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Last updated 07/22/2025
Missouri State University - Springfield Campus
Position Title: Business Intelligence and Database Analyst
Proposed Salary
$75,000
General Function:
The Business Intelligence and Database Analyst develops and automates reporting processes for the Office of Institutional Research and assures the integrity of reported information. This position creates and maintains dashboards providing the ability for decision-makers to drill down in more granular information and quickly and easily change variables. The Business Intelligence and Database Analyst manages data and reporting systems that support the functions of Institutional Research (OIR) and mines data from MSU’s Banner system and other disparate data systems. This role sustains a high-level knowledge base of all MSU database systems for the purposes of programing and relating data in preparation for higher level analytics, such as descriptive, inferential, and predictive statistical methods and applications. The position assures that the information provided complies with federal regulations and University policies, such as the Family Educational Rights and Privacy Act (FERPA), that regulate disclosure of student data and ensures the confidentiality of all processed, stored, or accessed data. The Business Intelligence and Database Analyst manages, designs, develops, implements, and incorporates statistical research applications and strategies to provide executive decision-makers easy access to “real time” data. This position contributes to the identification of best practices in developing, implementing, and monitoring data quality to assure the accuracy and reliability of all data released from the Office of Institutional Research. This role maintains a clean data environment in all IR research-related databases. The Business Intelligence and Database Analyst promotes uniformity of OIR database-related programming efforts, coordinates standardized methods for report creation using programing languages, identifies best practices in developing, implementing, and monitoring data quality, and ensures reporting needs are met in a timely manner. This position collaborates across multiple departments, provides solutions that support the achievement of campus goals, and collaborates in joint design efforts in big data analytics.
This position works on the Springfield campus and performs the following functions:
1. Leads the definition, testing, training, implementation, and support of reporting systems for the Office of Institutional Research (OIR).
2. Understands the information located in the various Banner tables and mitigates the requirement constraints imposed by the current system.
3. Troubleshoots issues quickly and appropriately by identifying immediate remediation, determining the root cause, and collaborating with others to determine a long-term solution.
4. Ensures reporting requirements are understood, agreed to, and signed off at the appropriate stages of each project.
5. Provides an ongoing analysis of processes and workflows including suggestions for improvement.
6. Identifies areas where technology can lead to increased efficiency.
7. Collaborates with the Director, Institutional Research to provide dashboards providing data to aid in decision making.
8. Develops dashboards, reporting systems, the OIR data dictionary, and a query repository.
9. Provides user documentation and training for the system.
10. Alerts the Director, Institutional Research of potential risks and issues of importance.
11. Remains competent and current through self-directed professional reading, developing professional contacts with colleagues, attending professional development courses, and attending training and/or courses as directed by the supervisor.
12. Supports the overall success of the Office of Institutional Research by performing other duties as assigned.
Education: A Bachelor’s degree required, a Master’s degree preferred. An equivalent combination of years of experience and education may be considered for substitution of educational requirements.
Experience: A Bachelor’s degree and five years of experience working in higher education is required. A Master’s degree and three years of experience working Institutional Research or a related environment is preferred.
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Oklahoma City Community College
Position Title: Institutional Research Analyst
Placement Range
$51,066.40 - $57,449.70
General Description
The Institutional Research Analyst gathers, manages, and analyzes a wide range of institutional data – both from within the College and from regional and national sources – to inform decisions, support student success, and meet compliance and accreditation requirements.
Reports To
Director of Institutional Effectiveness
Minimum Education/Experience
Bachelor’s degree and minimum (2) years’ experience including research, data analysis, and information dissemination in an educational setting
OR
Master’s degree in Behavioral Research, Data Analytics, Statistics or related field
Required Knowledge, Skills & Abilities
Knowledge:
Research methods, survey design, and statistical analysis
Database software and reporting frameworks
Data querying, cleaning, and transformation
Skills:
Database or statistics programming (e.g. SAS, R, Stata and similar)
Measurement and research design
Communication about data/statistics with all levels of data literacy
Abilities:
Ability to synthesize and summarize data
Ability to communicate complex findings clearly and effectively—both visually and in writing
Able to translate raw data into actionable insight
Preferred Qualifications
Experience with a large database system (Evisions Argos or similar)
Interactive Dashboard design (Tableau, PowerBI, SAS Viya, etc.)
Familiarity with SQL
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Northeast Community College - Norfolk, Nebraska (Remote Position)
Position Title: Data Analyst
The Data Analyst plays a key role in delivering actionable insights by managing, analyzing, and visualizing data to support strategic decision-making. The Data Analyst will have strong technical expertise and a solid understanding of student information system (SIS) and learning management system (LMS) data structures and reporting needs in a higher education setting. The analyst will support the integration and development of Power BI dashboards to enhance strategic decision-making and campus data literacy. Responsibilities include analyzing data from multiple sources, interpreting results, and developing data models, reports, and dashboards that deliver actionable insights for college initiatives.
This position works under general direction to execute complex technical and professional tasks across varied contexts, ensuring data integrity, reliability, and accessibility while contributing to process enhancements and organizational growth.
This position is remote.
Qualifications (Education): Bachelor’s Degree in Business Intelligence, Data Science, Computer Science, Business Analytics, Mathematics, or a related field.
Qualifications (Experience & Skill):
Data Modeling and Design
Applies data modeling and design techniques based on organizational requirements.
Develops, maintains, and explains data structures and associated components to support decision-making.
Data Engineering
Assists in the development and implementation of data pipelines and storage systems.
Ensures the security, accessibility, and retrievability of data.
Data Visualization
Designs and prototypes data visualizations using appropriate tools and techniques.
Refines visualizations through user feedback to support decision-making and storytelling.
Data Analytics
Gathers and prepares data from diverse sources to support advanced analytics.
Applies statistical methods and tools to analyze data, identify trends, and develop actionable insights.
Business Intelligence
Sources, prepares, and validates data for standard business intelligence activities.
Delivers reports aligned with stakeholder needs and organizational standards.
Identifies opportunities for improved business intelligence tools and processes.
One or more years of experience in advanced analytics or predictive modeling in the higher education setting.
Three or more years of experience in data analysis, modeling, and visualization.
Proficiency in tools such as Power BI, Tableau, or similar visualization platforms.
Proficiency in SQL, Python, R, or other relevant programming languages.
Strong analytical, organizational, and communication skills.
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