Principal/Senior Manager (Data Analyst), Compliance Strategy & Analytics, WPD

Ministry of Manpower; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

The Ministry of Manpower (MOM) in Singapore is seeking a Principal Manager/Senior Manager/Manager in the Compliance Strategy and Analytics team. This role involves the use of data analytics to detect and deter work pass fraud, ensuring the integrity of the work pass framework.

The ideal candidate will have relevant experience in data analysis and visualization tools such as Excel, Python, R, Tableau, and Power BI. Communication skills and a problem-solving mindset are essential for this position.

Qualifications

• Relevant experience in data analysis and visualisation.
• Strong analytical and problem-solving skills.
• Good verbal and written communication skills.
• Team player with a customer-focused mindset.
• Ability to work independently and adapt to changes.

Responsibilities

• Leverage data analytics and design thinking tools for fraud detection.
• Propose measures to address gaps in policies and processes.
• Develop data visualisation products like dashboards and reports.
• Work with stakeholders to identify feasible analytics solutions.

Skills

Data analysis

Data visualisation

Excel

Python

R

Tableau

Power BI

Problem-solving skills

Communication skills

Team player

Job description

What the role is:

At the Ministry of Manpower (MOM), we strive to build a Great Workforce and a Great Workplace. We work to achieve a globally competitive workforce and great workplace, for a cohesive society and a secure economic future for all Singaporeans. Our work transcends the boundaries of our desks – it takes us to real workplaces all over Singapore. We are continually on the lookout for individuals who want to make a difference and impact lives in the core areas of our work. As a Principal Manager/Senior Manager/Manager in the Compliance Strategy and Analytics team, you will work on a wide-ranging data set to develop and implement strategies and programmes to detect and deter work pass fraud so as to safeguard the integrity of the work pass framework.

What you will be working on:

• Leverage appropriate data analytics, design thinking and behavioural insights tools to understand and identify fraudulent manpower practices, emerging risks and vulnerabilities in the work pass framework to ensure policy and business outcomes are effectively met
• Propose and implement agile and robust measures to address identified gaps and risks to ensure continued relevancy and effectiveness of policies and processes
• Develop data visualisation products, such as customised dashboards and reports that serve varying needs of multiple end-users
• Work with stakeholders and partners to frame and identify feasible data analytics solutions, apply specific analytics solutions, and deploy for implementation, with a view to continuously review and enhance prevailing controls and checks

What we are looking for:

• Possess relevant experience in data analysis and visualisation, preferably in excel, Python, R, Macros, Tableau, Power BI
• Possess strong analytical and problem-solving skills
• Have good verbal and written communication skills
• Good team player with a customer-focused mindset
• Be able to work independently and adapt to complex changes
• PWDs are welcome to apply