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Alliance Bank is seeking a Data Analyst for Campaign Analytics & Campaign Journeys to drive data-driven engagement across the customer lifecycle. You will work closely with Business, Analytics, Data Science and Technology teams to create highly personalized, predictive journeys and optimize campaigns.
Responsibilities include leading end-to-end journey management, advising on audience targeting and personalization, and delivering performance insights to senior management.
Play a key role in the transformation from traditional campaign management into always-on, event-triggered customer journeys, hyper personalization and advanced analytics-led decisioning.
Responsible for the design, optimization, and performance management of data-driven customer engagement strategies across the customer lifecycle. This role serves as the bridge between Business, Analytics, Data Science and Technology teams to ensure customer journeys are highly personalized, predictive, and outcome-focused.
Lead end-to-end customer journey and campaign management, from opportunity identification and stakeholder engagement through execution, tracking, fulfillment, and post-campaign analysis
Advise business stakeholders on target audience selection, contact strategies, personalization opportunities, and campaign optimization approaches.
Develop performance reporting and present actionable insights and recommendations to stakeholders and senior management
Any other adhoc tasks as per assigned by the management.
Bachelor's Degree in Statistics, Data Science, Mathematics, Economics, Business Analytics, Computer Science, Marketing, or related disciplines
3-6 years of experience in campaign analytics, CRM, customer engagement, decision management, marketing analytics, customer lifecycle management, or related fields
Advanced SQL, Python, R, SAS capabilities
Experience with campaign management, CRM, and journey orchestration platforms
Experience with visualization and reporting tools such as Power BI, Tableau, or similar
Strong understanding of customer lifecycle management and decisioning frameworks