Welcome to Bukit Vista
As a Business Data Scientist, your primary responsibility will be to leverage data analytics and statistical modeling techniques to identify and implement revenue generation opportunities across our vacation rental business in Bali. You will play a pivotal role in analyzing large datasets, uncovering insights, and developing data-driven strategies to optimize pricing, occupancy rates, and guest satisfaction.
What will you do:
- Data Analysis: Conduct in-depth analysis of large datasets related to guest behavior, property performance, market trends, and revenue metrics to identify patterns, trends, and opportunities for improvement.
- Revenue Optimization: Develop predictive models and algorithms to optimize pricing strategies, demand forecasting, and inventory management, ensuring maximum revenue generation for property owners and the company.
- Market Research: Stay up-to-date with industry trends, market dynamics, and competitor analysis to identify new revenue streams, emerging markets, and innovative business opportunities.
- Pricing Strategies: Collaborate with cross-functional teams, including marketing and sales, to develop pricing strategies that balance guest demand, market conditions, and profitability goals.
- Performance Tracking: Monitor key performance indicators (KPIs) such as occupancy rates, average daily rates, and revenue per available room (RevPAR) to assess the effectiveness of revenue generation initiatives and identify areas for improvement.
- A/B Testing: Design and implement A/B tests to evaluate the impact of pricing experiments, promotional offers, and other revenue optimization initiatives, and provide actionable insights for continuous improvement.
- Reporting and Visualization: Create comprehensive reports, dashboards, and visualizations to communicate insights and recommendations to stakeholders, including senior management, property owners, and marketing teams.
- Collaboration: Work closely with cross-functional teams to drive data initiatives, align revenue generation strategies with business objectives, and support decision-making processes with accurate and timely data-driven insights.
- Data Integrity and Privacy: Ensure data accuracy, integrity, and compliance with privacy regulations by implementing robust data management and governance practices.
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Advanced degree preferred.
- Proven experience as a Data Scientist or similar role, preferably in the hospitality, travel, or vacation rental industry.
- Strong analytical and problem-solving skills, with expertise in statistical modeling, machine learning, and data visualization techniques.
- Proficiency in programming languages such as Python, R, or SQL, and experience with data manipulation and analysis using tools like pandas, NumPy, or Tableau.
- Solid understanding of revenue management concepts, pricing strategies, and market dynamics.
- Excellent communication skills with the ability to present complex data-driven insights to non-technical stakeholders effectively.
- Strong business acumen and the ability to translate data insights into actionable strategies and recommendations.
- Detail-oriented with a passion for accuracy and data integrity.
- Proactive, self-motivated, and able to work independently as well as part of a collaborative team.
- Your role entails operations leadership. Learn more about it here.
What is it like to work at Bukit Vista?
Let’s hear what our interns and employees say about it.
Bukit Vista Interns Transformation
Let’s explore the career progression of our former interns
Data Science Instructor, Algoritma Data Science School
Remote Researcher, Virginia Tech
Data Analyst, LOKET
Data Analyst, J&T Cargo (PT Global Jet Cargo)
Regional Fraud Analyst, Daraz
Data Scientist, PT. Indosat Tbk
Feel that you might be the right talent we’re looking for?
Send over your application form by clicking the apply button below! Make sure that your CV is updated and the application form is in English, submitting a LinkedIn profile or past projects would be a plus! Last but not least, we like candidates that are passionate about hospitality, interested in technology, and enjoy a fun workspace with lots of collaboration.