solutions.

- Communication and Data Storytelling: Explains complex quantitative information clearly to technical and non-technical audiences.

- Accountability and Results Orientation: Manages priorities, meets commitments, documents work, and escalates material risks or barriers appropriately.

- Continuous Improvement and Learning: Uses feedback, performance results, and emerging practices to improve analytics products and processes.

- Integrity, Confidentiality, and Responsible Data Use: Protects sensitive information and applies governance, security, privacy, and responsible AI expectations.

- Customer Focus: Designs usable solutions, responds professionally to users, and supports adoption through guidance and training.

- Collaboration: Works effectively with the Performance Team, data owners, business and clinical leaders, and technical partners.

Work Environment and Physical Requirements:

- Work is primarily performed in the office environment in Pittsburgh, with remote or hybrid work subject to approval.

- Work requires frequent use of a computer, keyboard, mouse, telephone, and video conferencing technology, with prolonged periods of sitting and viewing screens.

- The position requires the ability to communicate effectively, review detailed information, and manage multiple priorities in a deadline-driven environment.

- Occasional movement within office or operational areas may be required to meet with stakeholders, provide training, or support projects.

- Occasional schedule flexibility may be required to support critical reporting, validation, or organizational needs.

OSHA Category:

- I - Employees who are exposed regularly to bloodborne pathogens while performing their assigned job duties. Bloodborne pathogen protection is required.

- II - Employees who have occasional exposure to bloodborne pathogens while performing their assigned job duties. Bloodborne pathogens protection is required.

- III - Employees who never have exposure to bloodborne pathogens while performing their assigned job duties.

Qualifications

Required Education and Experience:

- Bachelor's degree in data analytics, business analytics, statistics, data science, information systems, healthcare administration, business, or a related field, or an equivalent combination of education and relevant experience.

- At least three years of relevant experience in data analysis, performance reporting, business intelligence, decision support, or a related field.

- Proficiency developing dashboards and visualizations in Power BI or a comparable enterprise analytics platform; experience with DAX and governed semantic models is strongly preferred.

- Working proficiency in SQL for data querying, investigation, reconciliation, and validation.

- Advanced Excel skills and the ability to analyze, organize, and explain complex quantitative information.

- Experience gathering and documenting reporting requirements, translating KPI definitions into specifications, and supporting user acceptance testing and report validation.

- Strong written, verbal, facilitation, data-storytelling, and customer-service skills with the ability to communicate effectively with technical and non-technical audiences.

- Strong attention to detail, sound judgment, organizational skills, and the ability to work independently while protecting confidential and sensitive information.

Preferred Education and Experience:

- Experience in healthcare, organ procurement, transplantation, clinical operations, or another regulated and mission-critical environment.

- Experience with Microsoft SQL Server, SSRS, cloud analytics platforms, statistical tools, Python, or R.

- Experience with enterprise KPI programs, balanced scorecards, data governance, metric catalogs, reporting certification, or performance-improvement initiatives.

- Experience with forecasting, predictive analytics, or the responsible use of AI-assisted analytics tools.

- Relevant Microsoft Power BI or analytics certification.