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Data Analyst (28k, insurance)

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Onsite

Data Analyst (28k, insurance)

Michael Page International (HK) Ltd

Data Analyst (28k, insurance)

Skills

TableauPythonData ScienceData VisualizationDatabricksAlteryxData AnalysisPower BI

1 month ago

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Important information


Contract type:

Freelance / Contract

Work mode:

Onsite

Published on:

15 September 2026

What they need


The Data Analyst role focuses on supporting projects within the insurance industry, ensuring accurate data analysis and reporting.

Client Details

One of the leading insurance firms in Hong Kong

Description

As a Data Analyst, your main responsibilities will include:

  • Automate and streamline the consolidation of in-force and new business data from multiple source systems.
  • Develop and enhance data validation checks, trend analysis, and control frameworks to improve the accuracy and consistency of regulatory submissions.
  • Support the delivery of reporting requirements for HKIA and AMCM.
  • Ensure data integrity across finance, actuarial, and investment datasets.
  • Identify opportunities to improve data flows, reporting processes, and operational efficiency.
  • Design, document, and maintain data transformation logic, workflows, and reporting processes.
  • Collaborate with stakeholders to deliver scalable and sustainable data solutions.

Profile

A successful Data Analyst should have:

  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related discipline.
  • Minimum 2 years of experience in data analytics, business intelligence, or a related field.
  • Strong hands-on experience with data analysis, interpretation, and reporting.
  • Proficiency in Python is required.
  • Experience with Databricks and Alteryx is highly preferred.
  • Knowledge of data visualization tools such as Power BI, Tableau, or similar platforms is an advantage.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent communication and stakeholder management abilities.
  • Self-motivated with the ability to work independently and collaborate effectively within cross-functional teams.

Job Offer

If you're ready to bring your data expertise to this role, we encourage you to apply.

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Agnes Chow on +85225306125.

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