Revenue Analytics & Pricing Specialist

Women in Data®; Luton; Hybrid; GBP 35,000 - 45,000; Full time

Benefits offered by this job

Up to 20% maximum bonus

7% pension contributions

Medical Cash Plan

Excellent staff travel benefits

25 days of annual leave + bank holidays

Annual credit towards an easyJet holiday

Various flexible benefits and extras

Job summary

A leading low-cost airline in Luton is seeking an analytical professional to enhance revenue growth through data-driven insights. You will utilize your skills in SQL and Python while collaborating with multiple teams. The ideal candidate holds a quantitative degree and has experience in A/B testing. This full-time role offers benefits including a maximum 20% bonus, pension contributions, and excellent travel perks.

Qualifications

• Hold a Bachelor’s degree in Mathematics, Statistics, Data Science, Economics, or Physics.
• Professional experience using SQL and Python for data manipulation.
• Proven experience in building dashboards using Tableau or similar tools.
• Experience in designing and evaluating A/B tests and multivariate experiments.
• Minimum of 2+ years in an analytical role, ideally in Aviation or High-volume E-commerce.
• Ability to translate technical findings for non-technical stakeholders.

Responsibilities

• Drive revenue growth with analytical insights into pricing trends and demand patterns.
• Lead design and execution of A/B testing for pricing strategies.
• Translate complex data into clear strategic recommendations.

Skills

Analytical background

Collaboration with cross-functional teams

Data manipulation using SQL

Data analysis using Python

Building dashboards using Tableau

Experience in A/B testing

Commercial acumen

Education

Bachelor's degree in a quantitative field

Tools

SQL

Python

Tableau

PowerBI

Job description

A leading low-cost airline in Luton is seeking an analytical professional to enhance revenue growth through data-driven insights. You will utilize your skills in SQL and Python while collaborating with multiple teams. The ideal candidate holds a quantitative degree and has experience in A/B testing. This full-time role offers benefits including a maximum 20% bonus, pension contributions, and excellent travel perks.