Pricing Analyst (Data Science)

Location: Downers Grove, Illinois, United States; onsite

Company

Industrial supply and home improvement retail organisation serving automation, MRO, pneumatic, motion, electronic, hydraulic, HVAC and electrical control applications.

What you will do

• Evaluate pricing, cost, sales, customer, inventory and product data to identify revenue and margin opportunities.
• Design and refine pricing analyses, models and decision-support tools for a diverse industrial product catalogue.
• Measure price performance using elasticity, margin contribution, price-volume-mix and competitive positioning metrics.
• Build reliable SQL datasets, recurring reports, analytical workflows and data-quality checks.
• Apply Python, statistical methods and data-science techniques to forecasting, segmentation, scenario modelling and optimisation.
• Partner with Pricing, Sales, Finance, Merchandising and Operations, presenting commercially relevant recommendations to senior stakeholders.

Requirements

• Bachelor’s degree in data science, statistics, mathematics, economics, finance, business analytics, computer science or a related quantitative discipline.
• Approximately 3–7 years of experience in pricing analytics, data science, revenue management, commercial analytics, business intelligence or a comparable field.
• Advanced SQL skills, including complex joins, reusable queries and analytical-output validation.
• Confident Python use for data preparation, statistical analysis, modelling, automation and exploratory investigation.
• Understanding of pricing concepts including margin, elasticity, price-volume-mix, segmentation and profitability analysis.
• Advanced Microsoft Excel skills, strong statistical reasoning, commercial judgement and the ability to communicate with senior leaders.

Nice to have

• Experience with pricing, demand, propensity, forecasting or optimisation models in retail, distribution or industrial supply.
• Familiarity with Power BI, Tableau or comparable visualisation platforms.
• Exposure to Databricks, Snowflake, cloud data warehouses or modern analytical engineering environments.
• Knowledge of experiment design, causal analysis and pricing-change effectiveness measurement.
• Experience integrating ERP, e-commerce, CRM, inventory or transaction data.

Culture & Benefits

• Ownership of pricing initiatives connected to revenue growth, margin improvement and customer value.
• Exposure to industrial automation, MRO, hardware and facilities-maintenance categories.
• Opportunity to influence pricing strategy across a technically varied product assortment.
• Close interaction with commercial, financial, sales and operational stakeholders.
• Access to complex real-world datasets and opportunities to modernise reporting and automate analysis.
• Professional growth across pricing science, retail economics, forecasting, product analytics and business strategy.