At a Glance
- Tasks: Analyse pricing strategies and optimise data for impactful commercial decisions.
- Company: Join MOO, a dynamic team revolutionising the print industry since 2006.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Other info: Work in a vibrant environment with a focus on innovation and teamwork.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Strong analytical skills and experience with data tools like Excel, SQL, or Python.
The predicted salary is between 40000 - 50000 £ per year.
MOO set out to shake up the world of print back in 2006. Today we’re a 400+ strong team who create print and digital products for companies of all sizes. Our global HQ is in London, UK, with additional premises in Dagenham, Boston, Lincoln, Denver, and Capetown.
The Pricing & Commercial Performance team supports all commercial areas of the business—including customer acquisition, CRM, brand marketing, and pricing. We help teams make the best use of available data to uncover growth opportunities and unlock efficiencies that help MOO thrive. We’re a small, collaborative team working at the intersection of data, insight, and commercial decision-making.
This role sits at the intersection of category management, pricing strategy, and operational insight. You’ll become the data engine behind how we price our products, understand our manufacturing performance, and support category leaders with the forecasting they rely on to make strong commercial decisions. You will work across a large, multi-currency pricing environment with dozens of product variants, multiple regions, and shipping models that blend production lead times with delivery promises.
Responsibilities:
- Own and maintain multi-currency price sheets across product families and variants.
- Analyse pricing coherence, identify anomalies, and propose optimisation opportunities.
- Build and operationalise a competitor-pricing monitoring process (tools, scraping, analysis).
- Support the development of pricing strategies for new products, promotions, and markets.
- Model shipping pricing and delivery logic, incorporating production lead times and fulfilment differences.
- Develop forecasting models to support Category Managers on demand planning and product performance.
- Track and analyse manufacturing quality data to identify trends, risks, and improvement opportunities.
- Build dashboards, reports, and insights that help teams make evidence-based decisions.
- Partner cross-functionally (Operations, Finance, Product, Engineering) to improve data flows and pricing governance.
- Contribute to process improvement across pricing and category management.
About You:
- Strong analytical foundation (Stats, Economics, Engineering, Applied Maths, Finance, etc.).
- Advanced Excel/Sheets skills; comfortable navigating large data matrices and multi-file structures.
- Experience working with structured datasets (CSV, SQL, Python/R or similar).
- Strong business acumen — you think beyond the numbers.
- Comfortable owning complex systems and improving them over time.
- Able to communicate clearly with both technical and non-technical teams.
- Curious, proactive, and energised by solving ambiguous problems.
- Able to manage competing priorities and deliver high-quality work quickly.
- Detail-oriented when accuracy is critical and pragmatic when speed matters.
- Enjoy working in cross-functional, collaborative environments.
Nice To Haves:
- Experience in competitor price-scraping or marketplace pricing intelligence.
- Category management or product lifecycle analysis experience.
- Exposure to manufacturing quality metrics or operational performance reporting.
- Knowledge of e-commerce pricing strategies.
- Familiarity with BI tools (Tableau, Snowflake).
- Experience with forecasting methodologies or statistical modelling.
- Understanding of multi-currency pricing or international markets.
- Exposure to shipping/logistics cost modelling.
Category Management & Pricing Analyst employer: Phoenix Court Group
At MOO, we pride ourselves on being an innovative and dynamic employer that fosters a collaborative work culture where creativity and data-driven insights thrive. Our London HQ offers a vibrant environment with opportunities for professional growth, as well as the chance to work alongside a diverse team dedicated to transforming the print and digital landscape. With a focus on employee development and a commitment to making meaningful contributions, MOO is the perfect place for those looking to make an impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Category Management & Pricing Analyst
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We think you need these skills to ace Category Management & 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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✨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.
