WeLab Bank - Analyst, Data & Analytics

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

About the Role:

You will be the technical engine behind our data-driven decision-making. Supporting the Data and Analytics Manager, you will bridge the gap between complex data architecture and business strategy. Your primary focus will be designing, building, and maintaining scalable ETL data pipelines, while your secondary focus will involve gathering requirements, analyzing data, and developing reporting solutions for non-technical stakeholders. This role requires a strong technical engineering background, an analytical mindset, and a collaborative approach to supporting the team's data initiatives

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

Pipeline Development: Design, build, test, and maintain robust and scalable ETL/ELT pipelines to process structured, semi-structured, and unstructured data from multiple sources.

Data Integration & Architecture: Apply strong data engineering principles to build data ingestion, wrangling, cleansing, and transformation processes.

Data Modeling & Quality: Design and maintain efficient data models. Implement rigorous data quality, validation, and cleansing procedures to ensure high reliability for downstream analytics and reporting.

Automation: Automate data workflows and deployment pipelines (e.g., using CI/CD tools, GitHub Actions, or Airflow). Develop APIs or backend services to integrate data across platforms when necessary.

Troubleshooting: Conduct root-cause analysis, troubleshoot pipeline failures, and proactively optimize data pipelines for performance and scalability.

Data Exploration: Dive deep into source data to identify business value, hidden trends, data quality issues, and integration needs.

Business Collaboration: Partner closely with business stakeholders to gather data requirements and translate them into fit-for-purpose data assets.

Data Visualization: Design, develop, and maintain interactive dashboards and reports using tools like Looker or Tableau to make complex data easily digestible for non-technical stakeholders.

Actionable Insights: Assist Data Analytics Manager to support business decision-making by answering complex business questions through SQL queries, statistical analysis, and logical reasoning.

What is required and what we’re looking for:

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Engineering, Data Analytics, or a related field

At least 2 years of hands-on experience in data engineering, data analytics, or business intelligence, preferably within a digital bank, fintech, or similar institution

Core Engineering Skills: Proven, hands-on experience building, managing, and optimizing ETL/ELT data pipeline

Strong proficiency in Python (specifically for data engineering, automation, and data wrangling) and advanced SQL

Solid experience using BI tools (such as Qlik, Tableau, Power BI, or Looker Studio) for data analysis and dashboard creation

Solid understanding of financial services and banking products, with a strong eagerness to deepen your business acumen and learn about digital transformation

Strong ability to bridge the gap between technical and business teams, with a knack for clearly explaining complex technical data concepts to non-technical team members

Working knowledge of cloud data platforms (e.g., GCP/BigQuery, Azure, or AWS) is highly advantageous.

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, complemented by happiness dollars (basically, an extra stipend!) to spend on anything that makes you happy. 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 :)

WeLab’s Awards & Recognitions:

Asia Banking Finance Retail Banking Awards: Virtual Bank of the Year - Hong Kong  

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

Financial Times Asia-Pacific High-Growth Companies: #2 in ranking  

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

We offer a competitive salary package to the successful candidate. If you are interested in joining this exciting team, please apply with resume via the "Apply" button below.

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