The Data Analyst role at Oklahoma State University supports institutional decision-making by analyzing budget, finance, and HR data across the OSU System. The position develops data extraction programs, generates analytical reports, and collaborates with administrators, faculty, and external agencies to deliver high quality analytics.
Responsibilities
- Contributes to data driven decision making by analyzing budget, finance, and human resources data across the OSU System to produce actionable analytics for leadership.
- Designs, implements, and maintains data extraction workflows; creates analytical reports; and applies statistical and mathematical models to inform university decisions.
- Collaborates with OSU administrators, faculty, and external partners to ensure timely, accurate delivery of institutional data.
- Supports the development and upkeep of ePrint and other specialized reports available to colleges and campus offices.
- Explores and develops statistical models aligned with OSU management objectives.
- Proposes and implements enhancements to keep data extraction processes efficient and streamlined.
Requirements
- Bachelor's degree in Business, Mathematics, Computer Science, MIS, Statistics, Education, or a related technology field (degree must be conferred by the start date).
- At least two years of experience in analytics, statistical or mathematical modeling, or SQL programming.
- Proficiency in SQL or SAS for data extraction and analysis.
- Working knowledge of Microsoft Office Suite (Word, Excel, Access, PowerPoint, Outlook).
- Excellent oral and written communication skills.
- Ability to build constructive relationships and collaborate effectively with diverse stakeholders.
- Strong organizational skills with the ability to manage multiple projects, work under pressure, meet deadlines, and prioritize tasks.
- Self motivated, conscientious, and detail oriented.
Technologies
- SQL
- SAS
- Microsoft Office Suite
- ePrint
- Microsoft SQL Server
- Oracle SQL Developer
- SAS Enterprise Miner
Campus
OSU-Stillwater
Contact
Name: Larry Burns
Email: larry.burns@okstate.edu
Work Schedule
Monday through Friday, 8:00 am to 5:00 pm, with occasional evenings and weekends.
Appointment Length
Regular, continuous until further notice.
Hiring Range
USD 47,000 to 69,000 per year
Special Instructions to Applicants
- OSU will not sponsor applicants for work visas for this position.
- Please submit a resume and a list of references.
About This Position
The Data Analyst is essential for supporting institutional decision making by analyzing budget, finance, and human resources data across the OSU System. The role involves developing data extraction programs, producing analytical reports, and applying statistical and mathematical models to inform leadership decisions. Collaboration with OSU administrators, faculty, and external agencies is key to delivering timely and accurate institutional data. The position also supports the creation and maintenance of ePrint and other campus reports for colleges and offices, while researching models to meet management objectives and recommending improvements to data extraction workflows.
Required Qualifications
- Bachelor's degree in Business, Mathematics, Computer Science, MIS, Statistics, Education, or a related technology field (degree must be conferred by start date).
- Two years of experience in analytics, statistical or mathematical modeling, or SQL programming.
- Proficiency in SQL or SAS for data extraction and analysis.
- Working knowledge of Microsoft Office Suite (Word, Excel, Access, PowerPoint, Outlook).
- Excellent oral and written communication skills.
- Ability to build constructive relationships and collaborate effectively with diverse stakeholders.
- Strong organizational skills: ability to manage multiple projects, work under pressure, meet deadlines, and prioritize appropriately.
- Self motivated, conscientious, and detailed.
Preferred Qualifications
- Master's degree in Business, Mathematics, Computer Science, MIS, Statistics, Education, or a related technology field.
- Experience with Microsoft SQL Server or Oracle SQL Developer.
- SAS Certified Base Programmer.
- SAS Certified Predictive Modeler using SAS Enterprise Miner 14.
- SAS Certified Platform Administrator.
