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Senior Analyst, Price Analytics is responsible for building and maintaining pricing solutions that make it easy for the client to plan, execute, and monitor the best pricing strategies for customers. This includes integration of statistical models, algorithms, and business rules to shape raw data into pricing actions.
Job Responsibility:
Lead Pricing Analytics Projects: Design and implement advanced pricing solutions, leveraging statistical models, machine learning techniques, and data visualization tools to support revenue optimization and competitive positioning
develop and enhance pricing models: refine and implement complex pricing frameworks, including elasticity models, competitive price monitoring, and demand forecasting, to drive profit and sales growth
influence business strategy: provide strategic recommendations based on thorough analysis of pricing trends, competitor benchmarking, and market conditions
present insights to senior leadership with clear business implications
advanced data analysis & automation: utilize SQL, Python, R, and visualization tools (Power BI, Tableau) to extract insights, automate pricing analysis, and enhance data processing efficiencies
enhance pricing technology solutions: collaborate with technology and data engineering teams to develop and improve pricing tools, ensuring scalability, automation, and reliability of pricing analytics infrastructure
drive continuous improvement: identify and implement process enhancements, introduce new methodologies, and stay ahead of industry best practices in pricing analytics
mentorship & leadership: support and mentor Analysts within the Pricing Analytics team, fostering a collaborative and data-driven culture.
Requirements:
Bachelor’s or Master’s Degree Business Management, Finance, Statistics, Engineering, Marketing, or a related quantitative field
proven experience (4+ years) in pricing, data analytics, market research, revenue management, or related roles within retail, e-commerce, or consumer goods industries
advanced analytical skills, with deep expertise in statistical modeling, regression analysis, price elasticity, and forecasting techniques
technical proficiency in SQL, Python, R, and advanced Excel, with experience in big data environments and analytics platforms
strong data visualization skills, with hands-on experience using Power BI, Tableau, or similar tools to create compelling dashboards and reports
business acumen and strategic thinking, with a strong ability to connect data insights to business outcomes and influence decision-making
excellent communication and storytelling skills, with the ability to present complex data in a clear and actionable manner to senior stakeholders
strong collaboration and leadership skills, with experience working across cross-functional teams (merchandising, technology, data science)
proactive mindset, with a passion for continuous learning, problem-solving, and driving pricing innovation
adaptability in a fast-paced environment, with the capacity to handle multiple projects and shifting priorities
experience in competitive intelligence tools (NIQ, Circana, Numerator) and market research methodologies is an asset.
Nice to have:
Experience in competitive intelligence tools (NIQ, Circana, Numerator) and market research methodologies.
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