At a Glance
- Tasks: Design and manage data foundations for pricing and analytics in a dynamic SaaS environment.
- Company: Join a leading SaaS organisation focused on innovative pricing strategies.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with cross-functional teamwork and career advancement potential.
- Why this job: Be the key player in shaping pricing strategies with impactful data insights.
- Qualifications: Strong analytical skills and experience in pricing analytics or data strategy.
The predicted salary is between 72000 - 88000 £ per year.
Morgan McKinley is seeking a highly analytical Senior Pricing Analytics Manager to design and manage the data foundations that enable modern pricing, packaging, deal governance, and commercial analytics across a growing SaaS organisation. This role acts as a bridge between Sales, Finance, Product, Customer Success, Revenue Operations, and Data teams, ensuring pricing decisions are supported by trusted data, scalable architecture, and actionable insights.
Senior Pricing Analytics Architect — SaaS & Data Strategy in London employer: Morgan McKinley
As a leading international savings and investments business with over a century of experience, we pride ourselves on fostering a supportive and inclusive work environment that prioritises employee well-being and professional growth. Our flexible working arrangements and commitment to workplace accommodations ensure that you can thrive in your role as the Group Financial Crime Policy and Standards Manager, while contributing to our mission of delivering exceptional financial outcomes for our clients. Join us to be part of a dynamic team that values collaboration, innovation, and integrity in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Pricing Analytics Architect — SaaS & Data Strategy in London
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We think you need these skills to ace Senior Pricing Analytics Architect — SaaS & Data Strategy in London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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