FIND YOUR BETTER AT AIA
We don't simply believe in being The Best. We believe in better - because there's no limit to how far better can take us.
We believe in empowering every one of our people to find their better - in the work they do, the career they build, the life they live and the difference they make. So that together we can support even more people - including our own - to live Healthier, Longer, Better Lives.
If you believe in better, we'd love to hear from you.
About the Role
This role will be responsible for a timely and quality delivery of analytical solutions through impactful insights and predictive algorithms that support business decision making; create and share insights with internal and external parties that add value to the customers and to the organization; coordinate with various teams and the stakeholders to maximize the benefits and impact of Analytics use cases within the organization.
Key Responsibilities:
Data Exploration & Preparation
- Clean, transform, and validate datasets from multiple sources.
- Develop repeatable data pipelines (SQL, Python/R) for analysis and reporting.
Analytics & Insights
- Perform descriptive and diagnostic analytics (e.g., trends, cohorts, segmentation).
- Build and maintain KPI frameworks and performance dashboards (Power BI/Tableau).
- Conduct ad-hoc deep dives to answer business questions and propose actions.
Business Partnering
- Translate business problems into analytical approaches and metrics.
- Present insights and recommendations to non-technical stakeholders.
Documentation
- Maintain clear documentation of datasets, metrics definitions, dashboards, and processes.
Qualifications:
- Min. 5 years of working experience
Technical Proficiency:
- SQL: Write clean queries (joins, CTEs, window functions), optimize for performance.
- Excel: Advanced formulas, pivot tables, lookups; comfortable with data wrangling.
- Programming: Python or R for data manipulation (Pandas/dplyr), basic visualization.
- Visualization: Experience with Power BI or Tableau (data modeling, DAX/calc fields).
Statistics:
- Solid grasp of descriptive statistics, sampling, hypothesis testing, correlation/regression.
Soft Skills:
- Analytical thinking, attention to detail, clear communication, stakeholder collaboration.
Data Literacy:
- Understanding of databases, data structures, and basic data governance/privacy.
Preferred Requirerments (Nice to Have):
- Experience building Power BI semantic models.
- Python stack: Pandas, NumPy, Matplotlib/Seaborn, scikit-learn (basic).
- Cloud data platforms (Azure Databricks).
- Domain experience (Agency Business Model).
- Storytelling and data presentation skills; ability to tailor narratives to executives.
