Specialist, Career Development

Singapore University of Social Sciences (SUSS)

Singapore

Hybrid

SGD 120,000 - 180,000

Full time

33 hours ago
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Benefits offered by this job

Hybrid work arrangement
Medical benefits
Flexible benefits
Family care leaves
Volunteer service leaves
Wellness & recreation activities
Career development through internalop

Job summary

Singapore University of Social Sciences (SUSS) invites an experienced data analytics, institutional research or programme evaluation professional to join our Career Development team. You will lead outcomes intelligence, develop dashboards, and translate data into actionable insights to strengthen student employability and graduate outcomes.

Collaborating with academic schools and data stakeholders, you will apply quantitative and qualitative methods, conduct research and benchmarking, and

Qualifications

  • Degree with strong quantitative training; postgraduate qualification preferred in analtyics or related field.

Responsibilities

  • Lead development of evidence-informed frameworks and performance measures for Career Development.

Skills

Quantitative analysis
Communication & stakeholder engagement
Strategic thinking
Project management
Collaboration and teamwork
Analytical problem solving
Adaptability

Education

Postgraduate qualification in Business Analytics/Data Science/Statistics/Economics/Education/Social Sciences

Tools

Power BI
Tableau
SPSS
R
Python

Job description

SUSS Named One of Singapore’s Best Employers 2026. Join Us to Make an Impact.

Who We Are

As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.

We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers.

Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society.

For more information on Singapore University of Social Sciences, please visit www.suss.edu.sg

About The Job

The Student Success Centre (SSC) invites an experienced data analytics, institutional research or programme evaluation professional to join our Career Development team in advancing evidence-informed practices that strengthen student employability and career success.

In this role, you will provide analytical leadership in outcomes intelligence, educational analytics and programme evaluation, strengthening how Career Development measures effectiveness, understands student and graduate outcomes, and uses evidence to inform strategy and decision-making.

You will work closely with Career Development teams, academic schools and internal data stakeholders to analyse and integrate student, programme, graduate employment and labour market data, develop robust measures of programme and employability outcomes, and translate complex quantitative and qualitative evidence into actionable insights.

Through analytical modelling, outcome evaluation, longitudinal and cohort analysis, applied research and strategic analysis, you will contribute to the continuous enhancement of Career Development programmes, student success and graduate employability.

Job Description
  • Lead the planning, design and continuous enhancement of evidence-informed frameworks, evaluation methodologies and performance measures to strengthen Career Development (CD) initiatives and student employability outcomes.
  • Develop performance frameworks, analytical dashboards and outcome measures that provide strategic insights into student engagement, programme effectiveness and graduate employability, supporting management reporting and evidence-informed decision-making.
  • Generate actionable insights from student, programme, graduate and labour market data through cohort, segmentation and longitudinal analyses to identify trends, opportunities and priorities for CD strategies and targeted interventions.
  • Apply quantitative and qualitative methods to evaluate programme effectiveness, employability outcomes and relationships between student experiences, participation in CD initiatives and subsequent outcomes.
  • Conduct applied research, environmental scanning and benchmarking on graduate employability, career development, workforce trends and higher education practices, translating findings into recommendations for programme innovation and strategic initiatives.
  • Collaborate with CD teams, academic schools and internal stakeholders to translate analytical findings into recommendations and interventions that improve student success and graduate employability.
  • Contribute to applied research and knowledge development in educational analytics, student success and graduate employability, and share relevant findings, methodologies and good practices.
  • Represent CD on University committees and cross-functional initiatives relating to institutional research, student development and graduate employability, providing analytical perspectives and subject-matter input.
  • Undertake administrative and operational responsibilities, including projects, reporting and stakeholder engagements, to support the effective delivery and continuous enhancement of CD initiatives.
Job Requirements
Candidates Should Have
  • A good university degree, preferably with a postgraduate qualification in Business Analytics, Data Science, Statistics, Economics, Education, Social Sciences with strong quantitative training, or a related discipline.
  • At least 8-10 years of relevant experience in data analytics, institutional research, business intelligence, programme evaluation, educational analytics, outcome measurement or related fields.
  • Strong experience analysing large or complex quantitative datasets and identifying meaningful patterns, relationships and differences across populations, cohorts or programmes.
  • Good understanding of graduate employability and workforce trends, with experience integrating and interpreting data from multiple sources, including surveys, administrative data, student records, programme participation and employment outcomes.
  • Proven ability to synthesise quantitative and qualitative information into meaningful insights and strategic recommendations for different stakeholder audiences.
  • Experience working with multidisciplinary stakeholders on programme evaluation, service improvement or organisational decision-making.
  • Experience in applied research, evaluation studies, educational research or evidence-informed practice improvement would be advantageous.
Core Competencies
  • Excellent quantitative analysis, critical thinking and problem-solving skills.
  • Strong communication, presentation and stakeholder engagement skills, with the ability to translate complex information into clear and actionable insights.
  • Strategic thinking and ability to connect data, policy and practice to support programme and organisational development.
  • Strong planning, organisational and project management skills.
  • Intellectual curiosity, adaptability and a collaborative mindset, with a passion for improving student success through evidence-informed practice.
Other Requirements
  • Proficiency in business intelligence, data visualisation and statistical analysis tools such as Power BI, Tableau, SPSS, R or Python.
  • Experience in survey design, impact evaluation or educational research would be advantageous.
  • Willingness to undertake overseas travel for benchmarking, professional engagements and relevant institutional activities.
What We Offer

At SUSS, we advocate the Spirit of Learning and pride ourselves as lifelong learners. You will gain access to various learning platforms and plenty of development opportunities to support your growth in a meaningful career!

Besides That, You Will Also Get
  • Competitive Pay Package
  • Hybrid Work Arrangement (Subject to Job Role)
  • Medical Benefits
  • Flex Benefits
  • Family Care Leaves
  • Volunteer Service Leaves
  • Wellness & Recreation Activities
  • Lifelong Learning Opportunities
  • Career Development Opportunities through Internal Job Postings and Transfers
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