Asst Dir / Snr Exec (Data Analyst), Maintenance Enforcement Division (11 months)

Ministry of Law, Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

The Ministry of Law, Singapore is building its data and analytics capability. The Data Analyst will turn operational, programme and policy questions into clear, reliable insights that support decision-making across the division.

The officer will work with structured and unstructured data, develop dashboards and analytical products, support programme evaluation, and help MED team members use data more effectively. This role focuses on collecting, analysing and communicating data.

Qualifications

• Qualifications in data analytics, statistics, economics, mathematics, computer science, public policy, social sciences or a related discipline, with relevant experience in data analysis, business intelligence, programme evaluation or operations analytics.

Responsibilities

• Review, clean and document MED's datasets; develop data dictionaries and validation rules.
• Develop and enhance Tableau and Excel dashboards; present findings with recommendations.
• Conduct programme evaluation using MOF framework and prepare reports.
• Identify trends, patterns, anomalies and risks in MED operations; perform root-cause analyses.
• Apply text analytics to unstructured data to surface insights.
• Explore AI-enabled analytics with governance and oversight.
• Support stakeholder engagement and capability building for analytics.

Skills

Excel proficiency

Tableau

SQL

Python

R

NLP / text analytics

Data storytelling

Stakeholder engagement

Education

Data analytics / statistics / economics / mathematics / computer science / public policy / social sciences degree

Tools

Tableau

SQL

Python

NLP toolkits

Job description

What The Role Is

MED is building its data and analytics capability, and this role sits at the centre of that effort. The Data Analyst will turn MED's operational, programme and policy questions into clear, reliable insights that support decision-making across the division. The officer will work with structured and unstructured data, develop dashboards and analytical products, support programme evaluation, and help MED team members use data more effectively. This role focuses on collecting, analysing and communicating data — it is distinct from a Business Analyst role.

What You Will Be Working On

The officer should focus on areas 1 to 4, with areas 5 and 6 pursued where capacity allows. Area 7 applies across all areas.

1. Data quality and documentation — Review, clean and document MED's operational datasets. Develop data dictionaries, validation rules and methodology notes so the data is reliable and easy for others to maintain.
2. Management dashboards and reporting — Work with MED team members to improve existing Tableau and Excel dashboards, and develop additional dashboards and reports where needed. Present findings as concise narratives with clear recommendations.
3. Programme evaluation — Using MOF's programme evaluation template as the framework, work with MED’s data team to analyse whether the MEP is achieving its intended outcomes and prepare the required reports and submissions for management and stakeholders.
4. Operational and thematic analysis — Identify trends, patterns, anomalies and risks in MEP operations. Conduct root-cause analysis of complaints, feedback and case records, and write up findings as clear analytical briefs.
5. Unstructured data analysis — Apply text analytics or AI-assisted methods to case notes, complaints and other documents to surface insights not captured in structured data.
6. AI-enabled analytics — Develop small-scale proof-of-concepts for AI or automation in MED's analytics work, with appropriate human oversight and governance.
7. Stakeholder engagement and capability building — Help MED teams frame analytical problems, advise on metrics and methods, and provide hands-on guidance to team members developing dashboards and analytical tools.

What We Are Looking For

• Qualifications in data analytics, statistics, economics, mathematics, computer science, public policy, social sciences or a related discipline, with relevant experience in data analysis, business intelligence, programme evaluation or operations analytics.
• Proficiency in Excel and Tableau or equivalent is expected. Experience with SQL, Python or R, and familiarity with text analytics, NLP or generative AI would be an advantage.
• Experience with public-sector operations or case-management data is useful but not essential.
  Competencies:
  [Data quality and collection] Cleans, validates and documents data; designs repeatable collection approaches.
  [Analysis and modelling] Examines patterns and relationships; applies suitable quantitative methods with clear assumptions.
  [Unstructured data and AI] Applies text analytics or AI methods responsibly, with human oversight and attention to risk.
  [Charts and dashboards] Designs clear visualisations that support monitoring and decisions.
  [Data storytelling] Communicates findings in plain language tailored to the audience.
  [Stakeholder engagement] Frames analytical questions with users and supports appropriate interpretation of findings.
  Key deliverables:
• Management dashboards and recurring reports covering MED's priority indicators, including improvements to existing Tableau and Excel dashboards
• Programme evaluation analysis supporting MED's MOF reporting commitment
• Cleaned, documented datasets with data dictionaries and methodology notes to support handover and continued use after the contract ends
• Thematic and trend analyses of complaints, surveys and case records, written up as analytical briefs with findings, implications and recommended actions
• (Stretch) Validated AI-assisted workflows for document extraction or classification
  This 11-month contract is intended to meet MED's immediate analytics and programme evaluation needs. The officer should be able to contribute with limited lead time and deliver usable outputs, documentation and knowledge transfer within the contract period. Appointment level and any applicable skills allowance remain subject to HR's assessment.