Cerberus Capital Management

Commercial Business Analytics Analyst

Cerberus Capital Management • $80K — $95K *
Lisle, IL 60532In-Person
Retail & Consumer Goods
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree and 2 years in IT data operations experience or equivalent, or Master's degree with 1 year experience, or 5 years of relevant experience.
  • Strong SQL skills for data manipulation and analysis.
  • Advanced proficiency in data visualization tools like Power BI or Tableau.
  • Expertise in Google Analytics 4 (GA4) and web analytics.
  • Knowledge of statistical analysis, predictive modeling, and data mining techniques.

Responsibilities

  • Analyze sales and customer data to identify growth opportunities and drive revenue.
  • Create executive dashboards to report business performance and trends.
  • Translate complex data into actionable insights for commercial decision-making.
  • Evaluate customer journeys and digital sales metrics to enhance user experience.
  • Own and manage GA4 analytics and reporting.
  • Assess category performance and recommend pricing and inventory strategies.
  • Collaborate with cross-functional teams to identify and address analytical opportunities.

Benefits

  • Comprehensive benefits package supporting employee wellbeing.
  • Opportunities for professional growth in a dynamic e-commerce environment.
Full Job Description
Position Overview

International is seeking a Commercial Business Analytics Analyst to help shape the strategy and performance of our growing heavy-duty truck parts e-commerce business. This newly created role sits at the intersection of commercial strategy, customer behavior, e-commerce performance, and financial results, giving you the opportunity to directly influence how we grow revenue and profitability.

 

You’ll uncover what drives customers to buy, where opportunities are being missed, and how we can improve performance across the digital sales journey. From analyzing customer traffic and conversion trends to evaluating parts category performance, pricing, and margins, you’ll turn complex business data into clear, actionable recommendations for commercial leaders.

 

This is an opportunity for a commercially minded analyst who enjoys going beyond the numbers—connecting insights to business decisions, identifying opportunities, and helping build a high-performing digital sales channel from the ground up.

Responsibilities
  • Commercial & Revenue Analytics: Analyze sales, customer, product, pricing, margin, inventory, and digital performance data to identify opportunities that drive revenue, profitability, and sustainable growth.
  • Executive Dashboards & Business Intelligence: Develop and maintain executive-level dashboards and reporting solutions that clearly communicate business performance, trends, opportunities, and risks.
  • Action-Oriented Analytics: Translate complex data into clear, actionable insights and recommendations that enable leaders to make faster, more informed commercial decisions.
  • E-Commerce & Customer Analytics: Analyze customer journeys, website traffic, conversion rates, cart abandonment, average order value, and purchasing behavior to identify opportunities to improve the digital sales experience and increase conversion.
  • Google Analytics & Digital Performance: Own GA4 analytics and reporting, including web events, customer behavior, campaign performance, and digital funnel metrics. Partner with stakeholders to ensure analytics accurately reflect business objectives.
  • Parts & Category Performance: Evaluate parts category performance, gross margins, pricing, demand, inventory, and customer purchasing trends to identify high-value growth opportunities.
  • Promotional Performance: Analyze promotional effectiveness, campaign performance, and customer response to identify what is driving incremental sales and profitability.
  • Revenue Growth Analytics: Develop analytics and recommendations that support demand generation, sales growth, customer acquisition, retention, and commercial optimization.
  • Predictive & Advanced Analytics: Identify opportunities to apply statistical analysis, predictive modeling, and data mining to forecast demand, identify trends, optimize promotions, and uncover future revenue opportunities.
  • Dealer & Customer Performance: Develop insights into dealer and customer performance, purchasing behavior, product adoption, and opportunities for targeted growth.
  • Cross-Functional Partnership: Collaborate with Sales, Marketing, Product Management, Finance, Supply Chain, and other business teams to identify analytical opportunities and develop solutions that address real business needs.
  • Data Integration & Analysis: Combine data from GA4, transactional systems, ERP, inventory, CRM, and other business sources to create a comprehensive view of commercial performance.
  • Strategic Advisory: Present findings and recommendations to business and executive stakeholders, clearly connecting analytics to financial outcomes, business priorities, and strategic decisions.
  • Continuous Improvement: Proactively identify new analytics use cases, improve reporting capabilities, and develop innovative solutions that strengthen data-driven decision-making across the organization.
Minimum Requirements
  • Bachelor's degree and at least 2 years of information technology data operations experience

OR

  • Master's degree and at least 1 year of information technology data operations experience

OR

  • At least 5 years of information technology data operations experience
Additional Requirements
  • Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)
Desired Skills
  • Business & Commercial Analytics: Strong understanding of revenue, profitability, pricing, sales performance, customer behavior, demand generation, and e-commerce analytics.
  • SQL & Data Analysis: Strong SQL skills with the ability to extract, manipulate, join, and analyze data from complex databases.
  • Data Visualization & BI: Advanced experience developing executive-level dashboards and interactive reporting using Power BI, Tableau, or similar business intelligence tools.
  • Google Analytics: Strong knowledge of Google Analytics 4 (GA4), web analytics, event tracking, and digital customer journeys.
  • Statistical & Predictive Analysis: Knowledge of statistics, data mining, predictive modeling, forecasting, and analytical techniques used to identify trends and business opportunities.
  • Excel: Advanced Microsoft Excel skills, including data analysis, modeling, and developing business-focused reporting.
  • Data & Technology: Understanding of database structures, data relationships, data integration, and business intelligence environments. Knowledge of Microsoft Azure, Hadoop, or similar data platforms is preferred.
  • Business Acumen: Ability to understand complex business challenges and connect analytical findings to measurable commercial outcomes.
  • Executive Communication: Strong communication and presentation skills, with the ability to translate complex technical and analytical concepts into clear, concise business recommendations.
  • Problem Solving: Strong analytical and problem-solving skills with the ability to quickly process complex information, identify meaningful insights, and present them in a simple and actionable way.
  • Collaboration: Ability to work effectively across functions and partner with stakeholders to develop innovative analytics solutions that support business priorities.
  • Industry Experience: Experience in e-commerce, automotive, heavy-duty truck parts, industrial distribution, manufacturing, or a similar commercial environment is preferred.
Benefits and Compensation

This position offers competitive market-based compensation, along with a comprehensive benefits package designed to support employee wellbeing. You can learn more about the benefits offered for this position by visiting https://careers.international.com/#benefits.The expected salary offered for this position will fall within the stated range, with the final offer based on the candidates' applicable skills, knowledge, and experience.

About Cerberus Capital Management

Cerberus Capital Management is a private equity firm that specializes in distressed investing. The firm was founded in 1992 by Steve Feinberg and William L. Richter. Cerberus has invested in a variety of industries, including automotive, healthcare, real estate, and retail. The firm is known for its aggressive approach to investing and has been involved in several high-profile deals, including the acquisition of Chrysler in 2007.
Learn more about Cerberus Capital Management
Size
1,000 employees
Industry

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