HRIS Data Analyst, Office of Human Resources

Overview
HRIS Data Analyst, Office of Human Resources
— Singapore Management University. Join to apply for the HRIS Data Analyst role within the Office of Human Resources.
Responsibilities
Work with Centers of Excellence (COEs) and HR Business Partners (HRBPs) to deliver analytic observations, insights, and business recommendations that assess the effectiveness of HR policies, programs, and processes.
Gather, analyze, and interpret data related to workforce trends, recruitment, retention, performance management, and employee engagement.
Conduct in-depth analyses of HR data, including employee performance, recruitment, retention, and compensation data.
Develop and maintain data models to support workforce planning and talent management initiatives. Forecast HR trends such as turnover, employee engagement, and hiring needs. Create compelling stories and visualizations to effectively communicate HR insights to stakeholders, including HR leaders and executives.
Contribute to the development and implementation of HR strategies and policies by providing data-driven insights.
Propose and recommend data strategies, improvements, and processes to improve the quality of employee data collection and records.
Develop dashboards on university-wide or internal HR metrics, or concise reports/presentations to explain data and data trends to influence business decisions and support changes to policies, programs, or processes.
Champion data-driven decision-making within the team and among stakeholders; provide insights, expert advice, and approaches to senior management.
Provide training and support to users (e.g., HR end-users, administrators, management, line managers) to enable self-sufficient data reporting and analysis.
Collaborate across internal HR teams and IT to gather and document business requirements, analyze processes and data to identify technology improvement opportunities.
Support data collection for HR solutions (e.g., SAP H R ECC, SAP SuccessFactors modules including Employee Central), ensuring alignment with strategic objectives and roadmap to advance HR Data Analytics maturity. This may include other platforms such as Glint, Chronus, SharePoint, Content Management System, Microsoft Forms, and Power Automate.
Prepare user cases with business users for UAT and conduct UAT prior to signoff and deployment.
HR Technology Operations: maintain SAP SuccessFactors modules in the areas of data integrity, data governance and data audit; may include troubleshooting, permissions, and other HR platforms.
Provide ongoing support to HR staff and other users; act as a point of contact for resolving technical issues related to HR solutions.
Create and maintain functional documentation, user guides, and FAQs to support end-users.
Any other tasks as assigned.
Qualifications
Bachelor's degree, preferably in Business, Statistics, Human Resources, or related field.
Minimum 5 to 8 years of experience in HR analytics, measurement, analytics consulting, human capital research and/or benchmarking; extensive data analysis experience.
Proficiency in Python, R, SQL is desirable but not required.
Strong knowledge of HR metrics and expertise in HR data visualization tools like Tableau or Power BI; ability to translate complex data into actionable recommendations.
Excellent analytical skills; experience with statistical techniques and predictive modeling.
Excellent problem-solving and attention to detail.
Exceptional communication skills; ability to convey complex HR concepts to non-technical stakeholders.
Experience with SAP SuccessFactors or other HR systems and big data technologies is a plus.
Ability to manage multiple stakeholders and changing priorities in high-pressure situations; customer-focused approach.
Proven ability to mentor, champion change, and drive data-driven initiatives.
Experience with non-SAP platforms (e.g., Glint, Chronus, SharePoint, Microsoft Forms, Power Automate) is a plus.
Other Information
Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall be commensurate with qualifications and experience. SMU reserves the right to modify appointment terms where necessary.
Seniorities and Employment Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Other
Industries: Education
Note: This listing includes general job information and typical duties; it is not a contract or job offer. Referrals increase your chances of interviewing at Singapore Management University.
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