Data Analyst Intern

**Entity**: Allianz Insurance Singapore
Within a span of just four years, Allianz Insurance Singapore (AIS) has emerged as the fastest-growing General Insurance company, achieving an unprecedented level of success. Since its inception in Singapore, AIS has consistently doubled its revenue year on year, a testament to its unwavering dedication to excellence
AIS takes great pride in being certified as a Great Place to Work, a reflection of our commitment to fostering a thriving and employee-driven business culture
Our Opportunity
The incumbent will be part of the newly launched Data Office of Allianz Insurance Singapore and support the delivery of strategic data solutions that cater to the needs of both internal users, such as management and departments within the company, and external users, such as direct customers and intermediaries (Brokers, Financial Advisors and Agents)
As a Data Analyst intern your main responsibility will be to analyze and interpret data related to insurance policies, claims, risk assessment and self-service. You will work closely with the Data Engineering and Architecture team as well as all departments (Sales, Technical, Claims, Finance etc.) in the company to gather requirements and produce relevant data analysis, reports and models to support decision-making processes and create new data products. Additionally, you will contribute to ensuring effective Data Governance and Data Management practices within the organization.
**Key Responsibility Areas**:

- Data collection and processing: Collecting and organizing data from various sources such as insurance databases, reports, online traffic data and external sources. This may involve using SQL queries, Excel spreadsheets, VBA or specialized software, like Jupyter Notebook and Anaconda.
- Data analysis: Analysing data using statistical techniques and tools to identify patterns, trends, and correlations. This may include building and maintaining predictive models to assess risk, estimate claims frequency and severity, and evaluate policyholder behaviour.
- Quality assurance: Conducting data quality checks and ensuring data accuracy and integrity throughout the analysis process.
- Reporting and visualization: Creating clear and concise reports, charts, and visualizations to present data analysis findings to stakeholders within the company and outside (intermediaries). This may involve using tools such as Power BI or MicroStrategy.
- Data Governance: Assisting in establishing and maintaining Data Governance practices within the organization, including data quality management, data privacy compliance, and data security protocols.
- Data Management: Contributing to the development and implementation of Data Management strategies, including data acquisition, integration, transformation, and storage.

**Requirements**:

- Pursuing a Masters degree in a relevant field such as mathematics, statistics, actuarial science, or data science.
- Strong analytical skills and proficiency in data analysis techniques and tools.
- Knowledge of Data visualization tools such Power BI MicroStrategy
- Familiarity with programming languages such as VBA, Python, or R
- Understanding of Data Governance and Data Management principles and best practices.
- Strong written and verbal communication skills to effectively communicate findings and insights.
- Ability to work collaboratively in a team environment and manage multiple tasks simultaneously.
- An understanding of insurance concepts and principles is a plu
- Familiarity with AI tools such as ChatGPT, Microsoft Copilot, or similar platforms to enhance productivity, process efficiency and generate insights.

77636 | Data& AI | Entry Level | n.a. | Allianz Singapore | Full-Time | Temporary
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.
Join us. Let's care for tomorrow.