At a Glance
- Tasks: Analyse pricing data and drive data-led decisions in a global eCommerce marketplace.
- Company: Join a profitable global eCommerce leader with a strong data culture.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team atmosphere with high visibility across commercial leadership.
- Why this job: Shape the future of pricing in a fast-growing, innovative environment.
- Qualifications: Experience in pricing analytics, strong SQL skills, and ability to analyse large datasets.
The predicted salary is between 36000 - 60000 £ per year.
I’m partnering with a global eCommerce marketplace operating in 150+ countries, currently investing heavily in its data and pricing capabilities. With millions of products and customers worldwide, pricing plays a critical role in how the business optimises margin, demand and customer value. They are now looking for a Pricing Analyst to join their growing analytics team and help drive data-led pricing decisions across the business.
The Role
This position sits within a central analytics function and focuses on pricing analysis, experimentation and performance insights across a large product catalogue. You will work closely with commercial, product, and engineering teams to analyse pricing performance, test new strategies and support the evolution of the company’s pricing systems.
Key responsibilities include:
- Analysing large datasets to identify pricing opportunities and commercial insights
- Designing and evaluating pricing experiments and A/B tests
- Supporting the development of pricing models and strategies
- Building dashboards and analytical outputs to monitor pricing performance
- Partnering with stakeholders across commercial, product and data teams
- Helping shape the future of pricing within a fast-growing global marketplace
What They’re Looking For
- Experience in pricing, commercial or data analytics
- Strong SQL skills (Python beneficial)
- Experience analysing large datasets
- Exposure to experimentation, modelling or statistical analysis
- Ability to translate data into clear commercial recommendations
- Experience in eCommerce, retail, marketplaces or digital platforms is highly beneficial
Why This Role?
- Work for a profitable global eCommerce business
- Huge product catalogue and complex pricing environment
- High visibility across commercial leadership
- Strong data culture with growing analytics investment
- Hybrid working and collaborative environment
If you’re interested in learning more, feel free to apply or message me directly for a confidential discussion.
Senior Pricing Analyst employer: Pulse Recruit
Join a dynamic and innovative consumer tech company that prioritises employee growth and development, offering a collaborative work culture where your contributions directly impact user experiences. With a hybrid working model in London, you’ll enjoy the flexibility of remote work while being part of a passionate team dedicated to creating smarter, more personalised digital solutions. This role not only provides a competitive salary but also the opportunity to be at the forefront of a significant digital transformation, making it an exciting place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Pricing Analyst
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We think you need these skills to ace Senior Pricing Analyst
Some tips for your application 🫡
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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✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
