Specialist, Career Development

About the role

The Student Success Centre (SSC) of Singapore University of Social Sciences (SUSS) is looking for an experienced data analytics, institutional research or programme evaluation professional to join its Career Development team. The role provides analytical leadership in outcomes intelligence, educational analytics and programme evaluation, helping Career Development measure effectiveness, understand student and graduate outcomes and use evidence to inform strategy.

Key responsibilities

• Lead the planning, design and continuous improvement of evidence-informed frameworks, evaluation methodologies and performance measures for Career Development initiatives.
• Develop performance frameworks, analytical dashboards and outcome measures on student engagement, programme effectiveness and graduate employability.
• Analyse student, programme, graduate and labour market data through cohort, segmentation and longitudinal analysis to identify trends and priorities.
• Evaluate programme effectiveness using quantitative and qualitative methods, and conduct applied research, environmental scanning and benchmarking.
• Work with Career Development teams, academic schools and internal stakeholders to turn findings into recommendations and interventions.
• Represent Career Development on university committees and cross-functional initiatives, and share findings and good practices.
• Handle administrative and operational tasks such as projects, reporting and stakeholder engagement.

Required profile

• University degree, preferably with a postgraduate qualification in Business Analytics, Data Science, Statistics, Economics, Education or Social Sciences, or a related field.
• At least 8-10 years of experience in data analytics, institutional research, business intelligence, programme evaluation, educational analytics or outcome measurement.
• Experience with large quantitative datasets and with graduate employability and workforce trends.
• Experience working with multidisciplinary stakeholders; applied research or evaluation experience is advantageous.

Required skills

• Quantitative analysis, critical thinking and problem solving.
• Business intelligence, data visualisation and statistical analysis tools such as Power BI, Tableau, SPSS, R or Python.
• Survey design, impact evaluation or educational research experience is advantageous.

What we offer

• Competitive pay package.
• Hybrid work arrangement (subject to job role).
• Medical benefits, flex benefits and family care leaves.
• Lifelong learning and career development opportunities through internal postings and transfers.