Leasing Pricing Strategist in City of Westminster

Leasing Pricing Strategist in City of Westminster

City of Westminster Full-Time 60750 - 74250 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Own ratebooks and pricing while building AI-enabled models for decision-making.
  • Company: Join carwow, a dynamic marketplace revolutionising the leasing industry.
  • Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with Procurement and Marketplace teams for actionable insights.
  • Why this job: Make an impact in a fast-paced environment with innovative tools and strategies.
  • Qualifications: Strong Excel/BI skills and understanding of leasing economics required.

The predicted salary is between 60750 - 74250 Β£ per year.

carwow is hiring for a hybrid-based Pricing & Analytics role in Winnersh to own ratebooks, pricing, and competitive monitoring across our Leasey marketplace.

You will build models and tooling (AI-enabled) to speed decision-making and support the Procurement and Marketplace teams with actionable recommendations.

Ideal candidates combine strong Excel/BI skills, leasing economics understanding, and experience with marketplaces.

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Leasing Pricing Strategist in City of Westminster employer: carwow

At Carwow, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. Our Winnersh office provides a supportive environment with hybrid working options, competitive salaries, and generous benefits including enhanced holiday packages and a strong focus on employee wellbeing. With ample opportunities for professional growth and a commitment to diversity and inclusion, we empower our team members to thrive both personally and professionally.

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Contact Details:

carwow Recruitment Team

We think you need these skills to ace Leasing Pricing Strategist in City of Westminster

Excel
Business Intelligence (BI)
Leasing Economics
Marketplace Experience
Model Building
AI-enabled Tooling
Data Analysis