Institutional Data Analyst

Location, Job Title, Benefits

Rocky Vista University in Ivins, UT has an opening for an

Institutional Data Analyst (Full-Time)

To be considered for this position applicants should submit a resume/cover letter and salary requirements on our Careers page .edu.

$23.25 - $27.50 per hour. The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to skill, knowledge, experience, education, and credentials.

RVU offers a full benefits package that includes Health, Dental and Vision insurance, along with 2 weeks (minimum) accrued paid vacation days per year, 12 accrued sick days per year, personal days, 13½ paid holidays and 401(K) match up to 7% based on employee’s contribution. The incumbent may work up to one day per week remotely with supervisor approval as the needs of the University and its stakeholders permit.

We are Rocky Vista University (RVU), a diverse, equitable, and inclusive healthcare education university that recognizes, values, and respects the commonalities and differences reflected in our students, staff, faculty, and alumni. We strive to be compassionate healthcare educators and practitioners who embrace and champion inclusive excellence.

RVU is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Rocky Vista University seeks a highly collaborative professional with a profound curiosity about data to serve as a key technical leader in managing the office's institutional data environment. This professional will fill an important role in helping the institution realize its commitment to data-informed decision making. As a statistician, survey design expert, and data steward, this professional will collaborate strategically and collegially with business partners across the institution to contribute to RVU's culture of data-informed continuous improvement.

Reporting to the Manager of IRR, the incumbent will follow clear processes and timelines for institutional research and data governance including data collection, cleaning, transformation, analysis, and reporting. A values-oriented professional with strong interpersonal skills, the Institutional Data Analyst will work with departments and programs to extract and report data for various purposes and constituents, both internal and external.

NOTE:

This is not a remote position. The Institutional Data Analyst may work up to one day per week remotely as the needs of the University and its stakeholders permit.

• Provide expertise regarding survey design, sampling, deployment, data collection, analysis, interpretation, and reporting.
• Conduct and accurately interpret higher-level statical analyses (such as multivariate analyses, predictive modeling, etc.) using SPSS or similar software to ensure accurate understanding of institutional data.
• Fulfill data requests from colleagues across the institution, collaborating and communicating to ensure that the finished product meets the needs of the requesting party.
• Contribute to institutional accreditation, state, and federal reporting requirements.
• Write and troubleshoot ad hoc SQL queries to fulfill data requests; update and maintain existing queries to ensure accuracy.
• Develop, collect, and distribute a wide variety of qualitative and quantitative institutional data to inform and support the ongoing planning processes of the University.
• In collaboration with IT business partners, contribute to a sustainable data governance strategy to ensure consistent and accurate report functions.
• Assist with management of the IRR ticket system to ensure project prioritization in alignment with RVU’s mission and goals.
• Provide support for strategic planning, institutional accreditation, and institutional assessment and evaluation processes as requested.
• Assist faculty and staff in identifying appropriate data collection methods, policies, and procedures to…