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.