Director, Data Analytics

Key Skills

Java Programming, Python Programming, SQL, PowerBI, QlikView, Tableau, R Programming, SAS

Job Description

The customer is the focus of everything we do, and millions of end users rely on our products daily. We believe in the value of empowering Director, Data Analytics with the resources to solve critical problems for the future of our business, which is why we need you.

What motivates you?

• You obsess about customers, listen, engage and act for their benefit 
• You think big, with curiosity to discover ways to use your agile mindset and enable business outcomes
• You thrive in teams, and enjoy getting things done together
• You take ownership and build solutions, focusing on what matters
• You do what is right, work with integrity and speak up
• You share your humanity, helping us build a diverse and inclusive work environment for everyone 

We are looking for someone with:

• Bachelor’s degree in Computer Science, Computer Engineering, Statistic, Mathematics, or related fields
• Fundamental knowledge on programming languages like SQL, Python, R, SAS, or Java
• Experience in using data lake or other platforms that performs on distributed computing
• Fundamental knowledge on data visualization tools (Tableau, QlikView, PowerBI)
• Capability of applying a systematic, structured approach to explore/navigate/mine massive amount of data, structured or un-structured, to uncover hidden patterns/insights for business
• Good communication, influencing, collaborating and presentation skills

On the job you will:

• The candidate will take a leading role in the following areas in developing a robust analytics organization:
• Data Science/ Analytics Rigour – Develop analytics capabilities ranging from BI dashboards to advanced models, deploy analytics techniques /tools to improve ongoing insight generation process; keep abreast of analytics trends and the application of such in business relevant way
• Distribution and Rollover & Retention Strategy – understand the business and market dynamics and deep dive into granular data to understand the business trends and make actionable recommendations to the business team to achieve business goals, focus on commercialization of insights from data scientists under a customer-centric, need-based context, by proposing strategy / solutions relevant to distribution, rollover & retention and customers service models and product development; collaborate with HK Customer Experience team, in particular on the data analytics aspect of the NPS loops to help the squad(s) ; facilitate solution implementation; lead team to perform rollover & retention KPI monitoring

 Our commitment to you

• Our mission; to be a part of making Decisions Easier and Lives Better
• A leadership team dedicated to your growth and success
• A bold ambition and set of goals to be a leader in driving transformation in our industry 
• Our best. Every day.