Senior Data Analyst - AI, Dashboards & Geospatial Insights

Ministry of Manpower; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

Ministry of Manpower invites a Senior Data Analyst / Data Analyst to strengthen ACE Group's operational readiness through data integration and analytics. You will collaborate on data analytics and AI projects, including dashboards, ML models, and AI-assisted tools, ensuring timely insights for decision-makers.

Key tasks involve stakeholder engagement, data extraction and cleaning, and developing predictive models with ML techniques, RPA, and geospatial analysis while maintaining data governance

Qualifications

• Tertiary education, preferably with a statistical or analytics background.
• Proficiency in SQL, R, Python or other programming languages.
• Proficiency in applying statistical methods and/or machine learning techniques to real-world datasets.
• Proficiency in data visualization tools such as Tableau and data storytelling.

Responsibilities

• Engage stakeholders to understand business challenges, scope use cases, and translate them into data analytics and AI projects.
• Extract, clean, pre-process, and analyse large datasets to identify trends and insights.
• Build and maintain dashboards and analytical models; present findings to stakeholders.
• ML projects including clustering techniques and translating into predictive models.
• Communicate data insights and business impact through clear narratives and visuals.
• Work on RPA, geospatial analysis, and data governance areas.
• Review systems to ensure data is captured and perform UAT on enhancements.
• Participate in MOM's data analytics and AI capability development.

Skills

SQL

Python

R

Tableau

Data visualization

ML

RPA

Geospatial analysis

Communication

Statistical methods

Education

Tertiary education in statistics or analytics

Tools

RPA tools

Geospatial tools

Job description

Ministry of Manpower invites a Senior Data Analyst / Data Analyst to strengthen ACE Group's operational readiness through data integration and analytics. You will collaborate on data analytics and AI projects, including dashboards, ML models, and AI-assisted tools, ensuring timely insights for decision-makers.

Key tasks involve stakeholder engagement, data extraction and cleaning, and developing predictive models with ML techniques, RPA, and geospatial analysis while maintaining data governance