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Please Note

  • An estimate based on public data for similar roles. Not provided by the employer.

CBS - BUSINESS ANALYTICS MANAGER

Philippines Metrobank Estimated salary: PHP 100,000–PHP 180,000 per month
Role summary

Written by MyIslandJob from the job title and employer. See the employer's page for the full description.

The role typically requires a bachelor’s degree in business, economics, statistics, mathematics, information technology, or a related field, with several years of experience in business analytics, reporting, customer insights, or banking. Strong skills in data interpretation, dashboard development, SQL, Excel, and business intelligence tools are expected; experience with Python, R, or advanced analytics is an advantage. The candidate should be able to translate complex data into practical recommendations, manage analytics projects, work with cross-functional teams, and present findings clearly to senior stakeholders. Knowledge of consumer banking products, customer behavior, performance measurement, and data governance would be valuable. The position also calls for leadership, sound judgment, attention to detail, and a strong commercial mindset.

About the employer

Metropolitan Bank & Trust Company, commonly known as Metrobank, is one of the Philippines’ largest universal banks. Established in 1962, it provides a broad range of services for individuals, businesses, corporations, and institutional clients. Its offerings include deposits, consumer loans, credit cards, payments, treasury services, investment banking, wealth management, and corporate lending. Metrobank operates through branches, digital channels, ATMs, and business banking platforms across the country, serving both local and international customers. The bank is part of the Metrobank Group, which has interests in financial services and related businesses. As a major Philippine employer, Metrobank hires professionals in banking operations, technology, analytics, risk, finance, sales, and customer service. Its business analytics teams support data-driven decision-making, customer understanding, operational improvement, and growth across the bank.

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