Commercial & Pricing Analyst

New
China. Singapore. India. Indonesia. Philippines; open to candidates based in or comfortable working within APAC time zones., APAC time zonesFull-TimeMiddle
Salary not disclosed
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Job Details

Languages
English proficiency at B2 (Upper-Intermediate) level or higher (both spoken and written).
Experience
1–3 years of experience in analytics, pricing, revenue management, commercial analytics, or related functions.
Required Skills
SQLData AnalysisMicrosoft Excel

Requirements

  • Have 1–3 years of experience in analytics, pricing, revenue management, commercial analytics, or a related function.
  • Have English proficiency at B2 (Upper-Intermediate) level or higher, spoken and written.
  • Bring strong analytical skills, including the ability to work with multiple metrics and analytical tools.
  • Understand the business processes behind data and identify root causes of changes.
  • Have advanced Excel skills, including cubes, pivot tables, complex formulas, and charts.
  • Have basic SQL skills, including reading and modifying existing queries and writing simple queries to extract data from multiple tables.
  • Have experience working with large datasets and demonstrate attention to detail and structured thinking.
  • B2B travel pricing experience for partners, excluding hotel pricing, is highly desirable.
  • Experience with BI tools is a plus.

Responsibilities

  • Monitor daily sales dynamics across segments, including brands, countries, suppliers, company partners, and business lines.
  • Analyze multiple core metrics together to assess performance.
  • Work with large datasets and identify business events and changes behind trends.
  • Investigate business processes and root causes of metric changes.
  • Develop solutions intended to improve trends within existing pricing models.
  • Collaborate with teams to implement decisions, justify proposed measures, build action plans, and monitor results.
  • Present results using charts and numbers.
  • Communicate with the commercial team, gather market feedback, and summarize information.
  • Check data quality and verify suspicious or potentially inaccurate information with related teams.
  • Process requests about competitor price discrepancies, verify data, make pricing decisions, and issue discounts.
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