Data Office Analyst Intern

Allianz Insurance Singapore Pte. Ltd.; Singapore; On-site; SGD 13,000 - 20,000; Full time

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

Entity: Allianz Insurance Singapore

The Data Office at Allianz Insurance Singapore drives the company's data and AI transformation. The intern will work directly with the Head of Data & AI in a small, high-impact team supporting data governance, reporting and analytics, employee enablement, stakeholder coordination, and responsible AI adoption.

This hands-on, business-facing role works with Underwriting, Claims, Finance, Sales, Management, Data Engineering, and regional or offshore partners to deliver trusted data and actionable insights.

KEY RESPONSIBILITY AREAS

• Data governance & quality |Maintain the Data Dictionary and Business Glossary; track remediation with Data Owners; conduct quality checks; monitor completeness, accuracy, timeliness, and consistency KPIs; and support governance, privacy, and Data Maturity Framework documentation.
• Testing & validation | Support UAT, regression testing, data validation, and release checks for reports, data products, and system changes. Document results, follow up on defects, and confirm business requirements are met.
• Reporting, analytics & Python | Build and maintain Power BI dashboards using DAX and data modelling; deliver recurring reports and ad hoc analysis; and translate business questions into actionable insights. Use Python, including pandas and numpy, to analyse datasets, perform data quality checks, identify trends and anomalies, validate reporting outputs, and support basic automation.
• Data empowerment & communication | Support Data & AI training, the newsletter, SharePoint content, SOPs, FAQs, process documentation, and data-literacy materials. Keep the Data Office knowledge repository accurate and accessible.
• Stakeholder coordination | Coordinate requests and initiatives with business teams, Data Engineering, and regional or offshore partners. Prepare materials and track actions, risks, dependencies, and decisions for governance forums and management updates.
• AI & automation support | Support use cases through testing, validation, documentation, prompt development, and user feedback. Help assess Power Automate opportunities and maintain AI lifecycle, governance, and compliance documentation.

REQUIREMENTS

Education

• Pursuing a Bachelor's or Master's degree in Data Science, Data Analytics, Business Analytics, Statistics, Mathematics, Information Systems, Computer Science, Business Administration, Information Management, or a related field combining business and data skills.

Required technical skills

• Power BI | DAX, data modelling, dashboard development, and interactive visualisation.
• Python | Data analysis, data quality validation, automation, and scripting using pandas and numpy.
• SQL & Excel | Working knowledge of SQL for data extraction and querying; strong Excel skills including Pivot Tables and XLOOKUP/VLOOKUP.
• Data governance | Understanding of data quality, metadata, business glossaries, ownership, stewardship, and Data Management principles.

Core capabilities

• Strong analytical, organisational, written, and verbal communication skills, with attention to detail and the ability to translate technical findings into business language.
• A proactive, self-driven approach; ability to take ownership and manage multiple priorities collaboratively in a small, cross-functional team.

Advantageous

• Knowledge of P&C insurance, Azure data services, enterprise reporting platforms, Power Automate or UiPath, AI/ML, Generative AI tools, PDPA, or GDPR.
• Any AI-future skills e.g., ChatGPT, or CoPilot 365, will be an advantage

WHAT YOU WILL GAIN

• Hands-on experience across data governance, reporting, analytics, AI enablement, and automation in a regulated financial services environment.
• Direct mentorship from the Head of Data & AI and practical experience with Power BI, Python, SQL, Generative AI, and enterprise data platforms.
• Broad exposure to Underwriting, Claims, Finance, Sales, Management, and regional data teams, supporting future careers in analytics, business intelligence, data governance, AI, or consulting.

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
Join us. Let's care for tomorrow.