Job Description
Pricing Analyst - 12 month FTC
\nLocation: London (Hybrid - 2 days per week in the office)
\nAre you an analytical problem solver with a passion for turning data into commercial impact?
\nWe're looking for an experienced Pricing Analyst to join a growing analytics team where you'll play a key role in shaping pricing strategy across a fast-paced E-commerce environment. Working with large datasets, you'll help drive smarter buying and selling decisions through insightful analysis, experimentation, and data-driven recommendations.
\nThis is an excellent opportunity to work at the heart of a business undergoing an exciting pricing transformation, collaborating with commercial, product, technology, operations, and analytics teams to influence strategic decisions.
\nWhat You'll Be Doing
\n- \n
- Lead end-to-end analytics projects from data preparation through to actionable business recommendations. \n
- Build and maintain dashboards and reporting that support pricing decisions. \n
- Analyse pricing performance, customer behaviour, and commercial trends. \n
- Design, execute, and evaluate pricing experiments and A/B tests. \n
- Analyse pricing simulations and measure business impact. \n
- Identify opportunities through root cause analysis and commercial insight. \n
- Present findings clearly to both technical and non-technical stakeholders. \n
- Automate reporting processes to improve efficiency. \n
- Work closely with Product, Technology, Commercial, and Operations teams on pricing initiatives. \n
What We're Looking For
\n- \n
- 5+ years' experience in an analytics or data-focused role. \n
- Strong SQL skills with experience querying large datasets. \n
- Experience building dashboards using Power BI, Tableau, or Looker. \n
- Knowledge of Python or R for data analysis. \n
- Strong understanding of statistical analysis and experimentation. \n
- Excellent communication and stakeholder management skills. \n
- Experience within E-commerce, marketplaces, retail, or another commercial environment is highly desirable. \n
- Degree in Mathematics, Statistics, Computer Science, or a related discipline. \n
Desirable Experience
\n- \n
- Customer segmentation and behavioural analysis. \n
- Lifetime Value (LTV) modelling. \n
- Predictive analytics and forecasting. \n
- Google Cloud Platform or similar cloud data environments. \n
What's on Offer
\n- \n
- Work on commercially significant pricing initiatives that directly influence business performance. \n
- Exposure to large-scale datasets and modern analytics tools. \n
- A collaborative, data-driven culture with opportunities to shape the future of pricing. \n
- Hybrid working with flexibility. \n
- Excellent opportunities for professional development and career progression. \n
If you're passionate about using data to solve commercial challenges and enjoy working in a collaborative, fast-moving environment, we'd love to hear from you.