Role Overview
The Pricing Analytics Manager 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.
About The Role
Working closely with the Category Pricing, Channel Pricing, and Network Pricing teams, the Pricing Analytics Manager ensures that pricing strategies are supported by robust data analysis, actionable insights, and scalable analytical tools. The role also plays a key part in developing pricing optimisation capabilities, leveraging latest analytical techniques and technologies to improve price realisation, margin performance, and commercial decision-making. The position combines data management, analytics, and commercial insight, translating complex pricing data into clear recommendations that support profitable growth.
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
About Us
GSF Car Parts is one of the UK’s leading automotive parts distributors, supplying thousands of independent garages throughout the UK and Ireland with parts, tools, garage equipment and specialist training. The group has over 175 branches nationwide and a turnover exceeding £475 million. Built on the heritage and success of a dozen local brand identities acquired over several years, we have traded as one brand since November 2021. Our branch network is bolstered by centralised support and expertise from specialist departments in key areas such as procurement and supply chain, marketing and national accounts. The business also benefits from integrated IT systems, which include our industry leading catalogue system, Allicat, and access to the Group's national garage programme, Servicesure. #INDGSF
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