Enterprise Analytics, Consultant

1 week ago

Singapore AIA Full time

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.

WE ARE LOOKING FOR.....

Responsible for changing AIA’s analytics landscape and business formulas by delivering best-in-class analytics solutions to drive business growth, improve efficiencies and reduce costs.

**Job Description**:

- Communicate findings from analytical modelling results to relevant stakeholders that will give insights to improve decision making and drive business performance.
- Implement analytical models into production systems by collaborating with relevant stakeholders.
- Develop processes and tools to monitor and analyze model performance, as well as implement improvements as needed.
- Provide support in building the foundation of technical analytics capabilities within Enterprise Analytics department, including sharing of best coding, modelling and data science practices within the team.
- Drive analytics innovation by keeping abreast of industry’s trends, evaluating and adapting new and improved data science approaches for the business.
- Develop in depth understanding of the business and be able to advise the business on the right analytics approach by participating in business discussions and presentations as applicable.

**Requirements**:

- Bachelor’s degree holder, ideally in STEM disciplines (Science, Technology, Engineering, Math); graduate degree in Statistics, Applied Math, Data Science or other related quantitative field is preferred.
- Approximately 3-5 years’ of working experience in data science.
- Experience using programming languages (e.g. Python, R, SQL) to manipulate data and draw insights from large data sets.
- Experience with business intelligence tools (e.g. Tableau), Excel, PowerPoint.
- Knowledge of a variety of machine learning techniques (clustering, decision tree, random forest, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Experience in productionisation and maintenance of machine learning systems.
- Experience in SPARK based technologies / Databricks is highly desirable.
- Strong analytical skills, deductive reasoning, problem solving and critical thinking skills.
- Excellent relationship management, strong team building, and the ability to work across business units and functions to drive positive business outcomes.
- Project management skills and ability to manage multiple priorities.
- Strong sense of urgency and accountability to drive business outcomes.
- Passionate about working with numbers.
- A drive to learn and master new technologies and techniques.
- Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives._

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