Senior Data Analyst

Responsibilities Data Management (20%) Collaborate with IT, Institutional Research, and campus stakeholders to design and build automated data pipelines supporting the enterprise data lake architecture. Develop and maintain ETL/ELT processes to ingest, transform, and integrate data from multiple systems into the data lake. Support implementation and ongoing optimization of the College’s cloud‑based data warehouse and data lake environment. Manage the lifecycle of institutional data to ensure integrity, accuracy, consistency, and availability across the platform. Support and maintain Ellucian Banner ODS integrations and related data flows. Implement and enforce data governance practices, including metadata management, data quality standards, and data lineage tracking. Partner with stakeholders to ensure secure and compliant use of data, including adherence to FERPA and institutional policies. Evaluate and integrate emerging technologies, including AI tools, ensuring proper governance, security controls, and cost awareness. Establish and maintain data tracking, validation, and quality assurance processes to ensure reliability of analytical outputs. Data Integration & ETL/ELT (15%) Collaborate with IT colleagues and other university stakeholders to ensure seamless data integration from various sources into the College’s enterprise data lake platform for analysis and reporting. Develop and manage third‑party ETL/ELT processes to extract, transform, and load data from multiple sources to support report and dashboard creation, including cost plans, payors, and AI implications. Monitor and troubleshoot ETL/ELT processes to ensure data quality and reliability. Ensure data pipelines align with institutional data governance standards, including metadata, classification, and lineage requirements. Maintain stability, operational support, and legacy status for the Ellucian Operational Data Store. Data Analysis & Reporting (15%) Conduct comprehensive data analysis to identify trends, patterns, and anomalies, providing actionable insights that support strategic planning and operational efficiency. Develop and maintain dashboards, reports, and visualizations to communicate findings to stakeholders. Offer actionable recommendations based on data analysis to drive business improvements. Create reports and contribute to processes designed to enhance harmonization and quality control between the College’s multiple data systems. Support & Training (15%) Provide training and support to end‑users on effectively using and interpreting business intelligence reports, ensuring they can leverage insights for decision‑making. Develop and maintain data and business process documentation in written and visual forms to ensure continuity and accurate representation of current processes. Triage existing data problems and collaborate with business unit analysts and institutional data stewards to resolve performance and data errors within required deadlines. Conduct thorough testing and validation of reports to ensure accuracy and reliability, regularly reviewing and updating reports to reflect changes in business needs, data sources, or methodologies. Business Intelligence (BI) Strategy & Project Management (15%) Contribute to institutional data literacy goals that empower campus stakeholders to understand, interpret, and effectively use data in decision‑making. Provide research‑backed recommendations for developing a data strategy and a BI strategic roadmap. Research emerging BI and data analysis technologies, industry trends, and new analytical methods to enhance campus‑wide data insights and support strategic, data‑informed decision‑making. Evaluate, implement, and optimize business intelligence tools and functionalities, including advanced features of existing platforms, to support institutional priorities and align with the College’s strategic plan. Manage projects involving BI and serve on project teams for all BI‑related projects. Collaboration & Communication (10%) Participate in institutional data‑related committees and groups. Work collaboratively with BI teammates, IT Business Consultants, and cross‑functional stakeholders across institutional divisions to gather requirements, understand reporting objectives, maintain knowledge of business processes and data relationships, and support related technical needs. Communicate complex data concepts to non‑technical stakeholders in a clear and concise manner. Continuous Improvement (10%) Stay up‑to‑date with industry trends and best practices in data analysis, data warehousing, and data lakes. Identify opportunities for process improvements and implement innovative data solutions. Engage in continuous professional development, pursuing relevant training, certifications, and learning opportunities to stay current with data analysis tools, methodologies, and higher education trends; share acquired knowledge to enhance team capabilities and institutional data practices. Qualifications A bachelor’s degree in Data Science, Computer Science, Information Technology, Statistics, Mathematics, or a related field and five years of applicable experience in data analysis and warehousing is required. Equivalent experience may substitute for the bachelor’s degree on a year‑for‑year basis. Master’s degree is preferred. Candidates with an equivalent combination of experience and/or education are encouraged to apply. Candidates should bring a forward‑thinking mindset and technical acumen to responsibly harness evolving platforms and toolsets, e.g., the impact of AI on data and technology roles. Strong self‑initiative, exemplary work ethic, and continued professional development are expected, commensurate with a senior‑level role. Some occasional travel for professional development, conferences, and meetings may be required. Benefits Salary is commensurate with education and experience that exceeds the minimum requirements. Offers of employment are contingent upon a successful background check. #J-18808-Ljbffr