Senior Analytics & Insights Leader

STB Singapore Tourism Board; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

The Singapore Tourism Board seeks a data analytics professional to apply quantitative methods across the data lifecycle, partnering with business users to sharpen insights on visitors, markets and tourism products. The role guides planning and strategy by turning data into actionable recommendations and building dashboards to communicate findings.

Responsibilities include data collection, cleaning, analytics, visualisation, stakeholder advisory, and cross-functional collaboration to elevate data

Qualifications

• Trained in Data Analytics, Statistics, Economics, Applied Mathematics or a related quantitative discipline.
• At least 5 years of relevant working experience in data collection, pre-processing, wrangling, analytics and data visualisation.
• Strong analytical skills with attention to detail and ability to address strategic/analytical problems.
• Strong organisation, project and time management skills.
• Ability to synthesise data across multiple sources to derive business insights.

Responsibilities

• Apply statistical techniques to process and analyse datasets from multiple sources.
• Wrangle and transform data into analysis-ready formats and communicate findings with visualisations.
• Translate insights into actionable recommendations for stakeholders.
• Deliver insights addressing business questions.

Skills

Quantitative analysis

Stakeholder management

Cross-functional collaboration

Data storytelling

English communication

Problem solving

Education

Data Analytics / Statistics / Economics / Applied Mathematics degree

Tools

R

Python

SQL

Excel/Power Pivot

QlikSense

QuickSight

Job description

The Singapore Tourism Board seeks a data analytics professional to apply quantitative methods across the data lifecycle, partnering with business users to sharpen insights on visitors, markets and tourism products. The role guides planning and strategy by turning data into actionable recommendations and building dashboards to communicate findings.

Responsibilities include data collection, cleaning, analytics, visualisation, stakeholder advisory, and cross-functional collaboration to elevate data