1. Quantitative Market Research & Data Analytics

• Conduct end-to-end quantitative market research, covering research methodology, sampling techniques, fieldwork and data collection processes. Ensure data quality through outlier identification & treatment and manage data including data weighting for accurate analysis.

• Apply data analytics techniques to process and cross-analyse datasets.

• To share insights that addresses business questions through visualisations, insights papers etc.

2. Project Management

• To oversee and manage primary data collection, ensuring data quality as well as compliance to data management guidelines. 

• Act as a data custodian to key datasets managed by the team. serving as the in-house subject matter expert and work closely with both external and internal stakeholders to manage the data.

• Collaborate with internal and external stakeholders, such as WOG personnel, industry stakeholders and vendors as relevant to ensure smooth project implementation.

3. Data Support & Advisory

• Understand key business and research outcomes of stakeholders and provide timely advice and support to stakeholders, especially in the area of quantitative market research projects.

• Provide sound quantitative research advisory, including but not limited to research methodology, questionnaire design, data collection approach, data quality, data pre-processing, data management and analysis.

4. Data Capability

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

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

• Degree in a quantitative discipline: Data Analytics, Applied Mathematics or Statistics, Data Science or a related discipline

• At least 5 years of relevant experience in data collection, data pre-processing, data wrangling, and data visualisation

• Good mastery of both quantitative and qualitative research methodologies

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

• Strong organisation, project and time management skills

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

• Experience in modelling, creating, editing and publishing dashboards using visualisation tools such as Qlik Sense 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 with external stakeholders and vendors

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

• 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 using R, Python

• Proficient in Advanced Excel, PivotTable and Power Pivot 

• Working experience in SQL, Qlik Sense and AWS services will be advantageous

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

• Experience in managing vendor project teams