DATA ANALYST
RM 13,000 - RM 15,999 / Per Mon
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• 10 years of experience in Technology (Engineering, Design and Implementation of the applications / product in the Banking domain, preferably in Technology Resilience and Risk domain. • Dataiku is a MUST • Spark, Scala, Python • RDBMS, Bigdata / Hive SQL • Shell / Windows Scripts, Control M • Agile Methodology (User Stories, Epics, Tasks, effort estimation) • An industry-recognized Data Analyst certification is a plus • Proven experience as Data Analyst, and ability to conduct technology analysis, research, code-reviews, guidance to developers. • Highly motivated individual with a strong track record of achievement, leadership, and high-performance drive, especially with similar previous roles in Banking • Effective interpersonal skills, communication skills to articulate at different levels, aptitude for creative problem solving, drive innovation. • A team player and enjoy interacting with people of all levels in a multicultural environment. • Ability to work under constant pressure to tight deadlines and deliver high quality output. • Experience in Agile way of working. "• Good understanding of user behaviour, client experience to deliver business capabilities through a client centric, data driven digital journeys. • Accountable to ensure the required data quality management business intelligence layer parameters are set to me the business user’s needs. Design the user-friendly dashboards with high performing and accurate output to meet functional / non-functional business requirements.. Processes* • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Risk Management* • The resource should be able to manage risk and should be able to provide plans / ideas for mitigation. Governance* • Adhere governance and policy requirements. • Provide support to Management Team, Workstream Leads, Product Owners, Scrum Masters and development team to identify areas of improvement and to ensure that Data Analysis process follow the Bank’s NWOW standards, processes, and governance."
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