We are seeking a driven and analytically-minded Data Analyst to join our Payments Merchants Portfolio Management team, as part of the Payments, Partnerships and Fintech Ecosystem Division. In this role, you will play a pivotal part in driving revenue growth by leveraging data-driven insights to optimise our existing customer base. Your expertise in data analysis and customer behavior will enable you to identify trends, develop targeted strategies, and implement actionable recommendations that maximise customer lifetime value and contribute to the company's bottom line. Responsibilities: -Customer Data Analysis:  -Deep dive into customer data to understand transactional patterns, engagement levels, and behavorial indicators. -Utilise statistical modeling and data mining techniques to identify opportunistic segments and potential upsell/cross-sell opportunities. -Revenue Optimisation Strategies:  -Develop and execute data-driven strategies to enhance customer retention, increase average order value, and promote product adoption. -Collaborate with marketing and sales teams to personalize customer experiences and tailor offers based on individual preferences and behaviors. -Performance Measurement and Reporting:  -Design and maintain comprehensive dashboards and reports that track key metrics related to customer revenue and profitability. -Regularly present findings and recommendations to senior management, highlighting the impact of your initiatives on revenue growth. -Continuous Improvement:  -Stay abreast of the latest trends in data analysis, customer relationship management, and revenue optimisation techniques. -Actively seek opportunities to automate processes and refine analytical models to improve efficiency and effectiveness. [Apply now at https://my.hiredly.com/jobs/jobs-malaysia-hong-leong-bank-berhad-job-senior-data-analyst-payments-partnerships-fintech-ecosystem] ; Requirements:- -Education: Bachelor's or Master's degree in Data Science, Statistics, Economics, or a related field. -Experience: [Number] years of experience as a Data Analyst, preferably with exposure to customer analytics and revenue optimization. -Technical Skills:  -Proficiency in SQL for data extraction and manipulation. -Advanced skills in MS Excel or Google Sheets -Strong expertise in statistical software packages such as R or Python. -Experience with data visualization tools like Tableau, Google Looker Studi or Power BI. -Other Skills:  -Excellent analytical and problem-solving abilities. -Strong communication and presentation skills, with the ability to convey complex insights to both technical and non-technical audiences. -Ability to work independently and collaboratively within a fast-paced environment.