Data Analyst

National University is hiring a Data Analyst to transform institutional data into actionable insights that support decision-making and student success. The role develops and maintains analytics and reporting solutions, validates data, partners with stakeholders, and uses AI-enabled tools responsibly to improve reporting processes.

Responsibilities:

• Perform data profiling, validation, reconciliation, and quality assurance activities across institutional data sources, including Anthology Student, enterprise data warehouse environments, and legacy systems, to ensure the accuracy and integrity of reporting outputs
• Use SQL and other approved analytical tools to gather, analyze, interpret, and validate data from new and legacy data warehouses, identifying trends, patterns, anomalies, and opportunities to improve institutional effectiveness, student success, and compliance reporting
• Design, develop, test, and maintain institutional, operational, financial aid, compliance, and other analytical reporting solutions, including Excel deliverables, Power BI dashboards, paginated reports, and other approved analytical products, ensuring alignment with business definitions, accessibility standards, and reporting best practices
• Partner with stakeholders and cross-functional teams to gather requirements, translate business needs into technical specifications, estimate effort, manage expectations, and communicate insights and recommendations that support data-informed decision making
• Collaborate with data engineering, governance, and business partners throughout the data and reporting lifecycle, including requirements definition, data modeling, security, quality assurance, and deployment activities across development, testing, and production environments
• Work within agile and scrum frameworks to prioritize work, support sprint planning activities, and ensure timely delivery of analytics, reporting, and data solution initiatives
• Leverage AI-enabled, workflow, and automation tools responsibly to improve reporting, documentation, data preparation, validation, testing, and other recurring analytics processes while maintaining appropriate data security, governance, and quality standards
• Identify and implement opportunities for continuous improvement related to analytics, reporting, data quality, automation, documentation, and stakeholder support
• Other duties as assigned

Requirements:

• Bachelor's degree required; preferably in Data Science, Analytics, Computer Science, Statistics, or Institutional Research
• Minimum of two (2) years of experience in data analytics, reporting, institutional research, business intelligence, or a related analytical function required, including experience translating business questions into data requirements and producing accurate, actionable reporting outputs
• Strong analytical and problem-solving skills, including the ability to collect, organize, analyze, interpret, and communicate complex information with accuracy, attention to detail, and sound judgment
• Proficiency in SQL development, query design, data extraction, and analysis using relational database platforms such as Microsoft SQL Server or equivalent technologies
• Advanced proficiency in Microsoft Excel, including pivot tables, charts, formulas, and data analysis techniques
• Ability to work collaboratively with stakeholders and cross-functional partners to translate business needs into technical requirements, reporting logic, and sustainable data solutions
• Strong written, verbal, and presentation skills, with the ability to communicate technical concepts and analytical findings effectively to both technical and non-technical audiences
• Foundational AI literacy, including the ability to use AI-enabled tools responsibly, evaluate AI-generated outputs for accuracy, safeguard sensitive information, and improve analysis, documentation, testing, and reporting workflows
• Ability to manage multiple priorities in a fast-paced environment, adapt to changing business needs, work independently and collaboratively in a remote setting, and consistently deliver high-quality results under deadlines
• Demonstrated professionalism, integrity, and sound judgment when handling confidential, regulated, or sensitive information
• Proficiency with Microsoft 365 applications and collaboration tools
• Master's degree preferred
• Previous experience working with institutional, student, academic, marketing, compliance, or operational data preferred
• Experience working with Anthology Student, student information systems, enterprise data warehouses, or higher education reporting platforms preferred
• Experience with advanced data visualization platforms like Power BI preferred
• Experience in higher education preferred
• Experience working in a technology-driven enterprise is a plus
• Experience using AI-enabled tools to support analysis, documentation, quality assurance, workflow automation, report development, or insight generation is a plus
• Knowledge of higher education data domains and reporting practices, including student lifecycle, enrollment, student success, academic, operational, compliance, marketing, and institutional reporting; familiarity with federal, state, and internal reporting requirements preferred
• Experience developing analytics and reporting solutions using Power BI, Power Query, DAX, paginated reports, or similar business intelligence tools