Senior Data Analyst

Data Management 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 and ETL/ELT 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 In collaboration with institutional data owners, develop and manage 3rd party (non-ERP) ETL/ELT processes to extract, transform, and load data from multiple sources to support report and dashboard creation. This includes ensuring the identification and inclusion of necessary cost plans/payors and assessments of AI implications (e.g., security, costs, etc.) 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 Ensure legacy Ellucian Operational Data Store remains stable, operational, and supported Data Analysis & Reporting Conduct comprehensive data analysis to identify trends, patterns, and anomalies in data to provide actionable insights that support strategic planning and operational efficiency Develop and maintain dashboards, reports, and visualizations to communicate findings to stakeholders Provide actionable recommendations based on data analysis to drive business improvements Create reports and contribute to the development of processes designed to enhance harmonization and quality control between the College’s multiple data systems Support and Training Provide training and support to end-users on how to effectively use and interpret business intelligence reports, ensuring they can leverage the insights for decision-making Develop and maintain data and business process documentation in written and visual forms to ensure continuity in the storage and archival of historical data files, as necessary. Ensure that documentation is maintained and accurately represents current processes. Translate technical procedures into forms of documentation that are understandable to non-experts. Periodically solicit feedback from colleagues to ensure documentation is interpretable and implementable by others Triage existing data problems and collaborate with business unit departmental data analysts and institutional data stewards to ensure that performance and data errors are resolved within the required deadlines Conduct thorough testing and validation of reports to ensure accuracy and reliability. Regularly review and update reports to reflect changes to business needs, data sources, or methodologies Business Intelligence (BI) Strategy and Project Management Contribute to institutional data literacy goals that empower campus stakeholders to understand, interpret, and effectively use data in their decision‑making processes Provide research‑backed recommendations for consideration in the development of a data strategy and a BI strategic roadmap Research emerging BI and data analysis technologies (e.g., unstructured data tools), 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 and Communication Participate in institutional data‑related committees and groups Work collaboratively with BI teammates, IT Business Consultants, and cross‑functional stakeholders across institutional divisions (e.g., Enrollment Planning, Academic Affairs, Business Affairs, Student Affairs, and IT) to gather requirements, understand reporting objectives, maintain knowledge of business processes and cross‑functional data relationships, and support related technical needs Communicate complex data concepts to non‑technical stakeholders in a clear and concise manner Continuous Improvement 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 by 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 A bachelor’s degree in Data Science, Computer Science, Information Technology, Statistics, Math, or a related field and five years of applicable experience in data analysis and warehousing is required. Relevant experience may be substituted for the Bachelor’s degree on a year‑for‑year basis. A 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 the technical acumen to responsibly harness evolving platforms and toolsets – e.g. AI’s growing impact in 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. Offers of employment are contingent upon a successful background check. #J-18808-Ljbffr