全职 Associate Director, Data - AI 工作, 薪水, BInfinite Federal Territory 公司招聘中 - Ricebowl

About BInfinite

Since 2010, BInfinite has been helping leading brands across Malaysia build stronger customer relationships through loyalty, rewards, payments, and engagement solutions. Today, we're embarking on an exciting new phase of growth and transformation, we are reimagining loyalty beyond points and rewards by combining technology, data, AI, and innovation to create meaningful customer experiences that drive real business outcomes. This is a unique opportunity to join us at a pivotal stage of growth and transformation. You'll work alongside passionate, entrepreneurial people, contribute to impactful products, and help shape the future of customer engagement in Malaysia

We're not just building loyalty programmes, we are building the future of customer engagement.

About the Role

We are looking for a hands-on and commercially driven individuals to lead the application of data analytics, business intelligence and AI-driven solutions across Binfinite. The role is responsible for transforming business, customer and transaction data into actionable insights that support strategic decisions, revenue growth, customer engagement and operational improvements.

Beyond reporting and analysis, the individual is expected to proactively identify business opportunities, recommend solutions and drive practical adoption of analytics, automation and AI capabilities.

• Develop and maintain dashboards, management reports and KPI tracking to provide visibility into business performance.
• Analyse revenue, customer transactions, points issuance and redemption, merchant performance and campaign effectiveness
• Identify business trends, performance gaps, risks and growth opportunities.
• Translate data findings into clear recommendations for management and business teams.
• Support financial, commercial and operational analysis for strategic business decisions.

Customer & Commercial Analytics

• Analyse customer behaviour, transaction patterns, engagement, retention and loyalty performance.
• Develop customer segmentation and targeting strategies to improve campaign effectiveness and commercial outcomes.
• Identify opportunities for customer acquisition, reactivation, cross-selling and retention.
• Evaluate merchant and partner performance to identify opportunities for revenue growth and improved engagement.
• Work with Commercial and Marketing teams to measure campaign ROI and optimise business performance.

AI Enablement & Automation

• Identify practical AI and automation opportunities across business functions.
• Explore and evaluate AI solutions for customer analytics, predictive insights, campaign optimisation and operational efficiency.
• Develop proof-of-concepts or pilot initiatives that demonstrate measurable business value.
• Drive automation of recurring reports, data processes and manual workflows.
• Collaborate with Technology and business teams to implement scalable and cost-effective AI solutions.
• Monitor the effectiveness, reliability and business impact of implemented AI initiatives.

Product & Business Strategy Support

• Provide data-driven insights to support product development, enhancement and commercialisation.
• Analyse product adoption, feature usage and customer behaviour to identify improvement opportunities.
• Support business cases, pricing analysis and evaluation of new business initiatives.
• Conduct market, competitor and industry analysis to identify emerging opportunities.
• Work with Product and Commercial teams to validate business assumptions and evaluate initiative performance.

Data Quality & Governance

• Ensure data used for reporting and business analysis is accurate, consistent and reliable.
• Establish standard KPI definitions, reporting methodologies and data validation practices.
• Identify data gaps and recommend improvements to data collection, accessibility and reporting.
• Collaborate with Technology to improve data integration and availability.
• Ensure responsible use of customer data, including appropriate privacy, security and access controls.

Requirements

• Experience working with customer, transaction, product or commercial performance data.
• Good understanding of data modelling, reporting automation and analytical methodologies.
• Practical understanding of AI, machine learning and automation tools, with the ability to identify and apply suitable solutions.
• Strong analytical thinking and problem-solving capabilities.
• Ability to translate complex data into meaningful commercial recommendations.
• Strong stakeholder management, communication and presentation skills.
• Comfortable working independently in a lean and fast-changing organisation.

Additional Experience

• Experience in loyalty, fintech, retail, e-commerce, CRM or customer analytics.
• Experience in customer segmentation, predictive modelling, campaign analytics or personalisation.
• Hands-on experience with similar analytical tools.
• Experience implementing AI-powered workflows, analytics solutions or business process automation.
• Experience supporting product strategy, revenue optimisation or commercial planning.