Data Analyst Team Lead

Leadingnation; Hong Kong; On-site; HKD 1,200,000 - 1,800,000; Full time

Job summary

Leadingnation in Hong Kong seeks a senior leader to head the Data & Analytics function. You will oversee a multidisciplinary team, craft complex visualisations and analytical models to quantify the impact of market and operational changes, and work with stakeholders to prioritise and deliver high-impact analytical use cases.

You will analyse large-scale transactional, operational and customer data using a mix of proprietary and open-source tools, driving insights that inform strategy and

Qualifications

• Degree in a quantitative discipline such as Mathematics, Statistics, Actuarial Sciences, Computer Science, Engineering or Life Sciences.
• 8+ years of industry experience applying advanced analytics.
• Experience guiding operational improvements and supervising analytics/engineering teams.

Responsibilities

• Overseeing a multidisciplinary Data & Analytics team.
• Designing and building complex visualisations and analytical models to understand impact of market/operational changes.
• Collaborating with operations to identify and deliver high-impact analytical use cases.
• Analyze large volumes of transactional, operational and customer data using proprietary and open-source tools.

Skills

Leadership

Advanced analytics

Data visualization

SQL/NoSQL

Python/R

Education

Quantitative degree

Tools

Tableau

PowerBI

Qlikview

SQL

NoSQL

Neo4J

R

SAS

Job description

Responsibilities

• Overseeing high performing, multidisciplinary members of the Data & Analytics team, you will design and build complex visualisations and analytical models to understand the impact of various market or operational changes to our business
• Work closely with the operational and functional areas to identify, prioritise and deliver on their most pressing and impactful analytical use case; turning complex findings into simple visualisations and recommendations for execution
• Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
• Be part of a fast-paced industry and organisation where time to market is critical

Requirements

• Degree in a quantitative discipline, as Mathematics, Statistics, Actuarial Sciences, Computer Science, Engineering or Life Sciences
• Minimum 8 years of industry experience applying advanced analytics
• Demonstrated experience in the application of analytical techniques to guide operational improvements, scheduling, asset utilisation or investment decisions; and of supervising the work of others, preferably analytics or engineering roles
• A desire and ability to think abstractly, solve problems and deal with ambiguity
• Enthusiasm and drive to be a leader in our team, helping shape and develop its future
• Strong communication, presentation, project management and time management skills
• Advanced competency in two or more of the following:
• Analytical software (e.g. R, SAS);
• Data visualisation tools (e.g. Qlikview, Tableau, PowerBI,);
• A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J);

Programming. (e.g. VBA, C++, Java, Python);

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.