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Revenue Pricing Analyst

United States, Troy · Job Posted February 19, 2026
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Job Description

We are seeking a highly analytical and detail-oriented Data Analyst to support Aptiv’s Sales Distribution and Commercial Vehicle Sales team. This role will play a key part in driving data-driven decision-making by managing pricing models, sales trends, and distributor data.

Job Responsibility

  • Data Management & Cleansing: Update and cleanse Point-of-Sale (POS) files from distributors
  • Incorporate “Roll Up Name” into POS files and publish finalized versions
  • Post final POS files to relevant stakeholders
  • Pricing Management: Manage and update the distribution pricebook
  • Investigate and ensure accuracy of price, plant, MOQ (Minimum Order Quantity), and standard pack in the SAP system
  • Review pricebook OI models and customer pricing models to provide actionable recommendations
  • Generate and maintain spot buys in SAP and handle strategic pricing adjustments
  • Ship & Debit Program Management: Oversee the Master Ship & Debit (S&D) list and maintain a database for tracking and reporting
  • Validate ship and debit claims
  • Submit, monitor, and close out all Ship & Debit PRTs (Pricing Request Tickets)
  • Sales Analytics: Analyze distribution sales trends to identify insights and provide strategic recommendations to leadership
  • Develop and maintain sales funnel reporting tools for enhanced leadership visibility
  • System Maintenance & Reporting: Collaborate with manufacturing plants to ensure accurate updates in SAP systems for MOQ and standard packs
  • Regularly incorporate and update pricing data from the PRT system into SAP
  • Generate comprehensive sales reports and track performance metrics to support sales strategies

Requirements

  • Bachelor’s degree in Business Analytics, Data Science, or a related field
  • 3+ years of experience in data analysis, sales operations, or pricing management
  • Proficiency in SAP and data visualization tools such as Power BI or Tableau
  • Strong Excel skills, including advanced functions for data cleansing and analysis
  • Excellent attention to detail with the ability to manage large datasets
  • Strong communication skills to collaborate with cross-functional teams and present insights

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