Data Office Analyst Intern

Allianz; Singapore; On-site; SGD 20,000 - 27,000; Part time

Job summary

Allianz Insurance Singapore is offering a hands-on data internship in the Data Office, working directly with the Head of Data & AI to support governance, reporting, analytics, and responsible AI adoption.

You will collaborate with Underwriting, Claims, Finance, and regional teams to deliver trusted data and actionable insights while building Power BI dashboards and applying Python for data analysis.

Qualifications

• Pursuing a Bachelor's or Master's degree in a data-related field.
• Proficiency in Power BI, Python, SQL, and Excel.
• Knowledge of data governance concepts and Data Management principles.
• Strong analytical and communication skills.

Responsibilities

• Data governance & quality: monitor KPIs, glossary, and governance docs.
• Testing, validation, and release checks for reports and data products.
• Build and maintain Power BI dashboards; use Python for analysis.
• Support data literacy, training materials, SOPs, and knowledge base.
• Coordinate requests with business teams and regional partners; track actions.
• Assist AI use cases with testing, documentation, and governance tasks.

Skills

Data analytics

Power BI

Python

SQL & Excel

Communication

Education

Bachelor's or Master's in Data Science/Analytics/Info Systems

Tools

Power BI

Python

SQL

Excel

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.