UConn Careers

Research Data Analytics Specialist

Apply now Search #: 493799
Work type: Full-time
Location: Storrs Campus
Categories: Research

The Office of the Vice President for Research invites applications for the role of Research Data Analytics Specialist.  Under the direction of the Vice President for Research, the Research Data Analytics Specialist will proactively identify, develop, and effectively communicate research and analytical results to senior administrators to facilitate finding creative solutions for medium- to long-term considerations facing the University, which can be influenced or impacted by the conduct of research.

Drawing on professional expertise, utilizing available systems and data and leveraging other systems and processes as appropriate, the Research Data Analytics Specialist will perform in-depth analysis, such as ROI, cost/risk analysis, examining trends, developing projections, and conceptualizing, framing, and presenting the results in a timely manner in a variety of concise, professional formats, for end-presentation to high-level internal and external stakeholders, for the purpose of critical decision-making.


  1. Applying exploratory and predictive analytical techniques (clustering analysis, sequence detection, and neural networks, etc.) to understand trends and patterns in proposals, awards, expenditures, faculty success rates, and external funding sources.
  2. Developing sensitivity analysis (what if analysis) and scenario analysis models to understand the impact of sponsored activity changes on university budget and finance, space allocation, and academic competitiveness.
  3. Delivering final analysis to senior administration and related parties, exercising discretion in the selection of content, communication medium, and presentation.
  4. Serving as a resource to senior administration on institution-wide reports and analyses.
  5. Participating in the development of sponsored program benchmarks and standard metrics.
  6. Identifying and developing research studies to understand the impact of emerging issues in research administration at the University of Connecticut.
  7. Participating as a key member of OVPR data and analytics team, and may lead efforts to identify data analytics software tools to be used to create dashboards and other data visualizations of sponsored program data.
  8. Working collaboratively with technical and non-technical stakeholders.
  9. Staying abreast of current/emerging issues in higher education research administration and proactive consideration of data analytics implications.
  10. Serves on various University committees as needed or required.
  11. Perform other related duties as assigned.


  1. Master’s degree in a quantitative discipline, such as Business Administration, Public Policy, Statistics, Educational Research, or other related/relevant discipline.
  2. Five years of professional experience which includes analysis and validation of large datasets.
  3. Knowledge of programming in SQL.
  4. Experience with applied statistical analysis, such as clustering analysis, sequence detection, and neural networks, and research design methodologies.
  5. Evidence of independent and creative thinking used to solve business problems.
  6. Intermediate to advanced Excel skills.
  7. Excellent organizational skills to effectively multi-task to meet deadlines and troubleshoot problems.
  8. Ability to exercise a high level of discretion.
  9. Established interpersonal skills that promote building strong working relationships, with demonstrated ability to interact with colleagues in a positive and constructive manner.
  10. Demonstrated ability to work effectively and collaboratively with administrators, faculty members and others in a diverse work environment.
  11. Excellent verbal and written communication skills.


  1. Experience working with data in higher education, research administration or institutional research.
  2. Experience working in a grant administration office at a major research university.
  3. Knowledge of InfoEd, Kuali Financial System (KFS) and/or other electronic grant management or financial record system(s).
  4. Knowledge of business intelligence and reporting tools such as Tableau, WebFOCUS, PowerBI, or OBIEE.
  5. Knowledge of social media analytics and big data.


This is a 35-hour per week, full-time, 12-month permanent position, with an excellent benefits package including medical and retirement, as well as employee and dependent tuition reimbursement at the University of Connecticut (outlined here:  https://hr.uconn.edu/benefits-summaries/). 


Applicants must apply online at www.jobs.uconn.edu, Staff Positions, Search #493799 and include a cover letter and resume demonstrating how the qualifications and requirements of the position are met, and contact information for three professional references. Inquiries may be addressed to Laurie Pudlo, Administrative Manager, at laurie.pudlo@uconn.edu.

Employment of the successful candidate will be contingent upon the successful completion of a pre-employment criminal background check. 

This job posting is scheduled to be removed at 11:59 p.m. Eastern time on January 31, 2020.

All employees are subject to adherence to the State Code of Ethics, which may be found at http://www.ct.gov/ethics/site/default.asp.

The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.

Advertised: Eastern Standard Time
Applications close: Eastern Standard Time

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