Job Listings

Data Analyst and Project Coordinator

Company:
Oberlin College & Conservatory
Job Location:
Oberlin, Ohio
Category:
Institutional Research and Planning
This is an exciting time to join the reimagined Center for Student Success at Oberlin College and Conservatory. The Data Analyst and Project Coordinator position is a full-time, 12-month, staff position in the Division of Student Affairs. Reporting to the Dean of Student Success, this position will play a pivotal role in the advancement of the reimagined Center for Student Success and institutional retention efforts by providing professional data analysis; reporting and interpretation; data visualization; and project management. This role will deliver concise, empirically precise, and compelling work to generate, use, and interpret data for effective decision-making and planning in the Center for Student Success. Additionally, this position will use strategic thinking to determine the effective use of the institution’s student success/retention management system.

The Data Analyst and Project Coordinator bring the analytical skills needed to partner on a range of high-impact initiatives for the Center for Student Success, including data analysis, write-up, and interpretation; strategic planning; process design; and project management. They are data-driven, able to manage ambiguity with comfort, and eager to support leadership on a variety of projects that will be critical to the success of the Center for Student Success.

Essential Job Functions
  •  Drive operational excellence in the analysis, reporting, and interpretation of data and information. Drive innovation in the use of research in strategic planning and decision-making in higher education.
  • Collect, utilize, interpret, and analyze data and information for the development and execution of strategic initiatives, project management, and communication. Place analyses in the context of findings in fields of higher education research and education finance, more broadly. Evaluate the quality and reliability of data and information.
  • Track and maintain the institution, department, and program data, metrics, and outcomes and assess impact to ensure achievement of goals.
  • Mine data from primary and secondary sources and reorganize it in a format that can be easily read and understood by a wide variety of users and audiences.
  • Prepare reports, presentations, written documents, and other materials for executive leadership that effectively and aesthetically communicate results/findings, trends, patterns, and predictions using relevant data and research.
  • Conduct market research and focus group analyses to supplement quantitative analyses.
  • Test, evaluate and implement new or upgraded retention software; assist with training office users on tools.
  • Foster collaboration between team members, both internal and external to the office.
  • Support, coordinate or manage strategic initiatives and projects for the Center for Student Success to ensure successful outcomes.
  • Help develop and support existing projects and change management processes.
  • Provide professional and technical support or management in the execution of day-to-day project activities and special projects, as assigned.
  • Other duties as assigned 
Required qualifications:
  • Master’s degree from an accredited institution of higher education.
  • At least 2 years of directly comparable experience.
  • Experience with student success/retention management platforms and predictive analytics (e.g., EAB Navigate, Starfish, Ruffalo Noel Levitz (RNL), Othot, Anthology etc.
  • Ability to generate and present data insights using statistical software and data visualization tools (e.g., Tableau or similar).
  • Advanced skills in Microsoft PowerPoint.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate varying amounts of information with accuracy and attention to detail.
  • Experience working with quantitative information and data.
  • Experience with quantitative data analysis software and business intelligence tools (e.g., Excel, Oracle, Tableau).
  • Ability to access, store, clean, manipulate, transform, and merge datasets.
  • The ability to do descriptive and predictive statistical analysis.
  • The ability to understand and translate quantitative data for a wide variety of audiences.
  • Experience providing data support, training, and presentation to a variety of internal and external audiences.
  • Exceptional interpersonal skills with the ability to interact with individuals across the university and externally.
  • Superior verbal and written communication skills.
  • Excellent problem-solving skills.
  • Demonstrated ability to handle high-level sensitive and confidential information.
  • Excellent organizational and planning skills.
  • Strong time-management skills and ability to multitask and meet deadlines.
  • Demonstrated experience managing projects through to completion.
  • Demonstrated ability to work with a diverse constituency, excellent written and verbal. communication skills.
  • Ability to work cooperatively and strategically in a team environment, writing experience.
  • Ability to prioritize diverse tasks and meet deadlines and results oriented.
  • Excellent interpersonal and problem-solving skills, a collaborative disposition, and the ability to think both critically and strategically.
  • Excellent written, verbal, organizational, and time-management skills.
  • Excel at working in a community that is diverse with regard to race, ethnicity, socioeconomic status, gender, gender identity, nationality, sexual orientation, and religion.Ability to maintain organizational structure and cohesion in a changing environment.
  • Exhibits initiative, responsibility, flexibility, and leadership.
A generous compensation package will be offered to the successful candidate, including an excellent benefits package.

All interested applicants should apply on the Oberlin job portal;

https://jobs.oberlin.edu/postings/12512

Review of applicants will begin immediately and continue until filled. 

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