Trading, Pricing & Revenue Management Analyst - Live Events

Sales Analysis

• Develop and maintain ad-hoc sales dashboards and reporting tools.
• Monitor sales performance across different business units and products.
• Analyse results versus budget and previous year performance.
• Partner with Data and Analytics teams to support sales forecasting and milestone-based projections.
• Ensure reporting accuracy and timely performance visibility for stakeholders.

Marketing Performance & Efficiency

• Analyse traffic, sales and conversion performance across acquisition channels.
• Evaluate marketing investment efficiency through metrics such as CAC and ROAS.
• Identify and propose new KPIs that demonstrate a strong correlation with sales performance.
• Support optimisation of marketing mix decisions through data-driven recommendations.

Pricing & Revenue Management

• Support the design and implementation of pricing and revenue management strategies.
• Evaluate pricing scenarios and their impact on conversion and revenue.
• Analyse ticket tiers, product pricing structures and customer purchasing behaviour.
• Coordinate and project-manage pricing initiatives across the business.

Data, Finance & Business Alignment

• Collaborate with Finance teams to ensure alignment between forecasts, budgets and business performance.
• Work closely with Data teams to maintain data quality and reporting consistency.
• Contribute to the development of dashboards, reporting frameworks and analytical capabilities.
• Coordinate with AI and analytical teams to improve decision-making processes and business intelligence tools.

Premiumisation & Product Performance

• Analyse the performance of premium products, add-ons, bundles and promotional initiatives.
• Identify opportunities to increase average revenue per customer and customer lifetime value.
• Support the rollout of new commercial initiatives and revenue streams across the region.

Customer & Competitive Insights

• Conduct competitor benchmarking across pricing, audience and market positioning.
• Analyse customer behaviour and cross-selling opportunities.
• Generate commercial insights that support strategic decision-making and business growth.
• Provide recommendations based on market trends and customer data analysis.