Hybrid Revenue Optimization Analyst in Bracknell

Hybrid Revenue Optimization Analyst in Bracknell

Bracknell Full-Time 35000 - 42500 Β£ / year (est.) No working from home possible
Avis Budget Group

At a Glance

  • Tasks: Analyse data to optimise pricing strategies and enhance revenue management.
  • Company: Join Avis Budget Group, a leader in global mobility solutions.
  • Benefits: Enjoy hybrid work, career progression, and a supportive team environment.
  • Other info: Great opportunities for growth within a global company.
  • Why this job: Make a real impact on pricing decisions in a dynamic industry.
  • Qualifications: Degree-level education with strong analytical and communication skills.

The predicted salary is between 35000 - 42500 Β£ per year.

Senior Revenue Management Analyst at Avis Budget Group in Bracknell will contribute to pricing and yield strategies, using data from internal and external sources to advise on pricing decisions.

This role requires degree-level education and strong analytical and communication skills. It offers a centralised revenue management function with hybrid work (4 days in office, 1 from home) and opportunities for progression within a global mobility solutions company.

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Hybrid Revenue Optimization Analyst in Bracknell employer: Avis Budget Group

Avis Budget Group is an excellent employer, offering a supportive work culture that prioritises safety and customer satisfaction at Heathrow Airport. Employees benefit from a range of perks, including discounts and a comprehensive support programme, while also enjoying opportunities for professional growth within a dynamic team environment. Join us to be part of a company that values your contributions and fosters a rewarding career in the transport industry.

Avis Budget Group

Contact Details:

Avis Budget Group Recruitment Team

We think you need these skills to ace Hybrid Revenue Optimization Analyst in Bracknell

Analytical Skills
Communication Skills
Pricing Strategies
Yield Management
Data Analysis
Degree-Level Education
Internal and External Data Utilisation