Key Responsibilities:
Strategic Leadership
- Define and drive the retail analytics strategy aligned with business goals and driven initiatives
- Lead the development of data-driven insights to support strategic decisions across retail banking products, partner channels, and customer segments.
- Collaborate with senior leadership to identify growth opportunities, optimize performance, and improve profitability.
Team & Capability Building
- Build and manage a high-performing retail analytics team, including data analysts, data scientists, and BI specialists.
- Foster a culture of data literacy and innovation.
- Mentor and develop team members to ensure continuous skill growth and succession planning.
MIS Reporting, Analytics Execution & Oversight
- Perform MIS reporting for daily/weekly/monthly and CsB regulatory reporting.
- Oversee the design and implementation of analytical models, dashboards, and reporting tools to monitor retail performance.
- Ensure the accuracy, integrity, and relevance of data used in decision-making.
- Lead customer segmentation, lifecycle analysis, and product/partner performance assessments.
- Provide analytic support for new product Initiatives/ campaign/partnership offers/incentive / sales schemes
- Be able to execute and provide guidance on statistical modelling for problem solving including but not limited to customer propensity, collection optimization, forecasting, etc,.
- Proven skills in translating advanced analytics output to actionable recommendation and delivery.
Cross-Functional Collaboration
- Partner with product, and operations teams to translate business needs into analytical solutions.
- Support product development, channel optimization, operation excellent/STP through actionable insights.
- Work closely with IT, data engineer and data governance teams to ensure data quality, data availability and compliance related.
Innovation & Continuous Improvement
- Stay abreast of emerging trends in AI, machine learning, and digital banking analytics.
- Champion the use of advanced analytics to personalize customer experiences and improve operational efficiency.
- Continuously evaluate and improve analytical methodologies and tools.
Governance & Compliance
- Ensure all analytics and reporting activities comply with regulatory requirements, data privacy laws, and internal policies.
- Establish and maintain data governance standards for retail analytics.
- Maintain data access in line with its intended purpose and with transparent accountability.
Job Specification:
- Degree in Accounting/Finance /Relevant to Business Analytics/Data Science
- Experience in banking & finance analytics
Technical/Functional skills
- Strong analytical skills with high attention to detail and accuracy
- Understanding of relational database and common statistical methods
- Hands on experience with programming tools and technologies such as: SQL, Python, R, SAS, Google Cloud Platform, etc,.
- Proficiency in data visualization and related tool such as Looker Studio, Power BI, etc.
- Proficient in Microsoft Office
- Writing and Communication skill
Personal skills
- Analytical and strong logical thinking capability.
- Self-disciplined; highly energetic and motivated.
- Committed and dedicated to grow with a progressive company.
- Responsible and takes initiative.
- Goal-oriented, self-disciplined, keen to learn and take challenges.
- Supportive and Collaborative
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