Senior Data Analyst
Listed on 2026-10-26
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IT/Tech
Data Analyst, Data Engineering, Data Warehousing
Engaged Learning
Leads analytical support for key reporting efforts, for Cleveland State University, ( CSU ), such as, Integrated Postsecondary Education Data System ( IPEDS ), Ohio Department of Higher Education ( ODHE ), accreditation, and strategic planning metrics. Translates complex research questions into actionable data queries and analysis, ensuring data consistency, accuracy, and integrity. Designs and maintains interactive dashboards and decision-support tools using various platforms and supports campus-wide data literacy through training and mentoring.
Works closely with internal partners, ensures high data quality and helps define institutional KPIs, standards, and documentation. Collaborates with stakeholders across the CSU . Delivers insights that inform strategic decisions. Supports data warehouse development, report automation, and process improvement. Performs other functionally related duties as assigned.
- Bachelor's degree preferably in mathematics, statistics, economics, computer science, or a related field.
- Three (3) years of progressive experience in information technology management.
- Master's degree in educational research, social science or related field.
- Experience managing technical or data engineering teams.
- Familiarity with data challenges and solutions in higher education.
- Prior leadership experience in a higher education or public sector environment.
- Comprehensive knowledge of data engineering principles, including data modeling, ETL / ELT processes, data warehousing, lakehouse architecture, and metadata management.
- Strong knowledge of modern data technologies, platforms, and tools such as SQL , Python, Spark, and cloud-based ecosystems e.g., Azure, AWS , Snowflake, Databricks.
- Knowledge of higher education data environments and regulatory compliance requirements, including FERPA , HIPAA , IPEDS , NSF reporting, and other state/federal mandates.
- Strategic thinking and adaptability, with the ability to align data initiatives with institutional goals and respond to evolving organizational needs and technologies.
- Commitment to data governance and security, ensuring compliance with all relevant policies, standards, and legal requirements.
- Excellent communication and interpersonal skills, with the ability to present complex technical concepts clearly to both technical and non-technical stakeholders.
- Advanced analytical and technical skills, with the ability to solve complex data architecture problems and translate strategic data needs into actionable engineering solutions.
- Possess a high degree of confidentiality to available information.
- Proficient in Microsoft Office Suite, including Word, Excel, Outlook, Teams, and PowerPoint.
PT0703980S
Typically, Monday - Friday, 8:00 AM - 5:00 PM
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