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    Pricing Analytics Lead - Cape Town, South Africa - O'Brien Recruitment

    O'Brien Recruitment background
    Description

    Main Purpose:

    To lead and manage the optimization of a retail brand pricing strategy. To collaborate with cross-functional teams, including IT, business operations, and data analytics, to drive data-driven decision-making and leverage technology to achieve business goals. This role requires a strong understanding of business processes, IT systems, and data analytics.

    Key Responsibilities:

    • Analyze the effects of the pricing strategy and collaborate with cross-functional teams to identify improvement opportunities
    • Analyze performance in relation to competitors and make recommendations
    • Work with business stakeholders to define product strategies by ensuring that all sales & profit opportunities are identified & maximized
    • Define pricing rules and demonstrate benefit through pricing ladders linked to product/brand performance
    • Research competitor promotional pricing trends and provide insights to the project teams to enhance competitive advantage
    • Assist Fashion, Beauty & Home in identifying opportunities to achieving strategic objectives using the Product Performance matrix
    • Business Process Optimization: Collaborate with cross-functional teams to identify process improvement opportunities. Utilize data analysis to identify inefficiencies, bottlenecks, and areas for optimization. Propose and implement process changes to enhance operational efficiency and effectiveness
    • Product Strategy Development: Work with business stakeholders to define product strategies aligned with business objectives. Translate business requirements into product features and capabilities. Conduct market research, competitor analysis, and customer interviews to inform product strategy
    • Stakeholder Collaboration: Collaborate with various stakeholders, including business operations, IT teams, data analysts, and senior management, to gather requirements, define business needs, and align strategies. Facilitate communication and ensure cross-functional coordination to achieve business and product goals
    • Project Management: Lead and oversee Fashion, Beauty & Home Pricing, Markdown & Promotion projects related to business systems, data analytics, and process improvement initiatives. Define project requirements, create project plans, and coordinate implementation efforts with IT teams and stakeholders. Ensure timely delivery of projects and manage any potential risks or issues
    • Data Governance and Quality: Implement data governance processes to ensure data integrity, security, and compliance. Collaborate with data governance teams to define data standards, policies, and procedures. Establish data quality controls and monitor data accuracy and consistency
    • Continuous Improvement: Continuously evaluate and improve business processes, IT systems, and data analytics capabilities. Stay abreast of emerging technologies, industry trends, and best practices to drive innovation and efficiency within the organization

    Job Requirements:

    • Bachelor's degree in business, computer science, data analytics, or a related field (post graduate qualification preferred)
    • Proven experience in pricing, promotions, and markdowns of products, within the retail industry, preferably in Fashion
    • Deep understanding of industry and customer knowledge
    • Strong understanding of business processes, IT systems, and data analytics methodologies
    • Experience with business intelligence tools, data management systems, and reporting platforms
    • Project management skills and process thinking skills, with the ability to prioritize and manage multiple projects simultaneously
    • Excellent communication and collaboration skills to work effectively with cross-functional teams
    • Strong problem-solving abilities and strategic thinking
    • Familiarity with data governance and data quality best practices
    • Knowledge of relevant industry trends and emerging technologies

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