Senior Research and Data Analyst
- Employer
- University of Oregon
- Location
- Oregon, United States
- Salary
- $60,802.00 - $78,025.00
- Posted
- Mar 24, 2021
- Position Type
- Administrative, Academic Affairs, Research Administration
- Employment Level
- Administrative
- Employment Type
- Full Time
Special Instructions to Applicants
In addition to a completed online application, including names and
contact information for three professional references, please
upload:
• A current CV/resume
• A cover letter summarizing your data analysis experience
Note: this position is based in Eugene, but remote working
arrangements may be considered.
Department Summary
The University of Oregon (UO), a member of the Association of
Pacific Rim Universities, is one of only two Pacific Northwest
members of the Association of American Universities and holds the
distinction of a “very high research activity” ranking in the
Carnegie Classification of Institutions of Higher Education. UO is
focused on supporting faculty excellence in teaching and research,
creating access for outstanding students, and enriching the student
experience. The Office of the Vice President for Research and
Innovation (OVPRI) holds administrative responsibility for numerous
high-profile research centers and institutes and core research
facilities. These units provide opportunities for faculty across
the University to collaborate on research efforts that are
inherently interdisciplinary, and of significant societal
importance. The VPRI oversees sponsored research, research
compliance, technology transfer, and research development, and
represents the UO in national organizations such as the AAU (Chief
Research Officers) and the APLU (Council of Research). The VPRI
also serves as an advocate and catalyst within the University for
expanding the range and impact of UO's research, scholarship, and
creative endeavors.
The University of Oregon has made considerable investments to
enhance research, including an increase in the number of tenure
track faculty, competitive startup packages, extensive laboratory
renovations, and a high-performance computing facility. The Phil
and Penny Knight Campus for Accelerating Scientific Impact was
launched by a $500M gift and is expanding UOs impact in biomedical
research and innovation. To further accelerate impact, the OVPRI
has developed a strategic plan focused specifically on actions to
increase externally sponsored research funding by vigorously
supporting faculty capacity to submit competitive proposals.
Position Summary
The Senior Research and Data Analyst (SRDA) is an integral member
of the Office of the Vice President for Research and Innovation
(OVPRI). Under the direction of the Associate Vice President for
Research Operations, the SRDA serves the OVPRI and research
community by conducting analyses to identify, understand, and
anticipate trends in research funding, research productivity, and
economic impact at the campus and national levels. The SRDA works
collaboratively with offices in the division and across the
university. The SRDA conducts financial and other data analyses
related to research, sponsored projects, innovation and
entrepreneurship, as well as develops and implements systems to
efficiently track and report sponsored project data and the
performance of our research administration and compliance
units.
The SRDA will proactively develop analyses that will help answer
critical questions facing UO in the area of sponsored projects,
research administration, innovation, economic development, research
excellence, and financial forecasting. The SRDA is responsible for
identifying appropriate methodologies, procedures, timelines, and
other campus partners necessary to complete projects in an accurate
and timely way. The position may analyze data, prepare reports, and
present findings not only for the purposes of OVPRI but also in
response to the needs of other UO offices as well as external
constituencies. This is not an academic research position.
Minimum Requirements
• Bachelor's degree and three years of experience
OR
• Master's degree and one year of experience
Work experience must include financial or data analysis and
reporting, and a demonstrated knowledge of business intelligence or
forecasting.
An equivalent combination of skills and experience may be
considered in lieu of either degree requirement.
Professional Competencies
• Demonstrated ability to conduct independent data analysis.
• Expertise with packages such as SAS, R, SPSS, or Python.
• Demonstrated project management skills.
• Ability to use and understand a variety of financial and other
data from different sources with an emphasis on data accuracy and
integrity.
• Ability to quickly learn new data sets and data management
systems.
• Demonstrated computer skills including knowledge and familiarity
with spreadsheets, programming languages, relational databases, and
SQL.
• Ability to work with large relational database systems and
perform complex data extractions.
• Strong oral and written communication skills.
• Ability to detect trends and develop forecasts.
• Ability to present results and prepare presentations of data
analyses in easily understood ways for diverse audiences using
tools like Tableau and Excel.
• Exceptional organizational, documentation and time management
skills and the ability to balance competing priorities from
multiple requesters.
• Ability to work alone as well as effectively and collaboratively
with a wide variety of university constituencies.
• Ability to work with sensitive information, often of a
confidential nature.
Preferred Qualifications
• Demonstrated experience in quantitative and qualitative analysis
of performance management, development of new tracking and
reporting systems, and/or research design to support public
administration in higher education.
• Detailed knowledge of higher education practices, including
methodologies for tracking performance in sponsored research and
research administration.
• Experience working with higher education data and
reporting.
• Detailed knowledge of state and/or national research datasets and
platforms such as NSF HERD survey, IRIS, federal research funding
agency databases, etc.
• Working knowledge of Banner and Cognos.
FLSA Exempt: Yes