Our client is Malaysia's first digital bank driven by their shared purpose and passion to bring positive transformation to the financial industry. They hold a digital bank license from Bank Negara Malaysia and is a member of PIDM.

Job Responsibilities:

• Solve key business problems through using an appropriate mix of strategic thinking and computational methods.
• Develop cross-domain and cross-functional knowledge about the business, products and operations through working with vast volumes of data.
• Lead collaboration between cross-functional teams from multiple lines of business (LOBs) to conduct requirement gathering and perform comprehensive data mapping specifications.
• Collaborate with business stakeholders to define key performance indicators (KPI) and reporting metrics.
• Drive communication and engagement between business stakeholders and technical project team, to align technical solutions to business expectations.
• Oversee and lead data mapping, internal analytics and analytical data mart maintenance to support data-driven decision making.
• Lead identification and resolution of data-related issues promptly, by conducting thorough investigations and clarifications.
• Define and document data elements, to ensure consistent terminology and enable self- explanatory data fields.
• Develop and uphold best practices with respect to change management, documentation and data protocols.
• Provide mentorship and be a role model for junior data analysts, by offering guidance, sharing knowledge and expertise on technical and non-technical aspects related to data analysis.
• Cultivate a collaborative and growth-focused team environment, as a senior member of the data team.

Job Requirements:

• Bachelors degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or related technical field.
• At least 3-4 years of hands-on experience in data analysis, data mapping and data management within a data warehouse, data lake, or BI solution environment.
• Proficient with SQL, Python and data modelling concepts (e.g. dimensional modelling).
• Cognizant of agile DevOps processes, coding best practices and performance tuning.
• Good understanding of performance, scalability and reliability concepts.
• Experience with data visualization tools and techniques, e.g. Tableau, PowerBI or similar BI tools.
• Strong problem solver, able to investigate and resolve issues independently.
• Strong analytical mindset. Meticulous with high attention to detail.
• Able to work under pressure and deliver workarounds quickly to ensure business as usual.