Data Office Intern: Governance, Analytics & AI Enablement

Allianz Insurance Singapore Pte. Ltd.

Singapore

On-site

SGD 13,000 - 20,000

Full time

11 days ago

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Job summary

Allianz Insurance Singapore’s Data Office offers a hands-on internship to support data governance, reporting, and analytics initiatives. You will collaborate with stakeholders across Underwriting, Claims, Finance and Sales, and work with Data Engineering and regional teams.

You will help build Power BI dashboards, validate data, and contribute to AI-enabled initiatives while learning governance, privacy, and responsible AI practices in a regulated financial services environment.

Qualifications

  • Experience building Power BI dashboards and data models.
  • Proficient in Python for data analysis and automation.
  • Strong SQL and Excel skills for data extraction and reporting.
  • Knowledge of data governance, metadata, glossaries and stewardship.

Responsibilities

  • Maintain data governance quality, data dictionary and glossaries.
  • Support UAT, regression testing and data validation for reports and data products.
  • Build and maintain Power BI dashboards; perform data modeling and analysis.
  • Use Python (pandas, numpy) to analyze datasets and validate outputs.
  • Create data-literacy materials and support data training and governance docs.
  • Coordinate stakeholder requests with cross-functional teams and regional partners.
  • Assist AI and automation initiatives, document prompts, and governance artifacts.

Skills

Power BI
Python
SQL
Excel
Data governance

Education

Bachelor's or Master's degree in Data Science / Analytics / Statistics / Mathematics / CS

Job description

Allianz Insurance Singapore’s Data Office offers a hands-on internship to support data governance, reporting, and analytics initiatives. You will collaborate with stakeholders across Underwriting, Claims, Finance and Sales, and work with Data Engineering and regional teams.

You will help build Power BI dashboards, validate data, and contribute to AI-enabled initiatives while learning governance, privacy, and responsible AI practices in a regulated financial services environment.

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