Accommodation Revenue Management Specialist

Your main duties in flying with us:

• Drive data mining and advanced analytics from company databases to identify trends, opportunities, and actionable insights for optimizing accommodation revenue.
• Develop and implement revenue optimization strategies that align with business objectives and market dynamics.
• Leverage predictive modeling, machine learning, and statistical techniques to forecast revenue, enhance customer segmentation, optimize pricing strategies, and improve ad targeting for maximum ROI.
• Continuously refine and validate models to ensure high accuracy and relevance in dynamic market conditions.
• Oversee the development and evolution of the company’s A/B testing framework to evaluate pricing strategies, customer behaviors, and promotional effectiveness.
• Ensure robust methodologies for testing model quality and experiment outcomes to drive data-backed decision-making.
• Partner with key stakeholders across product, marketing, sales, and data teams to operationalize data-driven strategies and predictive models.
• Monitor the performance of implemented models and strategies, iterating as needed to achieve optimal results.
• Analyze competitive benchmarks, market trends, and historical data to lead to revenue optimization
• Present data insights and strategic recommendations to senior leadership, supporting high-level decision-making with clear, actionable proposals.
• Stay updated with the latest tools, technologies, and best practices in revenue management, data analytics, and machine learning.

Mandatory belongings that you must prepare:

• At least 4 years of professional experience in a relevant role.
• Proven experience working in Online Travel Agencies (OTA), 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, with a strong ability to manage stakeholders and present effectively to senior leadership.
• Demonstrated ability to work collaboratively in a team environment.
• Excellent command of English & Indonesia language, both written and spoken