Category Management & Pricing Analyst leveraging data for pricing strategies. Supporting cross-functional teams and optimizing commercial effectiveness at MOO.
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
Requirements
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
Ability 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.
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
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