Executive Data Analyst, Campaign Analytics & Customer Journey

Alliance Bank Malaysia Berhad; Kuala Lumpur; On-site; MYR 90,000 - 150,000; Full time

Job summary

Alliance Bank Malaysia Berhad is seeking a data-driven Campaign Analytics Specialist to transform traditional campaign management into always-on, event-triggered customer journeys. You will bridge Business, Analytics, Data Science and Technology to ensure personalized, predictive customer experiences across the lifecycle.

The role requires advanced SQL, Python, R, and SAS skills, with hands-on experience in CRM, journey orchestration platforms, and data visualization tools like Power BI or

Qualifications

• 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.

Responsibilities

• 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.
• 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.

Skills

SQL

Python

R

SAS

Campaign analytics

Education

Bachelor’s Degree in Statistics/ Data Science/ Mathematics/ Economics/ Business Analytics/ Computer Science/ Marketing

Tools

Power BI

Tableau

Job description

Alliance Bank Malaysia Berhad and its subsidiaries, Alliance Investment Bank Berhad and Alliance Islamic Bank Berhad, is a dynamic, integrated financial services group offering banking and financial solutions through its consumer banking, SME banking, corporate and commercial banking, Islamic banking, investment banking and stockbroking businesses.

Job Description:

• 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.

Job Requirement:

• 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.