Market Intelligence Analyst

  • West Jakarta, Kebon Jeruk, West Jakarta City, Jakarta, Indonesia
  • Full-time

Company Description

Airyrooms.com was established in the middle of 2015 with the mission to build the best customer-centric services and to disrupt conventional hospitality industry by using technology. We are one of the fastest-growing online hospitality services in Indonesia and are currently the leading online hotel aggregator in the market. Our solutions span from hotel management to IT solutions mainly for our clients in the hospitality industry.

Job Description

  • Market research - Design and manage execution excellence of Customer Insights and Market Research projects. Develop market analysis to deliver insights regarding market trends and customer.
  • Data wrangling - Provide leadership in data gathering-to-maintenance of Commercial Team to drive insights that can be impactful for business growth and better tailored commercial campaigns/ activities.
  • Automation - Automate tasks or processes using technical approach for efficiency and scalability, build a technical platform for Commercial Team.
  • Competitiveness monitoring - Direct efforts to collect competitive information including pricing, ongoing promotions and exclusives fares. Maintain and improve the existing system. Evaluate and report competitive threats from existing and new players periodically.

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Statistics or Engineering with proven good records
  • Fresh-graduate are welcome to apply
  • Strong sense of business and market trend
  • Strong analytical skills and data driven
  • Excellent number crunching skills
  • Fast learner, self-starter with a solution oriented approach to challenges
  • Ability to work independently and cooperatively within complex and fast-paced environment; collaborative, enjoy working in teams and cross division

Technical Qualifications :

  • Fluent in SQL.
  • Strong experience with Python, R, Google Script.
  • Passionate about DataScience and Big Data.
  • Familiar with API and web scraping.
  • Familiar with BI tools (tableau, Power BI).