Solutions & Analytics Analyst (Pricing)

Opportunity

What you’ll do

• Develop scripts, prototypes, analytical tools, and automation to improve pricing processes, system functionality, and efficiency.
• Gather business requirements with Pricing and Revenue Management teams and translate challenges into technical solutions.
• Support development, testing, implementation, and improvement of pricing and Revenue Management systems.
• Work with vendors on enhancements, technical issues, and new system capabilities.
• Investigate system issues, troubleshoot problems, and coordinate fixes.
• Analyze operational data, system performance, and pricing activities to identify improvement opportunities.
• Build and maintain reports, dashboards, and analytical models for decisions and performance monitoring.
• Explore AI, advanced analytics, and emerging technologies to improve solutions and automate processes.
• Coordinate user acceptance testing, enhancements, and releases; support users through guidance, documentation, and training.
• Collaborate with Revenue Management, Pricing, Technology, Digital, and commercial stakeholders.

What you’ll bring

• Bachelor’s degree in Computer Science, Engineering, Statistics, Operations Research, Business Analytics, Economics, or a related discipline, or equivalent capability.
• Hands-on programming, scripting, data analysis, or technical solution development experience; Python, SQL, or R are examples.
• Experience developing or supporting analytical models, dashboards, automation tools, prototypes, or business applications.
• Strong analytical and problem-solving ability, including investigating issues and translating findings into practical solutions.
• Ability to work directly with code and data and collaborate with users, technology teams, and vendors.
• Strong communication skills for explaining technical concepts to nontechnical stakeholders.
• Proactive, collaborative approach with attention to detail, ownership, and willingness to learn.

Advantageous experience

• Experience with AI, machine learning, or advanced analytics; familiarity with Power BI, Tableau, Databricks, cloud data platforms, or similar tools is welcomed.
• Enterprise application support, testing, troubleshooting, user support, and vendor coordination experience is advantageous.
• Airline Revenue Management, pricing, fare management, forecasting, or optimization exposure is advantageous.
• Familiarity with Airnguru, ATPCO, PROS, or Amadeus pricing platforms is advantageous.
• Understanding of agile delivery, change management, and continuous process improvement is advantageous.

Recruitment process

• Applications are reviewed by the Recruitment Team. Shortlisted applicants complete an AI-led video interview reviewed by a human recruiter, followed by a technical interview; finalists present a related business case.
• Application closing date is midnight on 28 October 2026.