Data Office Analyst Intern

Allianz Insurance Singapore; Singapore; On-site; SGD 8,900 - 13,000; Full time

Job summary

Allianz Insurance Singapore invites a data-focused intern to collaborate with the Data Office on governance, reporting, and analytics initiatives. You will work closely with the Head of Data & AI in a small, high-impact team supporting data enablement, governance and responsible AI adoption.

The role offers hands-on exposure across data governance, reporting, and automation in a regulated financial services environment, with mentorship and cross-functional exposure to underwriting, claims, and

Qualifications

• Pursuing a Bachelor or Master’s degree in a data-related field.
• Strong interest in data governance, analytics, and reporting.
• Demonstrated ability to work with Power BI, Python and SQL.

Responsibilities

• Support data governance, quality checks, and documentation.
• Build and maintain Power BI dashboards and reports.
• Utilize Python for data analysis, validation, and basic automation.
• Assist with data storytelling and stakeholder updates.
• Coordinate with cross-functional teams and regional partners.
• Support AI and data lifecycle governance efforts.

Skills

Power BI

Python

SQL

Data governance

Stakeholder communication

Education

Bachelor's or Master's in Data Science/Data Analytics/Statistics/Computer Science

Tools

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.