Accommodations Revenue Optimizer

GTN_IDN PT Global Tiket Network; Indonesia; On-site; IDR 360,000,000 - 600,000,000; Full time

Job summary

tiket.com is seeking an experienced Revenue Analytics professional to drive data-driven pricing and revenue optimization across its OTA platform. You will apply predictive modeling and M L techniques to forecast revenue, refine customer segments, and guide pricing decisions for maximum ROI.

Join a growth-focused team, collaborate with product and marketing, and lead data-backed strategy with a strong emphasis on cross-functional partnerships and clear executive-level communication.

Qualifications

• At least 4 years of professional experience in a relevant role.
• Proven experience in Online Travel Agencies, e-commerce, or digital companies.
• Proficiency in using BigQuery and Looker for data analysis and reporting.
• Ability to manage and prioritize daily tasks while being goal-oriented.
• Excellent communication skills to manage stakeholders and present to senior leadership.
• Demonstrated ability to work collaboratively in a team environment.
• Excellent command of English and Indonesian, both written and spoken.
• Strong understanding of pricing strategies and revenue optimization techniques.
• Experience building pricing models or products and driving revenue improvements.

Responsibilities

• Drive data mining and analytics to identify trends and opportunities for optimizing accommodation revenue.
• Develop and implement revenue optimization strategies aligned with business goals.
• Use predictive modeling and ML to forecast revenue and optimize pricing and ad targeting.
• Oversee A/B testing to evaluate pricing strategies and promotional effectiveness.
• Collaborate with product, marketing, sales, and data teams to operationalize data-driven strategies.
• Monitor model performance and iterate to achieve optimal results.
• Present insights and strategic recommendations to senior leadership.

Skills

Data analytics

BigQuery

Pricing strategies

Predictive modeling

Machine learning

Stakeholder management

Communication

Team collaboration

English language

Indonesian language

Tools

Looker

A/B testing framework

Job description

tiket.com is seeking an experienced Revenue Analytics professional to drive data-driven pricing and revenue optimization across its OTA platform. You will apply predictive modeling and M L techniques to forecast revenue, refine customer segments, and guide pricing decisions for maximum ROI.

Join a growth-focused team, collaborate with product and marketing, and lead data-backed strategy with a strong emphasis on cross-functional partnerships and clear executive-level communication.