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  • Emplois similaires à : Manager, Pricing Strategy & Analytics
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Head of Pricing AnalyticsGSF Car Parts • London, England, United Kingdom
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Head of Pricing Analytics

GSF Car Parts
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom
Postuler Maintenant

À propos

Role Overview The Head of Pricing Analytics is responsible for developing the data, analytical capabilities, and decision-support tools that underpin the organisation’s pricing strategy. The role manages pricing-related data sources, builds analytical models, and provides insights that enable the business to optimise pricing decisions across products, channels, and customers.
Key Responsibilities Pricing Data Management
Manage and maintain the data infrastructure supporting pricing analysis, ensuring accuracy, consistency, and accessibility of pricing-related data.
Develop and maintain datasets covering sales transactions, pricing levels, customer behaviour, cost structures, and competitive pricing.
Utilise tools such as SQL and data management platforms to extract, transform, and structure data for analysis.
Work with IT and data teams to ensure pricing data is integrated effectively across systems.
Pricing Analytics & Insights
Develop analytical frameworks to assess price performance, margin delivery, and pricing effectiveness across products, channels, and customer segments.
Provide regular insights on price realisation, discounting behaviour, customer profitability, and margin drivers.
Support pricing teams with data-driven analysis that informs pricing decisions, negotiations, and strategic initiatives.
Identify trends and opportunities within pricing data to improve commercial outcomes.
Pricing Models & Decision Tools
Design and build analytical models and decision-support tools that enable the pricing team to evaluate pricing scenarios and strategies.
Develop models that assess price elasticity, margin impact, and customer response to pricing changes and ultimately drive pricing recommendations.
Create scalable tools that allow pricing teams and commercial stakeholders to make informed pricing decisions quickly and consistently.
Support the development of pricing simulations to evaluate potential pricing adjustments and strategic initiatives.
Price Optimisation & Advanced Analytics
Explore and implement price optimisation approaches using advanced analytical methods and technologies.
Leverage latest analytical tools, machine learning techniques, and data science methodologies to enhance pricing decision-making.
Identify opportunities to improve pricing outcomes through data-driven experimentation and optimisation.
Stay up to date with developments in pricing analytics, artificial intelligence, and optimisation technologies.
Reporting & Performance Monitoring
Develop and maintain pricing dashboards and reporting frameworks to provide visibility on pricing performance.
Deliver clear reporting on key metrics including margin performance, price realisation, discount trends, and promotional effectiveness.
Provide analytical support for commercial reviews, pricing strategy discussions, and business planning.
Collaboration with Pricing Teams
Partner with the Category Pricing Business Partner to support category-level pricing analysis and cost pass-through evaluation.
Work with the Channel Pricing Manager to analyse pricing performance across routes to market.
Support the Network Pricing Business Partner with insights on customer pricing behaviour, discounting patterns, and profitability.
Translate analytical findings into practical recommendations that support pricing teams in their decision-making.
About You Skills & Experience
Experience in pricing analytics, commercial analytics, data science, or business intelligence roles.
Strong technical capability in data analysis and modelling, including experience with SQL and analytical tools.
Experience building data models, dashboards, and analytical frameworks.
Understanding of pricing strategies, commercial performance metrics, and margin analysis.
Ability to translate complex analytical insights into clear business recommendations.
Experience with tools such as Python, R, Power BI, Tableau, Alteryx or similar analytics platforms is advantageous.
Key Competencies
Strong analytical and problem-solving capability
Data-driven decision making
Commercial awareness
Technical and data management skills
Communication and storytelling with data
Cross-functional collaboration
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  • London, England, United Kingdom

Compétences linguistiques

  • English
Avis aux utilisateurs

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