Institutional Research Data Analyst

The New School was founded by forward-thinking educators in 1919 to defy the intellectual constraints of a traditional college education. Building on this rich history, and as the only university with a renowned design school and premier colleges focusing on the performing and liberal arts and social sciences, The New School is committed to developing students who will have an impact on the world and boldly address the most pressing social issues of our time. The Office of Institutional Research and Decision Support (IRDS) supports the entire university in assessing institutional progress toward achieving our goals and sharing this within and outside the university through a variety of methods, including data visualizations, reports, digests, and participation in survey and external data collection efforts. 

Reporting to the Assistant Provost of Institutional Research & Decision Support, and supporting the work of the entire IRDS team as directed, successful institutional research data analysts will be energetic and committed to communicating information grounded in quality data analysis to a wide audience in the language they understand - be that visual representations in Tableau, Excel pivot tables, or models with user input. They will be comfortable pulling data together seamlessly from multiple sources and providing systematic reporting and communication, eventually from all areas of the university ecosystem (including student, faculty and staff, financial, quantitative/qualitative survey results, and assessment). Experience working in a fast-paced environment and being flexible to changing priorities are required. The ideal candidate is a self-starting, resourceful, data scientist with analytical skills, attention to detail, problem-solving, decision-making, and project management abilities, and most importantly curiosity. 

The New School is committed to creating and maintaining an environment that upholds and advances diversity and inclusion across all areas of employment, education, and access to its educational, artistic, and cultural programs and activities. We strongly encourage applications from individuals who share our commitment to fostering a diverse, inclusive, and equitable community.

RESPONSIBILITIES
 

Institutional Research Data Analysts will have an area of focus, but this will rotate over time to ensure continuity in support of institutional reporting. Under the broad direction of senior leadership in IRDS, data analysts are responsible for managing and refining data collection processes, cleaning local databases and communicating with the owners of enterprise databases to facilitate data cleaning, and ensuring reporting meets the needs of the University community. To do this, the Data Analyst will:

• Create, maintain, and modify data collection efforts to provide timely and accurate data for state and federal reporting required to maintain accreditation and Title IV eligibility;

• Design and build institution-level data dashboards that clearly display metrics and key takeaways for campus leadership - where appropriate with the ability to drill down to college, school, department, or program levels;

• Develop and revise queries and reports utilizing campus tools (for example, but not limited to, Oracle SQL, Tableau, Workday Reporting, Google Suite) to meet information needs for the Provost’s Office to address ongoing and ad hoc reporting requests;

• Support the planning and design of surveys, and analysis of quantitative and qualitative survey data.

• Pro-actively cultivate positive inter-office relationships across the university (not just the Provost’s Office) with data stewards in such areas to permit seamless collaborative efforts;

• Perform data analysis and modeling that require an advanced skill set (statistics, mathematics, data science, cross-systems data blending, or modeling that requires deep institutional knowledge);

• Pursue opportunities to enhance expertise in the intersection of data sciences, institutional research, higher education, analytics, and information technology to keep skills/expertise current;

• Special projects and other related duties as assigned.

MINIMUM QUALIFICATIONS

• Bachelor’s degree in data science/analytics, mathematics, statistics, social sciences, marketing, or a related quantitative field. Bachelor’s degree in another field with additional training and/or experience in a quantitative field is also acceptable.

• Experience in a position working with data;

• Proven experience with at least one of: Oracle SQL, Tableau, Workday or Banner, Statistical Packages (R, SPSS, SAS), project management, and the desire to learn about the others;

• Proven sophisticated Microsoft Excel skills and experience with Google Suite;

• Willingness to accept revisions, iterate, and update projects as needed.

• Demonstrated experience in management of projects involving multiple participants or of durations of at least 6 months

• Ability to work independently and multi-task effectively;

• Excellent verbal, written, and data visualization communication skills.

PREFERRED QUALIFICATIONS

• Three years’ experience in a position working with data in higher education, in an office such as institutional research, information technology, finance, registrar’s office;

• Proven experience with more than one of: Oracle SQL, Tableau, Workday or Banner, Statistical Packages (R, SPSS, SAS), Canva, project management, advanced statistics, marketing analysis, and/or data analytics.

• Demonstrate experience of management of large and complex projects or earned qualification in project management.

WORK MODE

• Hybrid - Employees hired for this position primarily work remotely with the occasional on-campus presence required with advanced notice. Employees in this role will also be expected to use their best judgment to be on campus when necessary in order to best fulfill the responsibilities of their job descriptions. #LI-HYBRID

SALARY RANGE

• $64,350 - $68,000 per annum

SPECIAL INSTRUCTIONS TO APPLICANTS

• When uploading a cover letter, please ensure it indicates how your skills and experience fit the position described.

• Finalists will be required to complete a simple data project, to be provided after the interview.

We look forward to receiving your application!