Job Title
Senior Pricing AnalystPosition Overview
The Senior Pricing Analytics Analyst is a critical member of the Pricing Analytics team, responsible for extracting actionable insights from complex data, developing sophisticated analytical models, and providing data-driven recommendations to optimize Shaw's pricing performance. This role involves in-depth analysis of market dynamics, the application of advanced statistical techniques, and the development of tools and reports that directly inform strategic pricing and profitability decisions across multiple brands.
Key Accountabilities:
Lead the full analytical lifecycle of strategic pricing initiatives, including data collection, model development, scenario analysis, and the generation of data-backed insights to inform pricing strategies and tactics.
Design, develop, and maintain the strategic pricing infrastructure, focusing on enhancing pricing methodologies, building advanced data analytics models, and optimizing related tools and procedures.
Conduct rigorous quantitative analysis to support strategic pricing elements in agreements with major cross-functional customers, incorporating market trends and value-based pricing principles.
Perform complex data analyses, interpret findings, and strategically communicate data-driven insights and recommendations on market trends, economic value assessments, and pricing strategies to stakeholders.
Develop and automate processes for regular competitive pricing benchmarking, leveraging pricing systems and analytical techniques to identify key differentiators and pricing gaps.
Develop analytical frameworks and reporting to monitor the effectiveness of value-based pricing initiatives and identify areas for improvement.
Perform additional responsibilities as needed.
Responsibilities:
Spearhead the ongoing advancement and execution of detailed pricing strategies through rigorous data analysis and the development of predictive and prescriptive models that reflect corporate aims and market realities.
Lead the development and implementation of pricing strategies grounded in comprehensive data analysis, manage pricing agreements for major customers with strong analytical support, and provide expert insights on pricing data, tools, and methodologies to drive the shift towards value-based and market-driven pricing frameworks.
Support end-to-end strategic pricing operations by providing critical analytical input for strategy creation, pricing determination, price governance, process control, and tool management, ensuring alignment with business strategy.
Nurture the foundation of strategic pricing by enhancing pricing science through the development of advanced data models, sophisticated analytical tools, and insightful data visualizations.
Develop pricing governance reporting, strategy, training, and auditing processes based on thorough data analysis to ensure compliance with corporate and brand strategy/guardrails.
Guide strategic pricing discussions in large-scale customer agreements by providing data-driven insights on market dynamics and value-based pricing opportunities.
Inform and influence stakeholders regarding market trends, value assessments, and pricing strategies through detailed quantitative analysis, strategic planning, and data-supported presentations.
Serve as a key user and analytical expert for pricing tools, leveraging software like Vendavo, PROS, or Zilliant to analyze price adjustments and their impact.
Conduct regular competitive pricing analysis, develop methodologies for identifying competitive differentiators and prices, and generate actionable reports.
Support change management projects by providing data and analysis to demonstrate the benefits of a value-based pricing model.
Additional analytical duties as assigned.
Minimum Requirements:
Bachelor's degree in a relevant field or equivalent experience.
At least four years of experience in pricing, finance, or a similar area.
Demonstrated ability to identify and quantify profit optimization opportunities through data-driven pricing strategies.
Strong proficiency in data analysis tools and techniques (e.g., Excel, statistical software).
Willingness to travel to Dalton, GA as needed.
Preferred Qualifications:
Strong analytical knowledge in trade promotion, retail performance, and profitability analytics.
Proven experience managing and integrating multiple, complex data sources.
Advanced proficiency with data visualization software (Power BI, Tableau, etc.).
Knowledge of coding languages relevant for data analysis (SQL, Python, R, etc.).
Work Shift:
8-hour non-rotating shift, hours fall to in punch day, Observed Calendar, shift starts AM
Shaw Industries is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.
Work Shift
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