Commercial Analytics Lead — E‑Commerce Growth

International Motors, LLC; Lisle (IL); On-site; USD 80,000 - 130,000; Full time

Job summary

International Motors, LLC seeks a Commercial Business Analytics Analyst to shape strategy and performance for its growing heavy‑duty truck parts e‑commerce business. You will analyze sales, pricing, and customer behavior to unlock revenue opportunities, build dashboards, and influence commercial decisions as the digital sales channel scales.

The role partners across Sales, Marketing, Product, Finance and Supply Chain to combine data from GA4, ERP, CRM and other sources, turning insights into

Qualifications

• Bachelor's degree or higher in a related field with data operations experience.
• Experience analyzing sales, pricing, margins, and digital performance.
• Strong SQL skills to extract and analyze data from complex databases.
• Experience translating analytics into clear business recommendations.

Responsibilities

• Analyze sales, pricing, margins, inventory and digital performance to drive revenue and profitability.
• Develop executive dashboards and BI reports to communicate trends and risks.
• Translate complex data into actionable insights for commercial leaders.
• Analyze customer journeys, traffic, conversion and basket metrics to optimize the online storefront.

Skills

Business Analytics

SQL/Data Analysis

Data Visualization

GA4 Analytics

Excel

BI Tools

Executive Communication

Problem Solving

Collaboration

Industry Experience

Education

Bachelor's degree in IT/Data Operations

Master's degree in IT/Data Operations

5+ years IT data operations experience

Tools

Power BI

Tableau

GA4

Job description

International Motors, LLC seeks a Commercial Business Analytics Analyst to shape strategy and performance for its growing heavy‑duty truck parts e‑commerce business. You will analyze sales, pricing, and customer behavior to unlock revenue opportunities, build dashboards, and influence commercial decisions as the digital sales channel scales.

The role partners across Sales, Marketing, Product, Finance and Supply Chain to combine data from GA4, ERP, CRM and other sources, turning insights into