Data Analyst, Asia
Petaling Jaya, Malaysia
QBE Insurance
QBE Insurance Group is one of the world's top 20 insurance and reinsurance companies, located in 27 countries. Visit us for company information.Your New Role:
- Develop and refine analytical use cases with internal business customers in alignment with Analytics leads and partners.
- Play a role in projects of diverse scope, range, priority and urgency within the insurance domain.
- Support in translating between business and analytical problems.
- Interrogate and interpret data and models to formulate, evaluate and iterate hypotheses quickly.
- Integrate, format and present relevant analyses and data visualizations to communicate results, findings and recommendations to business users.
- Support Data & Analytics colleagues and business stakeholders as a Machine Learning expert.
- Plan own activities for each sprint, accurately estimating effort for stories/tasks.
- Ensure compliance with QBE policies and procedures and relevant legislation.
About You:
- Bachelor to Postgraduate Degree in a Quantitative field such as Computer Science, Engineering, Statistics, Mathematics or related disciplines.
- Experience in producing insights from large datasets.
- Analytics experience with R, Python, Spark.
- Collaborative programming project experience.
Skills:
Cleaning (Inactive), Collaboration Tools, Communication, Critical Thinking, Data Analysis, Data Science, Economics, Intentional collaboration, Machine Learning, Managing performance, Process Improvements, R Programming, Sourcing Analytics, Stakeholder Management, Team ManagementApplication Close Date: 29/06/2025 11:59 PMHow to Apply:
To submit your application, click "Apply" and follow the step by step process.
Equal Employment Opportunity:
QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data analysis Economics Engineering Machine Learning Mathematics Python R Spark Statistics
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