Pricing Analyst

• Collaborate with cross-functional teams (merchandising, technology, data science) to gather requirements and translate business needs into pricing analytics solutions
• Develop and maintain pricing reports and tools to enable timely decision-making and performance monitoring
• Implement continuous improvement loops for pricing tools, integrating user feedback and evolving market data to enhance usability and accuracy
• Participate in UAT testing for pricing tools and feature enhancements before deploying to broader business stakeholders
• Perform root-cause analyses on pricing anomalies or unexpected variances to recommend corrective and preventive actions
• Conduct market and competitor research to identify pricing trends and opportunities, adjusting strategies as needed
• Identify, track, and analyze key business drivers to refine and optimize pricing approaches
• Monitor the effectiveness of pricing strategies, analyzing key performance indicators and recommending continuous improvements
• Synthesize complex data insights into clear, concise presentations highlighting risks and opportunities
• Create visually appealing and understandable data visualizations to communicate complex information effectively
• Ensure data integrity by validating, cleaning, and enriching large datasets for accurate and reliable analytical output
• Partner with technology and data engineering teams to enhance data pipelines and analytics infrastructure
• Maintain strong knowledge of industry best practices and emerging analytical methods, applying them to optimize pricing initiatives
• Advocate for a data-driven culture within the organization by promoting the strategic value of analytics in pricing decisions

• Bachelor’s Degree Business Management, Finance, Statistics, Engineering, Marketing, or a related quantitative field
• Proven experience (2+ years) in pricing, data analytics, market research, revenue management, or related roles within retail, e-commerce, or consumer goods industries
• Strong analytical and quantitative skills, with the ability to manipulate, interpret, and present complex and large datasets
• Proficiency in analytical tools such as Excel, SQL, Python, or R for data extraction, cleaning, and modeling
• Experience with data visualization platforms (e.g., Tableau, Power BI) to create compelling dashboards and reports
• Familiarity with statistical modeling concepts (e.g., regression, forecasting, elasticity) and machine learning techniques
• Demonstrated problem-solving skills, including scenario analysis and root-cause investigation for pricing anomalies
• Excellent communication skills, with the ability to translate technical findings into clear, actionable insights for non-technical audiences
• Strong attention to detail and commitment to data accuracy and integrity in all analyses
• Collaborative mindset, able to partner effectively with cross-functional teams (merchandising, technology, data science)
• Adaptability in a fast-paced environment, with the capacity to handle multiple projects and shifting priorities
• Knowledge of NIQ, Circana, Numerator products and services is an asset

Knowledge of NIQ, Circana, Numerator products and services

• Opportunity to work with a retail giant
• Long-term contract
• Opportunity to grow career in pricing analytics