Cleveland State University
Senior Data Analyst
🇺🇸 Cleveland, OH
🕑 Full-Time
💰 TBD
💻 Data Science
🗓️ August 22nd, 2025
Edtech.com's Summary
- Lead analytical support for key reporting such as IPEDS, ODHE, accreditation, and strategic planning metrics.
- Translate complex research questions into actionable data queries and analyses ensuring data accuracy and integrity.
- Design and maintain interactive dashboards and decision-support tools.
- Support campus-wide data literacy through training and mentoring.
- Collaborate with stakeholders and define institutional KPIs, standards, and documentation.
- Support data warehouse development, report automation, and process improvement.
- Proficient in SQL, Python, Spark, cloud platforms (Azure, AWS, Snowflake, Databricks), and Microsoft Office Suite.
- Requires a Bachelor's degree in math, statistics, economics, computer science, or related field and three years of IT management experience.
- Preferred qualifications include a Master's degree, experience managing data engineering teams, and knowledge of higher education data challenges.
- Knowledge of data engineering principles, higher education regulatory compliance (FERPA, HIPAA, IPEDS), excellent communication, strategic thinking, and commitment to data governance.
Senior Data Analyst Full Description
Posting Category | IT/Technology
Salary Grade | 07T
Salary Plan | Professional Staff - SEIU
Hiring Range /Pay Rate |
Department | Institutional Research
Department Description |
Position Location | Main Campus
FTE | 1.0
Job Summary | 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.
Minimum Qualifications | Bachelor’s degree preferably in mathematics, statistics, economics, computer science, or a related field. Three (3) years of progressive experience in information technology management.
Preferred Qualifications | 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.
Knowledge, Skills, and Abilities (KSAs) | 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.
Requisition Number | PT0703681S
Date grant, position, or appointment expires (For Funds Available, Temporary, and Waiver of Posting |
Special Instructions to Applicants |
Applicant Instructions | Offer of employment is contingent on satisfactory completion of the University’s verification of credentials and other information required by law and/or University policies or practices, including but not limited to a criminal background check.
Applications will be exclusively accepted online at http://www.csuohio.edu/offices/hrd/employment.html. Mailed or emailed application materials will not be accepted.
Hours per week | 40
Work Schedule | Monday-Friday, typically 8:00am- 5:00pm.
Advertising Copy |
Full Time/Part Time | Full Time
Posted Date | 08/21/2025
Close Date/Application Deadline |
Open Until Filled | Yes
Review Begins | 08/28/2025
Tentative Start Date |
- * How did you hear about this employment opportunity?
- Public Job Posting
- Internal Job Posting
- Agency Referral
- Advertisement/Publication
- Personal Referral
- CSU Website
- Other
- * Are you a current, internal SEIU applicant/team member?
- Yes
- No
- * Do you have three (3) years of progressive experience in information technology management?
- Yes
- No
- * Do you have a bachelor's degree preferably in mathematics, statistics, economics, computer science, or a related field?
- Yes
- No
- If you selected 'Public Job Posting" or "Other" please provide source.
(Open Ended Question) - * Do you require any type of accommodation, should you be invited to campus for further screening? Please contact CSU at (216) 687-3636 if you need accommodation.
- Yes
- No
- * Are you able to perform the essential functions of this position with or without reasonable accommodation?
- Yes
- No
- Resume
- Cover Letter/Letter of Application
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