Overview

Support the Landside Concessions Division with sales and revenue reporting, budget coordination, marketing-campaign analysis, and AI-enabled analytics that turn complex data into commercial insights.

Key Responsibilities

• Establish performance metrics across sales, revenue, footfall and marketing.

• Automate data compilation and cleaning and build business dashboards.

• Work with enterprise data teams to use machine learning, AI, data products and predictive models.

• Partner Finance on monthly reporting and annual budgeting.

• Research macro and local trends and support business-target development.

• Manage ad-hoc projects and innovation initiatives.

• Analyse sales and web data to develop and optimise marketing campaigns and experiments.

• Use customer segmentation and lifecycle insights to improve acquisition, lifetime value and retention.

• Perform post-campaign analysis and present findings.

• Translate analytical and predictive-model outputs into digital-marketing experiments.

• Evaluate new digital-marketing technologies and industry developments.

Requirements

• Degree in Business, Analytics, Computer Science, Mathematics, Statistics or another quantitative discipline preferred.

• Two to three years of data-analytics or business-intelligence experience.

• Retail leasing or asset-management experience is advantageous.

• Strong business mindset and ability to derive actionable insights.

• High proficiency in dashboards and BI tools with strong storytelling skills.

• Knowledge of data modelling and database technologies.

• Knowledge of campaign measurement, predictive modelling, segmentation, testing and forecasting.

• Advanced Microsoft Excel and PowerPoint plus BI and analytics tools.

• Experience with generative AI or Copilot tools is advantageous.

• Familiarity with SQL, ETL, Python, R, RPA, digital transformation, Braze and HTML is advantageous.

• Resourceful team player who can work independently.

• Ability to multitask in a fast-paced environment.

• Curious, motivated and open to new solutions.

• Excellent written and verbal communication.