Purpose and MissionAs 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 ResponsibilitiesProfitability & 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
