Data Quality & Purging Analyst
@ QBE Insurance

Pasay, National Capital Region, Philippines
$120,000
On Site
Full Time
Posted 4 days ago

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Job Details

Overview

The role of Data Quality & Purging Analyst at QBE Insurance applies scientific principles and data-driven analytics to improve business unit performance. The candidate will translate stakeholder needs into analytically tractable problems, utilize scientific methods and big data tools, and communicate insights effectively.

Responsibilities

  • Develop and refine analytical use cases with business customers.
  • Engage in diverse projects within the insurance domain.
  • Translate between business requirements and analytical problems.
  • Analyze and interpret data to test and iterate hypotheses.
  • Create data visualizations to present results and recommendations.
  • Support Data & Analytics teams as a machine learning expert.
  • Lead onshore and offshore analytics and data science projects.
  • Plan sprint activities and accurately estimate effort.
  • Ensure compliance with QBE policies, procedures and relevant legislation.
  • Share knowledge and promote reusable practices across teams.

Work Experience & Qualifications

Necessary work experience includes some relevant experience, with a preference for candidates experienced with large datasets, R, Python, Spark, and Linux environments. A tertiary degree or equivalent is required, with preference given to candidates with degrees in Computer Science, Engineering, Statistics, Mathematics or related quantitative fields.

Additional Information

This full-time position requires occasional travel (1-4 trips annually) and typical office-based physical demands. QBE Insurance is an equal opportunity employer and complies with all relevant EEO legislation.

Key skills/competency

  • Collaboration Tools
  • Communication
  • Critical Thinking
  • Data Analysis
  • Data Science
  • Data Visualization
  • Economics
  • Machine Learning
  • R Programming
  • Stakeholder Management

How to Get Hired at QBE Insurance

🎯 Tips for Getting Hired

  • Research QBE Insurance's culture: Understand mission, values, and latest news.
  • Customize your resume: Highlight data science and analytics experience.
  • Prepare technical examples: Showcase projects using R, Python, and Spark.
  • Review case studies: Familiarize with insurance analytics challenges.

📝 Interview Preparation Advice

Technical Preparation

Review R and Python coding challenges.
Practice data visualization techniques.
Study big data tools like Spark.
Refresh Linux command-line basics.

Behavioral Questions

Describe a time you solved a complex problem.
Explain teamwork in challenging project scenarios.
Share how you handle project deadlines.
Discuss conflict resolution in collaborative projects.

Frequently Asked Questions