Über diese Analytics Technical Lead Stelle bei AIA
At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
It’s about finding new ways to not only better people's lives, but to better the communities and environments we live in. Encompassing our ambition of helping a billion people live Healthier, Longer, Better Lives by 2030.
And as part of our marketing, distribution & partnership team, you’ll play a vital part in advancing this movement. From inspiring meaningful connections with customers, partners and other stakeholders, to delivering purpose-led brand positioning and messaging, you'll be making a positive, healthy impact across all channels. You will have a unique and important part to play in helping more people live Healthier, Longer, Better Lives.
So if you believe in inspiring a better future, read on.
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.
#LI-DNI
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.
