Pricing Manager

Purpose and Mission

As a Revenue & Pricing Analyst, you are the financial performance engine of the commercial organization. You drive profitability by analyzing revenue, pricing, and cost structures across all SKUs and customer accounts.

With a strong analytical mindset and a data-driven approach, you identify margin improvement opportunities, uncover unprofitable business, and support strategic decisions to fix, optimize, or exit accounts and product lines.

You act with precision, creativity, and curiosity—leveraging data, AI tools, and automation to simplify complexity, improve profitability, and enable better commercial decisions across all segments.

Key Activities and Responsibilities

Profitability & Revenue Analysis

• Conduct SKU-level and account-level profitability analysis (margin, cost-to-serve, contribution margin).
• Identify underperforming SKUs and customers; recommend actions (price increase, cost reduction, rationalization, or exit).
• Perform deep-dive variance analysis to explain gaps vs target margin or revenue performance.
• Build financial models to simulate pricing, cost changes, and volume scenarios.

2. Pricing Strategy & Optimization

• Develop and maintain pricing models and tools to support data-driven pricing decisions.
• Analyze competitor pricing, market trends, and customer behavior to recommend optimal pricing structures.
• Evaluate price realization vs target (discounts, rebates, deviations).
• Support implementation and governance of pricing frameworks (price lists, floors, approvals)

3. Cost-to-Serve & Margin Improvement

• Analyze total cost-to-serve (freight, packaging, handling, inventory, manufacturing complexity).
• Identify opportunities for cost reduction (packaging optimization, freight renegotiation, MOQ adjustments).
• Partner with operations and supply chain to improve cost efficiency across SKUs and customers.
• Quantify savings opportunities and track realization.

4. SKU Rationalization & Portfolio Optimization

• Lead SKU rationalization initiatives to reduce complexity and improve manufacturing efficiency.
• Analyze product usage, demand patterns, margins, and duplication across SKUs.
• Recommend which SKUs to retain, consolidate, or eliminate to improve operational efficiency and profitability. [linkedin.com]
• Support new product introduction decisions with profitability analysis.

5. Data, Reporting & Automation

• Develop and maintain automated dashboards (Excel / Power BI) for revenue, margin, pricing performance, and cost tracking.
• Build structured datasets combining pricing, cost, sales volume, and customer data.
• Ensure data integrity across systems (ERP, pricing tools, CRM).
• Provide regular executive-ready reporting on profitability performance and improvement actions.

6. Cross-Functional Business Support

• Partner with Sales, Customer Service, Finance, Operations, and Segment Leaders to drive profitability actions.
• Support account strategy reviews with data-driven insights.
• Provide analytical input for contracts, quotes, and large bids.
• Act as a key contributor to strategic planning and pricing governance processes.
  
  

  Expectations:

  • Deliver a complete profitability map across all SKUs and customer accounts.
  • Identify and quantify improvement opportunities and unprofitable business.
  • Drive measurable actions to improve margins (pricing, cost, mix, or exit decisions).
  • Build scalable tools and models to support ongoing pricing and revenue optimization.
  • Translate complex data into clear, actionable recommendations for leadership.
  • Continuously challenge the status quo and identify new ways to improve profitability.

Skills

• Proven track record in improving profitability through data-driven actions
• Advanced Excel (modeling, pivot tables, scenario analysis)
• Data analytics & visualization (Power BI, Tableau preferred)
• Strong financial modeling and margin analysis capabilities
• Experience with ERP / pricing tools / large datasets
• Ability to leverage AI tools to automate analysis and generate insights
• Strong analytical thinking and problem-solving skills
• Ability to connect pricing, cost, and commercial strategy
• High attention to detail and data accuracy
• Ability to translate data into business decisions
• Entrepreneurial and continuous improvement mindset
• Curiosity and creativity in identifying profitability opportunities
• Strong collaboration across functions
• Clear and concise communication with leadership

Previous Experience

• Experience in manufacturing or industrial environment preferred
• 3–7 years in pricing, financial analysis, or commercial analytics roles
• Familiarity with market research and data analysis techniques

Qualifications and Education

• Bachelor's degree in Finance, Economics, Marketing, or a related field