The Senior Specialist, GCBB Customer Analytics & Insights will play a pivotal role in leveraging data to drive strategic decisions within Group Corporate & Commercial Banking (GCBB) division.

This role involves developing and implementing analytics solutions to understand customer behavior, identify growth opportunities, and optimize product and service offerings.

Responsibilities:

• Drive customer portfolio analytics initiatives and translate insights into actionable campaign opportunities and business strategies.
• Provide analytical support, data and reporting, and performance monitoring for business portfolio management.
• Lead data automation, reporting enhancement, and process improvement initiatives to increase operational efficiency.
• Analyze large and complex datasets to identify customer insights, business opportunities, and growth drivers.
• Develop and maintain dashboards, management reports, and performance monitoring tools to support decision-making.
• Collaborate with IT and Data Engineering teams to enhance data quality, database capabilities, automation, and data enrichment processes.
• Monitor and analyze key business metrics, including customer acquisition, retention, engagement, portfolio performance, and campaign fulfilment.
• Partner with business stakeholders to understand requirements and translate them into data-driven analytics solutions.
• Apply advanced analytics, statistical techniques, and machine learning models to address business challenges and improve outcomes.
• Provide guidance and mentorship to junior analysts while fostering a strong data-driven culture within the organization.
• Present analytical findings and recommendations to stakeholders and management in a clear and impactful manner.

Requirements:

• Bachelor's or Master's degree in a quantitative discipline such as Statistics, Data Science, Business Analytics, Decision Science, Computer Science, or a related field.
• Minimum 5-7 years of relevant experience in portfolio analytics, customer analytics, MIS, campaign analytics, business intelligence, or data management, preferably within the banking or financial services industry.
• Strong technical proficiency in SAS, SQL, and Python for data extraction, transformation, analysis, and modeling.
• Hands-on experience with data visualization and reporting tools such as Power BI, Cognos, Quick BI, or equivalent platforms.
• Good understanding of SME, Commercial, and Corporate Banking products, customer segments, and business processes.
• Strong analytical, problem-solving, and critical-thinking skills with the ability to derive actionable business insights from complex datasets.
• Strong team player with the ability to collaborate across business, technology, and data teams to deliver data-driven solutions.
• Effective data storytelling, presentation, and stakeholder management skills, with the ability to communicate insights to both technical and non-technical audiences.
• Experience in statistical analysis, predictive modeling, machine learning, and data mining techniques.
• Self-motivated, proactive, and capable of managing multiple priorities in a fast-paced, dynamic environment.
• Exposure to Big Data technologies and platforms such as Hadoop, Spark, EDL, or cloud-based analytics environments will be an added advantage.