Senior Data Analyst

Cleveland State University; Cleveland (OH); Presencial; USD 70.000 - 100.000; Jornada completa

Descripción de la vacante

Cleveland State University seeks a Senior Data Analyst to lead analytical support across major reporting efforts (IPEDS, ODHE, accreditation) and to translate complex questions into actionable data queries. The role designs and maintains interactive dashboards, mentors campus staff on data literacy, and collaborates with partners to ensure data quality, KPIs, standards, and documentation.

You will support data warehouse development and process improvements, with strong knowledge of SQL, Python,

Formación

• Bachelor's degree in mathematics, statistics, economics, computer science, or a related field.
• Three (3) years of progressive experience in information technology management.

Responsabilidades

• Lead analytical support for reporting efforts (IPEDS, ODHE, accreditation).
• Translate complex research questions into data queries and analysis.
• Design and maintain interactive dashboards and decision-support tools.
• Mentor campus staff on data literacy and data governance.
• Collaborate with stakeholders to define institutional KPIs, standards and documentation.
• Support data warehouse development and process improvements.

Conocimientos

Data modeling

ETL/ELT

Data warehousing

SQL

Python

Spark

Azure

Databricks

Educación

Bachelor's degree

Master's degree

Descripción del empleo

Senior Data Analyst

Posted Date: 10/23/2026

Posting Details

• Business Title: Senior Data Analyst
• Posting Category: Administrative and Professional
• Salary Grade: 07T
• Salary Plan: Professional Staff - SEIU
• Department: Institutional Research
• Position Location: Main Campus
• FTE: 1.0
• Hours per week: 40
• Work Schedule: Typically, Monday - Friday, 8:00 AM - 5:00 PM
• Full Time/Part Time: Full Time
• Requisition Number: PT0703980S
• Open Until Filled: Yes
• Review Begins: 10/30/2026

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.