1. Lead, manage and drive data cleaning, exploration, compilation and analysis to derive insights and support business outcomes related to STB’s key tourism performance measures including Visitor Arrivals, Tourism Receipts, Hotels Stats.

2. Direct and coordinate data collection and analytics strategies, analysis of data collected from both quantitative and qualitative methods to come up with evidence-based insights that will help drive business decisions. This includes performing data wrangling and transformation to prepare raw data into analysis-ready formats, applying statistical/analytical methods to extract insights from data, utilising data visualisation tools to communicate findings effectively.

3. Deliver relevant tourism performance insights to stakeholders.

4. Monitor and lead a team on regular reporting, publications and data requests from stakeholders and maintain key databases from which analysis is drawn from.

5. Oversee all aspects of project management, ranging from contract and vendor management to end-to-end data operations, including fulfilling data custodian role of ensuring good quality data, enhancing existing datasets and dashboards.

6. Collaborate with cross-functional teams, including product managers, data scientists/engineers and business stakeholders, to integrate and deploy models and dashboards into analytics platforms.

7. Provide data advice and support to internal (within STB) and external (WOG, industry) stakeholders as relevant. This may include the assessment of economic contributions from major tourism projects.

8. Collaborate with internal and external stakeholders to gather intelligence on emerging issues and provide actionable insights.

9. Provide effective leadership and guidance to the Analytics and Insights team in the areas of operational data analytics including synthesis of results and ensuring data accuracy and alignment with organisational outcomes, and communicating the findings to stakeholders.

10. Grow a high-performance analytics team.

-Bachelor’s degree in Data Analytics, Applied Mathematics, Statistics, Economics or a related quantitative discipline

-A minimum of 8 years of relevant experience in data analytics, interpretation and visualisation, with at least 3 years’ experience in leading teams

-Strong foundational knowledge of data analytics methodologies and analytics skills, with a good eye for detail and possess an aptitude/experience in solving analytical problems using quantitative approaches

-Good mastery of both qualitative and quantitative research methodologies

-Advantageous if you have experience in research applications in a client-side context

-Ability to conduct statistical modelling and forecasting

-Ability to integrate and synthesise research and data across multiple sources to derive meaningful conclusions

-Proven track record in engaging relevant stakeholders (within and outside of the organisation)

-Strong presentation skills and ability to communicate complex data/ concepts and outcomes of analysis in an easy-to-understand manner

-Mature and comfortable presenting to and interacting with people from senior management levels

-Strong organisation and project management skills

-Experience in managing projects with external stakeholders and vendors

-Possess statistical knowledge and comfortable working with numbers

-Proficient in data manipulation and usage of analytics tools e.g. R, SQL, Python.

-Highly self-motivated, able to work under pressure and meet tight deadlines, adapt to and work effectively in dynamic situations

-Meticulous, detail-oriented and able to work independently

-Strong command of written and spoken English

-Creativity and willingness to advocate new approaches

-Passion for learning new technologies/ tools

-Understanding of economic impact and cost benefit assessment will be an advantage