Senior Business Analyst, Advanced Analytics Solution - Consumer & SME, Group Data & Analytics, [...]

Maybank; Kuala Lumpur; On-site; MYR 250,000 - 350,000; Full time

Job summary

A leading financial services provider in Kuala Lumpur seeks a Vice President of Analytics to drive customer-centric growth by embedding advanced analytics into decision-making. The role involves engaging cross-functional teams, managing stakeholder expectations, and innovating analytics solutions to ensure measurable business impact. The ideal candidate has extensive experience in analytics and a Master’s degree in a relevant field.

Qualifications

• Extensive experience in analytics or strategy roles, ideally in banking or consumer industries.
• Proven leadership in engaging stakeholders and delivering measurable business impact.
• Technical expertise in customer analytics and familiarity with advanced data platforms.

Responsibilities

• Partner with leaders to translate business priorities into analytical initiatives.
• Work with cross-functional teams to deliver impactful analytics solutions.
• Establish mechanisms to measure and improve outcomes.

Skills

Customer analytics

Data science

Strategic thinking

Collaboration skills

Communication

Problem-solving

Innovation mindset

Education

Master’s degree in Business, Statistics, or Data Science

Tools

CRM platforms

Advanced analytics techniques

Digital marketing tools

Job description

We are seeking a dynamic Vice President of Analytics to lead the consumer business analytics agenda within the Regional Data Office. This role is pivotal in driving customer-centric growth by embedding advanced analytics into decision-making and execution. The VP will shape insights across pricing strategy, product optimization, portfolio management, channel performance, and customer value. By fostering a culture of experimentation, driving execution effectiveness, and embedding measurement frameworks, this leader will ensure analytics deliver tangible business outcomes.

Key Responsibilities

• Engage & Align: Partner with Group Consumer Financial Services (GCFS) leaders to identify business priorities and translate them into measurable analytical initiatives.
• Collaborate Cross-Functionally: Work with product, marketing, CRM, data science, and channel teams to deliver practical and impactful analytics solutions.
• Drive Insights & Experimentation: Champion a test-and-learn culture (A/B testing, experimentation), delivering insights in pricing, product portfolio, campaigns, and customer value management.
• Measure & Improve: Establish tracking mechanisms, embed feedback loops, and refine models to ensure analytics drive tangible outcomes.
• Scale Across Markets: Build scalable, reusable models and best practices, ensuring consistency while enabling local market relevance.
• Innovate: Stay ahead of emerging analytics trends, introduce new frameworks, and pilot solutions that unlock growth and efficiency.
• Lead & Influence: Manage stakeholder expectations, provide thought leadership, and promote a culture of data-driven decision-making.

Key Requirements

• Extensive experience in analytics, data science, or strategy roles, ideally within banking/financial services or consumer-focused industries.
• Proven leadership with the ability to engage senior stakeholders, influence strategic priorities, and deliver measurable business impact (e.g., revenue uplift, improved retention, higher conversion).
• Technical expertise in customer analytics, CRM, A/B testing, growth measurement frameworks, and familiarity with advanced analytics techniques, data platforms, and digital marketing tools.
• Strategic mindset to align analytics initiatives with business objectives, embed customer-centric approaches, and drive adoption of data-driven decision-making.
• Collaboration skills with a track record of managing cross-functional teams and thriving in complex, matrixed organizations.
• Innovation & experimentation mindset, fostering a test-and-learn culture, driving continuous improvement, and embedding feedback loops into business execution.
• Strong communication and problem-solving skills, with the ability to present insights clearly and persuasively to diverse stakeholders.
• Education: Master’s degree in Business, Statistics, Data Science, or a related field (preferred).