Manager, Data & Analytics

Welab Bank Limited; Hong Kong; On-site; HKD 700,000 - 1,100,000; Full time

Benefits offered by this job

Learning & development stipend

Wellness and flexible time off

Open plan office with free food &Drin

Job summary

WeLab, a leading fintech platform, seeks an experienced Analytics professional to partner with product and risk teams. You will identify high-impact, data-driven use cases, analyze customer behavior and portfolio performance, and translate findings into actionable insights for business stakeholders.

You will develop segmentation, support customer journeys, and design KPI frameworks while collaborating with tech teams to embed analytics into day-to-day decisions.

Qualifications

• Bachelor’s or Master’s degree in Business, Data Analytics, Statistics, Finance, Economics, Computer Science or a related discipline.
• At least 5 years of relevant experience in data analytics, BI, customer analytics or a related role in banking/fintech.
• Strong business acumen and understanding of banking products, customer journeys and digital services.
• Proven ability to turn data into commercially actionable insights and recommendations.
• Strong communication and data storytelling skills to influence stakeholders.
• Hands-on experience with SQL and BI tools such as Qlik, Tableau or Power BI.
• Experience with Python or R for data analysis is a plus.
• Experience in customer analytics, segmentation, campaign analytics, experimentation or portfolio analytics valued.
• Curious, collaborative and comfortable in fast-paced environments; ownership mindset.

Responsibilities

• Partner with Product, Risk, Marketing and other teams to understand customer needs and growth opportunities.
• Identify and prioritize high-impact, data-driven use cases across acquisition, activation, adoption, engagement, cross-selling and retention.
• Analyze customer behaviour, product holdings, portfolio performance and customer value for actionable opportunities.
• Develop customer segmentation and insights to support relevant propositions and journeys.
• Translate data findings into clear insights, recommendations and actions for stakeholders.
• Work with business and tech teams to embed analytics into customer journeys and decisions.
• Design measurement frameworks and KPIs to track performance and impact of initiatives.
• Support experimentation and performance optimization, including measuring results and next actions.
• Drive the adoption of advanced analytics, AI and a data-driven mindset across the business.

Skills

Business acumen

Data storytelling

SQL

Power BI/Tableau/Qlik

Python/R

Stakeholder influence

Education

Bachelor’s or Master’s degree in Business/Data Analytics/Statistics/Finance/Economics/CS

Tools

Qlik

Tableau

Power BI

Job description

WeLab, a leading pan-Asian fintech platform, operates two digital banks (WeLab Bank and Bank Saqu) as well as multiple online financial services in Hong Kong, Mainland China, and Indonesia, with over 70 million individual users and over 700 enterprise customers. WeLab uses game-changing technology to help users access credit, save money, and enjoy their financial journey.

At WeLab, we always put our people first. Embarking on a career with WeLab means being part of the driving force to make financial services accessible for everyone. In our flat and agile organization, you will get all the opportunities to make real impacts and deliver change. Most importantly, while you achieve greatness, we will ensure you have an amazing experience at WeLab!

Our team is energetic and passionate who can deliver and execute, and we are looking for intellectually curious, open-minded, and smart-working individuals who are just as passionate as we are about making financial services enjoyable.

Join us to build a better financial future for everyone!

About You:

You're a go-getter with mad juggling skills (or multiple hats) who can thrive in a fast-paced, agile environment

You enjoy doing purpose-led and meaningful work

You have a strong thirst for knowledge and are driven to find solutions that don't exist yet

You are comfortable with ambiguity and extremely resourceful (in your past life, you could've been a detective)

You always find a way to get things done without sacrificing the quality of your work, integrity, and values

No task is off limits for you

You are humble and prioritize the success of the team over your own with an eagerness to help those around you

You don't shy away from challenges and can bounce back from setbacks

What you’ll do and what success looks like in this role

Partner with Product, Risk, Marketing and other business teams to understand customer needs, business challenges and growth opportunities.

Identify and prioritize high-impact, data-driven use cases across customer acquisition, conversion, product adoption, engagement, cross-selling and retention.

Analyze customer behaviour, product holdings, portfolio performance and customer value to uncover actionable business opportunities.

Develop customer segmentation and insights to support more relevant customer propositions, journeys and cross-product engagement.

Translate complex data and analytical findings into clear insights, recommendations and actions for business stakeholders.

Work closely with business and technology teams to embed analytics into customer journeys and day-to-day decision-making.

Design measurement frameworks and KPIs to track business performance and evaluate the impact of initiatives.

Support experimentation and performance optimization, including identifying opportunities, measuring results and recommending next actions.

Drive the adoption of advanced analytics, AI and a data-driven mindset across the business.

What is required and what we’re looking for

Bachelor’s or Master’s degree in Business, Data Analytics, Statistics, Finance, Economics, Computer Science or a related discipline.

At least5 years of relevant experience in data analytics, business intelligence, customer analytics or a related role, preferably within banking, fintech or financial services.

Strong business acumen and understanding of banking products, customer journeys and digital financial services.

Proven ability to turn data intocommercially actionable insights and recommendations, rather than simply producing reports.

Strong communication and data storytelling skills, with the ability to simplify complex analyses and influence business stakeholders.

Hands-on experience with SQL and data visualization / BI tools such as Qlik, Tableau or Power BI.

Experience with Python or R for data analysis would be an advantage.

Experience in customer analytics, segmentation, campaign analytics, experimentation or portfolio analytics would be highly valued.

Curious, collaborative and comfortable working in a fast-paced environment where you can take ownership and turn ideas into action.

Candidates with less experience may be considered forAssistant Manager, Data & Analytics.

Perks and Benefits to enrich your experience at WeLab:

Learning and development stipend - we value lifelong learning and believe the best way to invest in our employees is to encourage them to continue to learn

Wellness and happiness - Numerous activities to let you focus on your physical and mental wellbeing. We allow flexible time offs to take care of personal matters and to enjoy time with family and friends

Comfortable and positive work environment - Open plan office for easy collaboration and social with your colleagues, or branch out into your own thinking pods when needed, with FREE food and drinks for when you want to recharge

Work smart, play hard - Connect with your colleagues over food and drinks at the stocked pantry, in the spacious social area with board games and a ping pong table, or over activities like hiking, yoga, badminton, etc.

A big and contagious smile on everyone's face to make you happier :)

Asia Banking FinanceRetail Banking Awards:Virtual Bank of theYear-Hong Kong

CNBC Disruptor 50:the only Hong Kong-based company on the list

Financial TimesAsia-Pacific High-Growth Companies:#2in ranking

The Chinese University of Hong Kong“Corporate Innovation Index”:#1inranking

All information provided by applicants will be used for recruitment purposes only. Information of unsuccessful applicants will be destroyed within 24 months of receipt.