Pricing & Analytics Manager

Worldpac•Oak Brook, IL

2d•$81,000 - $108,000•Onsite

About The Position

We are seeking an autonomous and strategic Pricing & Analytics Manager to lead and manage pricing science initiatives for our automotive parts portfolio. This onsite leadership role blends advanced analytics, data science, and pricing strategy to optimize pricing across SKUs, channels, and customer segments. You will oversee a team and work cross-functionally with Sales, Product Management, Supply Chain, and Finance to drive revenue growth, improve margin performance, and enhance competitive positioning in the automotive parts market. Proven pricing experience, particularly at the distribution level, is required.

Requirements

Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Mathematics, Finance, Business Analytics, or related field.
7+ years of experience in pricing analytics, data science, revenue management, or related analytical roles, with at least 2 years in a managerial or leadership capacity.
Demonstrated expertise in pricing strategy, price elasticity, and revenue optimization techniques, with direct experience at the distribution level highly desirable.
Advanced proficiency in SQL, Python or R, and Excel.
Experience analyzing large SKU-level datasets and evaluating margin impact.
Strong data visualization skills (Tableau, Power BI, Looker).
Proven ability to communicate complex analysis and recommendations to senior stakeholders.
Track record of working autonomously and driving initiatives to completion.

Nice To Haves

Experience in automotive parts (OEM, aftermarket, distribution) or manufacturing pricing analytics.
Familiarity with ERP systems (SAP, Oracle) and pricing optimization software.
Knowledge of A/B testing, experimental design, and predictive modeling for pricing decisions.
Exposure to big data platforms (Snowflake, Redshift) and workflow tools (dbt, Airflow).

Responsibilities

Design and deploy pricing and margin optimization models, including elasticity estimation, price sensitivity analysis, and what-if scenario modeling to support revenue and profitability objectives.
Lead the development, implementation, and ongoing refinement of pricing models for thousands of automotive parts across B2B, distribution, and e-commerce channels.
Oversee competitive pricing analysis versus OEM, aftermarket, and distributor pricing, ensuring actionable insights are delivered to senior leadership.
Direct pricing actions based on margin analysis, SKU lifecycle, elasticity testing, and sales performance, with accountability for results.
Establish and manage discounting and promotional strategies, leveraging data-driven insights to balance volume and profitability.
Supervise the design and deployment of statistical and machine learning models for demand forecasting, price elasticity, inventory velocity, and customer behavior, including margin optimization and what-if scenario modeling.
Guide the team in recommending pricing adjustments, segmentation strategies, and dynamic pricing opportunities using predictive models.
Ensure continuous monitoring and refinement of model performance using real-time sales and market data.
Apply experimentation and advanced analytics techniques to evaluate pricing strategies, promotions, and trade-offs across volume, margin, and customer behavior.
Oversee the extraction, transformation, and analysis of large datasets from ERP (SAP, Oracle), CRM (Salesforce), and e-commerce platforms.
Build and maintain end-to-end pricing analytics pipelines, integrating transaction data, cost structures, and competitive signals to support scalable and repeatable pricing decisions.
Develop and maintain dashboards and KPI reporting to track pricing performance, margin trends, and competitive positioning for executive review.
Translate complex data insights into clear, actionable recommendations for leadership and cross-functional teams.
Identify and champion opportunities to automate pricing workflows, improve data quality, and scale analytics across the organization.
Partner with IT and analytics engineering to implement pricing engines, automated scripts, and reporting platforms.
Standardize and govern pricing analytics pipelines, documentation, and rules for sustainable and repeatable analytics practices.
Partner closely with pricing, category, and commercial teams to translate business questions into analytical frameworks and deliver actionable pricing recommendations.
Lead collaboration with Sales, Marketing, Supply Chain, and Finance to align pricing strategies with business objectives.
Present actionable insights and recommendations to stakeholders at all levels, including executive leadership.
Oversee training and enablement on pricing tools, dashboards, and analytical methods for team members and business partners.