Singapore, Singapore
Live, first seen by us 30 days agoEmployment type in the employer’s posting: TemporaryFrom the employer’s posting
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
Maintain the Data Dictionary and Business Glossary and track remediation with Data Owners
Build and maintain Power BI dashboards using DAX and data modelling
Use Python to analyse datasets, run data quality checks and validate reporting outputs
Support UAT, regression testing and data validation for reports and system changes
Coordinate requests with business teams, Data Engineering and offshore partners
Maintain the Data Dictionary and Business Glossary; track remediation with Data Owners
Build and maintain Power BI dashboards using DAX and data modelling
Use Python, including pandas and numpy, to analyse datasets, perform data quality checks, identify trends and anomalies, validate reporting outputs
Support UAT, regression testing, data validation, and release checks for reports, data products, and system changes.
Coordinate requests and initiatives with business teams, Data Engineering, and regional or offshore partners.
Python | Data analysis, data quality validation, automation, and scripting using pandas and numpy.
Knowledge of P&C insurance, Azure data services, enterprise reporting platforms, Power Automate or UiPath, AI/ML, Generative AI tools, PDPA, or GDPR.
Hands-on experience across data governance, reporting, analytics, AI enablement, and automation in a regulated financial services environment.
SQL & Excel | Working knowledge of SQL for data extraction and querying; strong Excel skills including Pivot Tables and XLOOKUP/VLOOKUP.
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
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Day 30
Similar jobs usually come down between day 6 and day 56.
Well past Allianz Insurance’s usual: its jobs come down by about day 3.
From 13,630 similar postings that came down, and 421 of Allianz Insurance’s. Coming down is not always a hire.
65 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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.
- 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.
- 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.
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
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.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
REQUIREMENTS
Education
Required technical skills
Core capabilities
Advantageous
WHAT YOU WILL GAIN
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.
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Singapore, Singapore
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