Data Analyst - Banking - Finance

About us

As a proud member of the Ascentium Group, we stand at the forefront of innovation in Human Capital Solutions. With a forward-thinking mindset, we deliver a tailored suite of services that empower our clients to thrive in today’s fast-changing business landscape.

An exceptional opportunity has arisen for an innovative and strategic HR professional to assume a prominent position that will significantly enhance the HR function and oversee activities throughout the entire group.

Job Description

Our client is a multinational bank with all-rounded financial operations at its prime within the APAC region. They are looking for a motivated and detail-oriented Data Analyst to support their Business Finance Department in a dynamic banking environment.

Key Responsibilities:

• Support the finance department with various data projects, ensuring accurate and timely delivery of insights
• Engage in end-to-end project planning, development, and design to meet the project objectives
• Transfer and transform data from SQL to Python, ensuring efficient data processing and analysis
• Collaborate with team members in a fast-paced environment to deliver high-quality results
• Perform data massage and cleaning to prepare datasets for new data platform development
• Demonstrate a positive attitude towards learning and adapting to new technologies and methodologies

Key requirements::

• Degree holder in Information System, Statistics, Data Science or related disciplines
• 6 - 8 years of experience in a data analysis role
• Proficiency in both SQL and Python; experience in data transformation is essential
• Strong analytical mindset with the ability to interpret complex datasets
• Experience in dashboard creation is advantageous
• Proficiency in both English and Chinese (Cantonese & Mandarin)
• Open to candidates without a banking background
• Willingness to learn about the finance industry is essential
• Excellent communication skills and ability to work collaboratively in a team

Interested parties please send your application with full career history, current and expected salary by clicking Apply Now button. Applications will be treated in strict confidence. Personal data collected will be used for recruitment purposes only.