Assistant Manager to Senior Manager Analytics & Insights

STB - TOURISM COURT BUILDING, Singapore

The Singapore Public Service

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[What the role is]

[What the role is]

We are looking for an analyst to support the strategic planning division. You will support the development of strategies to chart the way forward for the tourism sector. The individual will play a key role in using data to enhance understanding of Singapore's visitors, markets and tourism products, to refine and address business problems as well as identify opportunities of growth for Singapore’s tourism industry.

[What you will be working on]

[What you will be working on]

1. Data Analytics

a) Apply statistical techniques to process and analyse datasets. This includes working with large, complex datasets and multiple data sources.

b) Perform data wrangling and transformation to prepare raw data into analysis-ready formats, applying statistical/ data analytics techniques to extract insights from data, and utilising data visualisation tools to communicate findings effectively.

c) Translate complex data insights into actionable recommendations for stakeholders.

d) To deliver insights that addresses business questions through insights papers, dashboards, etc

2. Project Management

a) Work closely with strategic planning division and business units to manage the data and ensure relevance of data collected, data quality as well as compliance to data management guidelines.

b) Collaborate with stakeholders as relevant to ensure smooth project delivery and implementation.

c) Collaborate with cross-functional teams such as business analysts, product managers, business stakeholders to integrate and deploy appropriate data feeds/ dashboards into analytics and/or visualisation platforms.

3. Tracking, Stakeholder Management & Advisory

a) Prepare and manage relevant tourism performance data compilation, tracking/reporting and analysis.

b) Understand key business and research outcomes of stakeholders and provide timely advice and support to stakeholders.

c) Provide sound quantitative data advisory, including but not limited to data collection approach, data quality, data pre-processing, data management and analysis.

4. Data Capability

a) Lead, manage and drive greater use of data among business users to answer business questions.

b) To share best practices within the organisation with the aim of uplifting data capability.

[What we are looking for]

[What we are looking for]

-Trained in Data Analytics, Statistics, Economics, Applied Mathematics or a related discipline

-At least 2 years of relevant experience in data collection, data pre-processing, data wrangling, data analytics and data visualisation, with proven track record in carrying out more advanced data analytics. 

-Strong analytical skills with a good eye for detail and possess an aptitude/experience in solving strategic and/or analytical problems using quantitative approaches

-Strong organisation, project and time management skills

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

-Experience in modelling, creating, editing and publishing dashboards using visualisation tools, such as QlikSense and QuickSight is advantageous

-Ability to communicate clearly complex data/concepts and outcomes of analysis so that learnings can be translated into strategies

-Working experience in managing projects

-Experience working with cross-functional teams in a dynamic, fast-paced environment is advantageous

-Strong presentation and communication skills with ability to express complex ideas in an easy-to-understand manner

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

-Strong command of written and spoken English

-Possess statistical knowledge and comfortable working with numbers

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

-Proficient in Advanced Excel and Power Pivot 

-Working experience in Amazon Web Services services will be advantageous

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Data Analytics Data management Data quality Economics Excel Mathematics Python QuickSight R Research SQL Statistics

Region: Asia/Pacific
Country: Singapore

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