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Regional - Data Analyst

QBE Insurance Petaling Jaya, Malaysia
Posted 3 days ago Permanent Competitive
Primary Details
Time Type: Full time

Worker Type: Employee

Undertake data analysis and produce management information. Maintain databases and reporting functions; provides input into business decisions through the data analysis of trends and business opportunities and conduct analysis of business needs requiring technology solutions, map key processes, document business requirements/rules. Provide analytical support and contribute to business projects. Responsible for all associated tasks and activities for strategy, profitability, business planning, performance management, people management etc.

Primary Responsibilities
  • Develop and refine analytical use cases with internal business customers in alignment with Analytics leads and partners
  • Play an active role on projects of diverse scope, range, priority and urgency within the insurance domain
  • Translate 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
  • Direct the work of onshore and offshore analytics and data science projects
  • Plan own activities for each sprint, accurately estimating effort for stories/tasks
    Optionally, undertake a scrum master role within projects
  • Ensure compliance with QBE policies and procedures, and relevant legislation
  • Share knowledge and contribute reusable practices and techniques within and beyond the team
  • Adopt standard business assets, practices and systems to complete tasks
  • Establish and maintain a good working relationship within the team
  • Maintain partnerships and working relationships with offshore teams and/or group-wide Data & Analytics team members
  • Track benefits delivered to internal customers
  • Maintain relationships with business by actively participating in the agile process
  • Source, integrate, explore and examine data from multiple sources; discover, analyse and summarize relationships, trends and insights; derive, validate and interpret models and the results of data experiments; and connect these analytic results to cost saving, revenue improvement, and risk reduction business decisions and actions
  • Assist in identifying and addressing key business questions, issues and opportunities
  • Diagnose root causes, by applying analytical and statistical techniques to quantitative data in combination with qualitative knowledge, assumptions and judgments
  • Collect new data and refine existing data sources as required
  • Contribute to Data & Analytics architectures and reporting, analysis and modelling standards and methodologies
  • Contribute to the development of new descriptive, exploratory, diagnostic, predictive and prescriptive analyses
  • Structure and document the data preparation, management, modelling, visualization and presentation tasks supporting each analysis output
  • Work effectively with data scientists, analytics partners, data analysts, and other technical specialists
  • Contribute to an inclusive environment that supports knowledge sharing and sharing diverse ideas
  • Take an interest in industry standards and practices to stay on top of the latest trends, tools and policy

  • Bachelor Degree in Quantitative field (Computer Science, Engineering, Statistics, Mathematics or related disciplines)
  • Ability to distil and abstract complex problems into appropriate data-driven / machine learning analogy
  • Ability to engage with senior team members and business stakeholders and clearly articulate findings
  • Ability to support the development of architectural prototypes that integrate machine learning with complex and fluid IT systems
  • Advanced data visualization skills (eg PowerBI, ggplot, plotly)
  • Inquisitive, with a passion for business improvement and empirical analysis
  • Intermediate to advanced programming skills (particularly in R, Python)
  • Experience in producing meaningful insights from large structured and unstructured datasets
  • Analytics experience using modern data science tools such as R, Python, Spark
  • Experience working collaboratively on programming projects
  • Comfortable working in a Linux environment
  • Detailed knowledge of state of the art statistical and machine learning techniques and their business applications
  • Working knowledge of IT and Cluster technologies such as: Vagrant, Puppet, docker, Mesos, Jenkins
  • Intermediate knowledge of relational databases such as: SQL, Hive, Pig
  • Understanding of experimental design techniques and their associated limitations
  • Working knowledge of probability theory and the applications of Bayes theorem
QBE Cultural DNA

Everything we do at QBE is underpinned by our DNA (which interlinks seven cultural elements) - because we know it's not just what we do that matters, it's how we do it that makes the difference. We expect all employees to role model and inspire the right behaviours that link to our cultural elements:
  • We are customer-focused
  • We are technical experts
  • We are inclusive
  • We are fast-paced
  • We are courageous
  • We are accountable
  • We are a team
All employees are expected to adhere to QBE's Code of Ethics and Conduct and apply sound risk management practices

Global Disclaimer

The duties listed in this job description do not limit the assignment of work. They are not to be construed as a complete list of the duties normally to be performed in the position or those occasionally assigned outside an employee's normal duties. Our Group Code of Ethics and Conduct addresses the responsibilities we all have at QBE to our company, to each other and to our customers, suppliers, communities and governments. It provides clear guidance to help us to make good judgement calls.

How 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.
Job ID  317218
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