Agency Analytic
6 days ago
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
Agency Analytic will be responsible for analyzing data sets, deriving actionable insights, and providing data-driven recommendations to drive business growth and improve operational efficiency
**Responsibilities**:
- Collect, clean, and coordinate large datasets from various sources, ensuring data integrity and accuracy.
- Analyze sophisticated data sets using statistical techniques, data mining, and data visualization to identify trends, patterns, and insights.
- Develop and implement data models, algorithms, and statistical methodologies to support business objectives.
- Build and maintain dashboards, reports, and visualizations to effectively communicate findings and key-metrics to partners.
- Conduct ad-hoc analyses and provide insights on specific business questions or problems.
- Hands on with SQL Data Manipulation Language (DML); Data Definition Language (DDL); Structure of an SQL Command.
- Have deep knowledge and experience on Operational Data Store, Data Warehousing, and Business Intelligence.
- Proficient in crafting clear data visualizations to communicate findings & insights based on the business needs and priorities.
- Able and fluent in English speaking and writing.
Qualifications:
- Bachelor's degree or equivalent experience in a relevant field such as Mathematics, Statistics, Computer Science, or a related field.
- 3-5 years of professional experience in data analysis, preferably in a business or analytical role.
- Strong proficiency in SQL and experience with relational databases. - Proficiency in at least one programming language such as Python or R for data manipulation and analysis.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Good attention to detail and able to work with large datasets.
- Excellent problem-solving and critical-thinking skills.
- Good communication skills, both verbal and written, with the ability to communicate detailed findings to non-technical partners.
- Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives._
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