Pricing and Data Analyst
York, PA Sales
Job Type
Full-time
Description

This is a highly analytical role that develops predictive commercial analytics that identify leading indicators of sales declines, customer attrition, pricing erosion, customer agreements (Rebates & Allowances), inventory constraints, and margin compression, enabling proactive action by Sales and Leadership and support business decision-making.


PRIMARY DUTIES 


Pricing Strategy & Performance

  • Define, monitor, and optimize key pricing and commercial KPIs, including price realization, margin performance, volume growth, mix, and customer profitability.
  • Conduct Price-Volume-Mix (PVM) analysis to identify drivers of revenue and margin performance.
  • Monitor pricing compliance, discounting trends, promotional effectiveness, and price leakage across all sales channels.
  • Develop competitive pricing intelligence by channel and recommend pricing actions based on market trends.

Commercial Analytics 

  • Develop leading indicators and early warning metrics to identify risks before they impact sales or profitability.
  • Analyze sales trends, customer behavior, and channel performance to identify opportunities and emerging risks.
  • Identify declining customers, order frequency changes, reduced average order size, and other indicators requiring commercial action.
  • Partner with Sales leadership to prioritize accounts requiring intervention based on predictive analytics.

Residential Distribution (Designer Channel)

  • Monitor designer acquisition, activation, and retention metrics.
  • Analyze repetitive ordering patterns, dormant designers, and customer lifecycle trends.
  • Evaluate book/sample productivity and conversion rates.
  • Track average unit sales, project frequency, and customer profitability.
  • Analyze Paint & Wall Retailer performance, identifying growth opportunities and declining trends.

E-Commerce & National Accounts Analytics

  • Develop channel-specific scorecards for eCommerce and National Accounts.
  • Monitor sales trends, conversion, assortment performance, customer purchasing behavior, and profitability.
  • Analyze fill rates, backorders, inventory constraints, and service levels.
  • Measure promotional effectiveness and pricing performance by account.

Revenue Management

  • Own rebate and allowance reporting and weekly scorecards.
  • Compare deductions against customer agreements to identify discrepancies.
  • Investigate overages and partner with Operations, Sales, Customer Service, and Finance to determine root causes and corrective actions.
  • Monitor trade spend effectiveness and customer profitability.

Forecasting & Business Planning

  • Develop sales forecasts by customer, channel, and product category.
  • Support annual operating plans, budgeting, and demand planning.
  • Identify forecast variances and recommend actions based on changing market conditions.

Dashboard Development & Business Intelligence

  • Build and maintain automated dashboards and executive scorecards.
  • Develop self-service reporting tools that improve visibility into commercial performance.
  • Ensure data accuracy, governance, and consistency across ERP, CRM, and reporting platforms.
  • Translate complex data into actionable recommendations for executive leadership.

Cross-Functional Business Partner

  • Partner with Sales, Marketing, Finance, Operations, Supply Chain, and Customer Service to improve business performance.
  • Present business insights and recommendations to senior leadership.
  • Support strategic initiatives through financial modeling, scenario analysis, and profitability assessments.
  • Drive continuous improvement in reporting processes and analytical capabilities.


Requirements

EDUCATION & EXPERIENCE 

  • Bachelor’s degree in Business, Analytics, Data Science, Economics, or related field (Master’s preferred).
  • 5–10+ years of experience in pricing, sales analytics, or customer insights.
  • Proven experience using AI/ML tools and modern analytics platforms (e.g., Python, SQL, Power BI, Tableau, or similar).
  • Strong understanding of pricing strategy, demand forecasting, and customer segmentation.
  • Experience in manufacturing, consumer goods, or e-commerce preferred.
  • Exceptional ability to translate data into business insights and executive-level communication.
  • Demonstrated ability to build automated dashboards and alert systems.


WORKING CONDITIONS 

  • General office environment