Career Outcomes Data Analyst, Institutional Research & Assessment

Suffolk University is a private, urban university located in the heart of downtown Boston. Our college green is the Boston Common and we are steps from dozens of historic sites including the Old State House, Faneuil Hall, City Hall and the Massachusetts State House. We have no real boundaries to our campus—Boston and Suffolk blend together.

Suffolk has been committed to creating an exceptional learning experience since 1906. Our vision is to be recognized as a dynamic institution that fosters engaged learning, rigorous scholarship, innovative thinking, and community collaboration across disciplines. We will ensure that Suffolk graduates are versatile and prepared for modern society and the new world market. We will provide rich curricula, experiential learning opportunities and professional mentoring through increased collaboration with alumni and community partners. We will recruit, mentor, and support a diverse faculty of teacher-scholars who are passionately committed to preparing our students to be leaders in the global community. We will inspire investment in a Suffolk community that is built on ethical, forward-thinking leadership, teamwork, and cooperation.

We compete for the best talent. We are an equal opportunity employer committed to a diverse community. We are actively seeking applicants from groups that might be under-represented because of race/color, gender, religion, real or perceived disability, national origin or LGBTQ status. As part of our commitment we encourage you to complete the demographic portion of the application in addition to submitting your cover letter and resume/CV as it will assist us in targeting our recruitment efforts.

Please note that Suffolk University conducts background checks as a condition of employment.

We are also committed to the well-being of our employees. Our terrific benefits package for benefits-eligible positions include, but are not limited to:
  • Generous paid time-off programs and commitment to work-life balance
  • Tuition free course benefits in the College of Arts and Sciences and in the Sawyer Business School for employees with additional tuition benefits for spouses, domestic partners, and children
  • Top-notch well-being care available through Harvard Pilgrim Medical/Delta Dental and a Flexible Spending Account
  • Pre-tax commuter benefit
  • Employee Assistance Program that provides employees and their family members with initial assessment, referrals and short-term counseling for personal and work challenges
  • Discounted home and auto insurance

  • Description

    The Career Outcomes Data Analyst will sit within the Office of Institutional Research and Assessment (OIRA) and work closely with the Center for Career Education and Professional Development (CEPD). This individual will design and implement data collection tools to assess the effectiveness of career education programming, student and alumni development in career competencies, career placement, and outcomes data, and other relevant metrics. The Data Analyst will support the CEPD team in analyzing collected data, communicating it effectively to relevant stakeholders, and strategizing the next steps for closing gaps between outcomes measured and previously defined goals. As a member of the OIRA team, the Data Analyst will be asked to support other university-wide initiatives, especially as they relate to career outcomes data, and will be asked to think creatively about how other data collection initiatives institution might support or augment ongoing CEPD data efforts.

    Primary/Principal Responsibilities:





    45%



    Career Outcomes Assessment

    · Develop, administer, and analyze assessments around the eight NACE competencies that can be administered for Career Center programming and initiatives and in the classroom curricula to assess longitudinal growth as a factor of engagement in key interventions

    · In collaboration with Director of Career Center Operations, spearhead the effort for an industry-leading outcomes analysis, incorporating traditional measures of the first-destination survey with rich, longitudinal data across alumni careers

    · In partnership with the Assc Dir. of Career Equity and Access, identify ways to differentiate collected data across all dimensions (programmatic engagement, career and competency outcomes, etc.) to identify equity gaps for students of color, first-generation students, international students, and other underrepresented populations.

    · Assess existing information sources and create a strategic data collection plan in alignment with university and Center goals



    30%



    CEPD Programmatic Assessment

    · Design and conduct assessments of short- and long-term Career Center programming initiatives

    · Identify mechanisms for collecting data from credit-bearing and non-credit-bearing internship experiences across the institution in a way that provides insights about numbers of internships in various majors and industry sectors, students’ growth in career competencies as a result of participating in internships, and future job placement outcomes as a factor of internship experience

    · Create dashboards for each of the career communities outlining their effectiveness at reaching pre-determined KPIs

    · Provide semesterly reports/dashboards to Center Directors and Associate Provost to indicate progress toward previously-identified metrics/KPIs



    25%



    Broader OIRA Assessment and Analyses

    · Connect CEPD data collection and assessment projects with other university-wide data initiatives

    · Coordinate internal and external reporting related to CEPD data and related factors

    · Collaborating with the OIRA team on other institutional/external requests and responsibilities



    Requirements/Qualifications:

    • Master’s preferred, Bachelor's required; preferred focus in information technology, computer science, data science, mathematics, statistics, or a related quantitative field
    • Experience applying quantitative research methodology and interpreting multivariate statistics.
    • Proficient in Access, Excel, Tableau, SAS, R, Python, SQL, Qualtrics, NVIVO, and other data tools
    • Experience collecting and/or using qualitative data (ex. surveys, focus groups, interviews)
    • Ability to clearly and concisely present and explain detailed information, complex concepts, and models to persons at multiple levels of an organization.
    • Knowledge of the policies, curricula, and academic structure of the College. Knowledge of the general format, content, and use of college schedules and course catalogs. Knowledge and expertise with FERPA.
    • Strong interpersonal and communication skills and the ability to work effectively with a wide range of constituencies in a diverse community both orally and in writing.
    • Ability to maintain the confidentiality of records and information.


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