Billease is at the forefront of revolutionizing way Pinoys are paying, offering a suite of financial products that cater to the modern shoppers needs. From personal loans and e-wallet top-ups to gaming credits and our flexible Buy Now, Pay Later options, we make financial services accessible, easy, and convenient for everyone.

At Billease, we believe in the magic of data-driven campaigns to create unforgettable customer experiences. We are looking for a Campaign Analyst aka Magician to join our team and help us enchant our customers at every stage of their journey.

Team: Lifecycle Analytics

Location: Philippines | Remote

The Campaign Analyst plays a central role in designing, executing, and optimizing lifecycle campaigns across our channels (in-app, email, push, SMS, Viber etc). You will own the end-to-end performance analysis of targeted campaigns, focusing on:

• Conversion optimization
• Customer retention and engagement
• Lifecycle journey orchestration
• Revenue measurement and contribution

This role combines the art of creativity with the science of data analysis, CRM automation, and marketing, translating insights into high-performing campaigns that drive real business results.

Key responsibilities:

Campaign analytics & insights

• Analyze user behavior and campaign response across all funnels (acquisition, activation, reactivation, repayment, upsell).
• Build dashboards and campaign evaluation frameworks to monitor LTV, conversion, engagement, churn, and revenue impact.
• Perform cohort analysis, A/B testing and event-based behavior tracking.

Segmentation & personalization

• Prepare audience segmentation strategies for our campaigns, using behavioral, transactional, and demographic data.
• Identify high-value user groups (e.g., dormant, high-spending, early churn risk) and propose targeted interventions.

Lifecycle optimization

• Define and optimize multi-step journeys for onboarding, activation, cross-sell, retention, and upsell flows.
• Collaborate with Campaign Managers to create flows based on business logic.
• Recommend timing, frequency, and channel mix adjustments to improve relevance and reduce fatigue.

Testing & Experimentation

• Plan and execute A/B, multivariate, and holdout experiments for campaign optimization.
• Prepare campaigns analysis, calculating conversion and customer value from campaign experiments, including segment-level and core / control groups effectiveness.

Cross-functional Collaboration

• Partner with Marketing, Product, and Data Engineering teams to integrate campaign insights into product strategy and roadmap.
• Support business cases for new CRM experiments and conversion-driving initiatives.

Qualifications:

• Bachelor's degree in Data Analytics, Economics, Applied Mathematics, Computer Science or a related field.
• 3+ years of experience in marketing analytics, customer analytics, CRM strategy or advance data anlytics field.
• Strong SQL and Excel skills; familiarity with Python, R, Looker is a plus.
• Experience analyzing funnels, LTV, churn, and customer journey stages.
• Familiarity with statistical testing methods (e.g., A/B, lift, significance testing).
• Excellent communication skills; able to convey complex findings in a business-friendly format.
• Highly curious, self-driven, and passionate about making decisions backed by data.