About GoBear
GoBear is Asia’s first and only metasearch engine for financial products. We focus on making the comparison of insurance and banking products as efficient and user-friendly as possible, aiming to empower users to confidently choose the right financial products. We seek individuals who are innovative, love technology, and are not afraid to experiment and take risks.
The Job
Reporting directly to the Chief Finance Officer, the Analytics Director will be responsible for spearheading the identification of optimal research and analysis methodologies to provide key findings for complex business questions. This role involves providing technical leadership to data scientists, data analysts, and business stakeholders, defining data requirements, performing gap analysis, sourcing and transforming data for exploratory analysis, and designing models.
Responsibilities
- Lead on providing end-to-end solutions that can turn complex and large volumes of data into 'intelligent data' that can answer critical business questions.
- Lead a team of data science engineers and analysts to deploy analytical solutions for the business.
- Collaborate with C-level to plan and implement analytics projects.
- Craft a data strategy and continuously enhance the analytics platform leveraging tools on the Google Cloud Platform.
- Plan, implement, and track long-term and short-term data projects.
- Research and development of new technology that can support our product and company strategy.
- Follow the data governance, management and ownership frameworks as set by the product team.
- Perform data management, visualization and business analytic research to identify patterns of use.
- Actively participate in the high-end analytics product development for business transformation.
Requirements
- Master’s degree in Computer Science, Statistics, Engineering, Mathematics or Physics. Ph.D. would be highly preferred.
- 8-10 years of relevant work experience in Data Science; 2-3 years of experience in Data Engineering will be an advantage.
- 2-3 years of experience in leading/mentoring data scientists & analysts.
- Hands-on experience in programming with Python and R.
- Hands-on experience in Machine Learning, Mathematical and Statistical Modelling, Data Reporting and Visualization techniques.
- Hands-on experience in tools such as Apache Kafka, Apache Beam, Apache Airflow, Apache Spark and TensorFlow.
- Experience with No-SQL databases.
- Experience in image processing will be an advantage.
- Familiarity with Google Cloud Platform will be an advantage.
- Project Management experience in big data: managing initiatives from planning, development to implementation will be an advantage.
- Excellent in oral and written communication in English, as well as effective interpersonal skills.
Does this sound like you?
- You have the ability to drive and implement insights in a challenging environment.
- You are highly analytical & organized.
- You are a collaborator, able to partner with C-level & Country Directors.
- You are able to build and manage a team.