Development and execution of marketing campaigns & event triggers to support customer acquisition, cross & upselling and account activation goals within the Consumer Banking business.
Support performance monitoring, research initiatives, quality improvement projects and data submissions through accurate data extraction, validation and analysis.
Ensure the delivery of high-quality end to end analytics solution such as deep-dive data analysis, and timely provision of accurate information to AIC colleagues and external stakeholders.
Champion a Data-First Culture through Upskilling: You will organize regular workshops to elevate the data literacy of our brand marketing teams. This involves coordinating the agenda, briefing internal and external speakers, and presenting your own analyses on O+O campaign effectiveness, competitor best practices, and emerging trends.
Knowledge Sharing & Training: Support the rollout of internal training initiatives (such as digital upskilling programs) and help document best practices to share with the broader team.
Develop concrete business development plans, including but not limited to customer acquisition, cross-selling, up-selling, and retention programs, to nurture high-potential and high-value customer segments through targeted acquisition, development, and consolidation strategies
Develop predictive and forecasting capability that enables Product Owners and senior leadership to anticipate and address challenges proactively rather than responding after the fact.
Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks or issues, and timelines for successful client outcomes.
Develop predictive and forecasting capability that enables Product Owners and senior leadership to anticipate and address challenges proactively rather than responding after the fact.
Carry out both reactive and proactive data analysis of large datasets using a wide range of technologies, database management systems, business information reporting and visualisation software
Collaborate with cross-functional stakeholders (product, engineering, operations, and security teams) to translate analytical findings into business strategies and product improvements.
Design, develop, and build data analytics and AI solutions with the following key technologies: Python web frameworks (Flask, FastAPI), Apache Spark, Oracle database and Linux.
Develop predictive and forecasting capability that enables Product Owners and senior leadership to anticipate and address challenges proactively rather than responding after the fact.