Research Data Specialist
Job Summary
The Office for Research and Economic Development (ORED) at the University of Mississippi is seeking an experienced data and systems professional to support a growing research enterprise. This position will design, develop, and maintain data solutions that improve institutional decision-making and strengthen research administration.
Job Description
- Data Engineering: Develop Extract-Transform-Load (ETL) scripts to extract data or clean data, automate tasks, supports business processes
- Liaise with vendors and central IT professionals to identify, propose, develop, and test integrations across enterprise systems
- Develop data dashboards and reports for ORED leaders and campus research stakeholders
- Communicate with research administration subject matter experts to define business needs and propose data-driven solutions
- Interact with technical experts to identify and implement cross-system integrations (e.g., moving data from Cayuse to Workday and vice versa)
- Collaborate across institutional units to leverage data resources and subject matter expertise in support of analytical and reporting needs
- Use data extraction tools (SQL/NoSQL/Python) to develop queries to answer research and analysis questions
- Develop and implement data solutions and analyses to help leaders and stakeholders understand, comply with, and thrive under the large, evolving, and complex federal rules and regulations related to grants and contracts.
Education Qualifications
- Bachelor's (Required)
Experience
- Relevant experience | 6 Years | Required
Compensation
$75,545.60 - $113,318.40
Interview Requirement
Any candidate who is called for an interview must notify the Department of Equal Opportunity/Regulatory Compliance in writing of any reasonable accommodation needed prior to the date of the interview.
EEO Statement
The University of Mississippi provides equal opportunity in any employment practice, education program, or education activity to all qualified persons. The University complies with all applicable laws regarding equal opportunity and does not unlawfully discriminate against any employee or applicant for employment based upon race, color, gender, sex, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ethnicity, citizenship, age, disability, military status, protected veteran status, genetic information, or any other legally protected status.