Job Description
- Analyze data to bring insights that can help solve problem or prevent future problem to arise –
- Create hypothesis and test hypothesis using our data. If we don’t have the data, propose a way to capture and extract the needed data to stakeholders.
- Train data model based on our current data
- Define and monitor key metrics and alert the business on potential issues.
- Analyze operational efficiency and build business models to guide decision-making.
- Design market/business intelligence reports and performance measurement dashboards.
- Enhance our data infra, analyze large, complex data sets into actionable insights.
Qualifications
- At least a Bachelor degree in computing intensive subjects, e.g. finance, financial mathematics, computer science, mathematics, physics, bio-informatics, engineering
- Knowledgeable in SQL, data visualization using tools like Tableau and can code basic Python/R
- Advanced statistics knowledge
- Unafraid to deal with large, dirty, and messy data and can create ETL to clean and make the data workable – Amazing problem solver
- Experienced in using advanced analytics/machine learning in the real world scenario
- Past participation in science Olympiad or Kaggle is a plus
