Commercial Analytics Lead – E‑Commerce

MAG Manchester Airports Group; England; Hybrid; GBP 42,000 - 65,000; Full time

Benefits offered by this job

25 days holiday

Buy up to 10 extra days leave

10% pension

Annual bonus

On-site gym

MediCash scheme

Flexible benefits & discounts

Rail and retail discounts

Volunteer days

Internal events calendar access

Mentoring & learning grants

Enhanced parental leave

Job summary

MAG Manchester Airports Group is seeking a Commercial Analyst to join the e-commerce team. You will analyse pricing, promotions and product performance, and build commercial models to drive optimal trading decisions.

You will create insights using Google Analytics, Power BI and SQL, support budgeting, and share best practices across regional teams worldwide in a fast-paced, high-impact environment.

Qualifications

• Proven experience in an analytical role within digital, data or e-commerce environments.
• Ability to develop insights that influence trading decisions and commercial outcomes.
• Experience working with large datasets and selecting appropriate analytical tools.

Responsibilities

• Support Trading Managers to optimise trading strategies through market analysis
• Analyse pricing, discount and product changes to drive performance
• Provide trading reports to inform daily and longer-term decisions
• Develop best-practice approaches for working with complex datasets
• Create clear data visualisations to highlight trends, risks and opportunities
• Build and maintain commercial models, including scenario analysis
• Support budget planning, forecasting and in-year performance tracking
• Produce reports using Google Analytics, Power BI and SQL
• Share insights across the analyst community to foster a squad mentality

Skills

Analytical mindset

Commercial awareness

Stakeholder management

Cross-functional collaboration

Tools

Google Analytics

Power BI

SQL

Job description

MAG Manchester Airports Group is seeking a Commercial Analyst to join the e-commerce team. You will analyse pricing, promotions and product performance, and build commercial models to drive optimal trading decisions.

You will create insights using Google Analytics, Power BI and SQL, support budgeting, and share best practices across regional teams worldwide in a fast-paced, high-impact environment.