Data Analytics, Operations Intelligence, Consultant

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.

As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.

To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.

If you believe in developing a better tomorrow, read on. 

About the Role

Apply advanced analytics and leverage Power BI to create impactful data visualizations, reports, and dashboards that support data-driven decision-making. The insights provided will help streamline operational processes, improve efficiency, and elevate service quality. Collaborating with cross-functional teams, this role will play a vital role in solving operational challenges and advancing the company’s digital transformation within the insurance sector.

Responsibilities:

Data Analytics

• Power BI Expertise: Proficiency in Power BI for data visualization, report building, and dashboard creation. Experience with DAX and Power Query is a plus.
• Data Handling: Strong SQL skills for querying and managing large datasets. Experience with data modelling and ETL pipelines is preferred.
• Programming Skills: Proficiency in Python for data analysis and automation.
• Data Engineering: Ensure data quality by cleaning, transforming, and processing large datasets from multiple sources.

 

Team Collaboration and Presentation

• Collaboration: Work closely with business stakeholders to understand business requirements and translate them into data analytical solutions.
• Presentation and data storytelling: Create impactful presentations to effectively communicate insights to non-technical stakeholders and guide strategic decision-making.

Requirements:

• A Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics. PhD candidates are welcome to apply.
• Hands on experience in Power BI, QlikView, Azure ML, and Databricks.
• High proficiency in SQL, Python and other relevant programming languages.
• Expertise in Data Visualization.
• Good communication and presentation skill.
• Ability to manage multiple projects and meet tight deadlines in a fast-paced environment.
• Strong problem-solving skills with a keen analytical mindset.
• High coding standards on analysis, models and pipeline development.
• Strong communication skills, with the ability to translate technical insights into clear, actionable information for non-technical stakeholders.
• Effective team player, capable of thriving in cross-functional, collaborative environments.
• Detail-oriented with the ability to maintain accuracy in high-pressure scenarios.
• Self-driven with consistently innovative mindset

Experience:

• 5-7 years of hands-on experience as a Data Scientist, Data Analyst, Dashboard Developer, ideally within in the insurance industry.
• Proven expertise in handling and analyzing large-scale, complex datasets.
• Hands-on experience on Gen AI solutions is a plus.
• Hands-on experience on RPA implementation is a plus.

Others:

• You are required to obtain relevant license if your job involves in regulated activities

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.