Pricing & Revenue Analyst - Travel Retail

LOTTE TRAVEL RETAIL SINGAPORE PTE. LTD.; Singapore; On-site; SGD 65,000 - 90,000; Full time

Benefits offered by this job

Annual leave 14–18 days

Medical insurance

Group hospitalization

Group dental

Performance bonus

Birthday leave

Job summary

LOTTE Travel Retail Singapore PTE. LTD. is seeking a Pricing Analyst to analyze pricing strategies and develop models to optimize revenue.

The role involves handling pricing data, market analysis, and cross-functional collaboration to implement pricing initiatives. The ideal candidate will have a Bachelor's degree in business-related fields, 2+ years in pricing analysis, and advanced Excel skills for data modeling and scenario analysis.

Qualifications

• Strong analytical mindset with ability to work with large data sets.
• Proficient in data analysis and modeling techniques.
• Excellent communication and presentation skills; ability to summarize insights.

Responsibilities

• Develop and maintain pricing data from audits, vendor data, and price checks.
• Analyze pricing data and present insights to Senior Management and stakeholders.
• Monitor market and competitor pricing; ensure compliance with pricing commitments.
• Communicate with landlords on pricing submissions and justify Lowest Price Policy exceptions.
• Identify pricing gaps across LOTTE Duty Free and other airports.
• Develop pricing models to optimize product pricing.
• Collaborate with cross-functional teams to implement pricing strategies.
• Review pricing monthly and adjust based on market conditions.

Skills

Analytical thinking

Data analysis

Communication

Presentation

Attention to detail

Problem solving

Education

Bachelor's degree in Business/Finance/Economics or related field

Tools

Excel (Pivot, VLOOKUP)

Job description

LOTTE Travel Retail Singapore PTE. LTD. is seeking a Pricing Analyst to analyze pricing strategies and develop models to optimize revenue.

The role involves handling pricing data, market analysis, and cross-functional collaboration to implement pricing initiatives. The ideal candidate will have a Bachelor's degree in business-related fields, 2+ years in pricing analysis, and advanced Excel skills for data modeling and scenario analysis.