Data‑Driven Loyalty Growth Manager

Traveloka; Jakarta Pusat; On-site; IDR 350,000,000 - 550,000,000; Full time

Job summary

Traveloka is seeking a data-driven Growth Marketing professional to lead lifecycle engagement across acquisition, activation, retention, and reactivation. You will design and optimize incentive programs, leverage CRM and analytics to maximize CLV, and collaborate with product, data, marketing, and finance teams to scale regional loyalty initiatives.

The role focuses on building scalable loyalty mechanisms, running experiments, and translating insights into measurable program profitability and

Qualifications

• 3–5 years in growth marketing, loyalty/CRM, product, or revenue roles.
• Experience with data-driven campaigns and KPIs (CAC, CLV, retention).
• Experience designing incentive mechanics and measuring impact.

Responsibilities

• Design engagement strategies across user lifecycles from acquisition to churn.
• Develop and refine incentive mechanics (bonuses, referrals, tiers).
• Use segmentation to tailor incentives, messaging, and journeys.
• Build win-back and reactivation campaigns to reduce churn.
• Launch and optimize campaigns across channels with strong merchandizing.
• Design and run A/B tests; model impact on CAC, CLV, churn, repeat usage.
• Track KPIs and report insights to stakeholders.
• Collaborate with Product, Data, CRM, Marketing, Finance, and Legal.

Skills

Growth marketing

Loyalty/CRM

Product management

Data analytics

Segmentation

A/B testing

Education

Bachelor's degree in Business, Economics, Engineering

MBA (plus)

Tools

SQL

Tableau

Google Analytics

Excel

Job description

Traveloka is seeking a data-driven Growth Marketing professional to lead lifecycle engagement across acquisition, activation, retention, and reactivation. You will design and optimize incentive programs, leverage CRM and analytics to maximize CLV, and collaborate with product, data, marketing, and finance teams to scale regional loyalty initiatives.

The role focuses on building scalable loyalty mechanisms, running experiments, and translating insights into measurable program profitability and