Job description

Join the LKQ Family! We re looking for motivated individuals to join our team at LKQ Corporation. With opportunities for growth, competitive benefits, and a supportive work environment, LKQ is the place to be. Apply now and take the first step toward a rewarding career! Responsible for leveraging advanced analytics and data science to drive pricing strategies, optimize revenue, and maximize performance across our product offering within North America Supply Chain. Collaborate with cross-functional teams and pricing experts to create impactful pricing solutions, refine discount logic, and support consistency across product categories and regions. Essential Job Duties Partner with pricing and business experts to maintain, refine, and scale price-setting logic across downstream systems, supporting pricing consistency across categories and regions. Work alongside data professionals, including data engineers, IT, and Sr. Data Scientist to design robust data models and algorithms that support pricing systems, target discount logic, and other core data-driven solutions within the Supply Chain Org. Analyze large, diverse datasets to test hypotheses, conduct predictive modeling, and inform pricing decisions across product lines. Collaborates with Sr. Data Scientist pricing engines/algorithms for >1,000,000 individual SKUs across 5 price levels. Assists in shaping the Pricing Analytics roadmap by identifying emerging data science needs, recommending analytical tools, and proposing new methodologies to support the pricing function. Alongside Sr. Data Scientist, assists with KPI tracking to assess the effectiveness of pricing initiatives, detect trends, and support proactive, data-driven decision-making. Conduct ad-hoc analyses and reporting for real-time business needs, ensuring insights are accessible and relevant to key stakeholders. Build strong relationships with the Pricing leadership team and other cross-functional teams, establishing trust through consistent, high-quality insights and actionable recommendations. Assumes other duties as assigned. Supervisory Responsibilities Not responsible for supervising employees. Basic Qualifications Education & Experience Bachelor s Degree or equivalent work experience. 3 years of experience as a professional data scientist or equivalent work experience, Ideally, within industrial goods, engineering products, distribution, or B2B sales environments. Demonstrated expertise in data visualization and analytics tools, especially Power BI. Excellent collaboration and communication skills, with the ability to build trust and influence stakeholders across functions. High fluency using analytics tools in a business setting, including Excel and report-building software (experience with Power BI or SQL a plus). Preferred Qualifications Bachelor s or Master s degree in Statistics, Applied Math, Physics, Engineering, or a related field. Knowledge/Skills/Abilities Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rates, ratios, and percentages and to draw and interpret graphs. Demonstrate use of computer operations (programming, relational databases, and operating systems) and software packages. Regularly uses moderately complex oral and written skills. May train others in functional areas, interact with colleagues, and deliver presentations to departmental or middle management. Problems are varied and complex, requiring analysis or interpretation of the situation. Problems are solved using knowledge and skills, general precedents, and practices. Decisions impact the management and operations within a department or business unit. May contribute to business and operational decisions that affect the department. Results are defined; sets personal own goals and determines how to achieve results with few or no guidelines to follow; supervisor/manager provides broad guidance and overall direction. Handle multiple tasks or projects simultaneously with moderate complexity. Essential Physical Demands/Work Environment Work is primarily sedentary: must be able to sit for extended periods and use a computer, keyboard, and mouse, frequently. The employee must occasionally lift and/or move up to 25 pounds. Travel may be required periodically, including overnight stays. Benefits: Health/Dental/Vision Insurance Paid Time Off 401k with Generous Company Match Company Paid Life Insurance and Long-Term Disability Short-Term Disability Employee Assistance Program Tuition Reimbursement Employee Discounts Join us for an exciting career journey with positive, driven individuals.

Requirements

Must-haves

Partner with pricing and business experts to maintain, refine, and scale price-setting logic across downstream systems, supporting pricing consistency across categories and regions.
Analyze large, diverse datasets to test hypotheses, conduct predictive modeling, and inform pricing decisions across product lines.
Collaborates with Sr. Data Scientist pricing engines/algorithms for >1,000,000 individual SKUs across 5 price levels.
Assists in shaping the Pricing Analytics roadmap by identifying emerging data science needs, recommending analytical tools, and proposing new methodologies to support the pricing function.
Alongside Sr. Data Scientist, assists with KPI tracking to assess the effectiveness of pricing initiatives, detect trends, and support proactive, data-driven decision-making.
Conduct ad-hoc analyses and reporting for real-time business needs, ensuring insights are accessible and relevant to key stakeholders.
Build strong relationships with the Pricing leadership team and other cross-functional teams, establishing trust through consistent, high-quality insights and actionable recommendations.
Assumes other duties as assigned.
Supervisory Responsibilities
Not responsible for supervising employees.
Education & Experience
Bachelor s Degree or equivalent work experience.

Nice-to-haves

High fluency using analytics tools in a business setting, including Excel and report-building software (experience with Power BI or SQL a plus).
Bachelor s or Master s degree in Statistics, Applied Math, Physics, Engineering, or a related field.
Knowledge/Skills/Abilities
Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rates, ratios, and percentages and to draw and interpret graphs.
Demonstrate use of computer operations (programming, relational databases, and operating systems) and software packages.
Regularly uses moderately complex oral and written skills. May train others in functional areas, interact with colleagues, and deliver presentations to departmental or middle management.
Problems are varied and complex, requiring analysis or interpretation of the situation. Problems are solved using knowledge and skills, general precedents, and practices.
Decisions impact the management and operations within a department or business unit. May contribute to business and operational decisions that affect the department.
Results are defined; sets personal own goals and determines how to achieve results with few or no guidelines to follow; supervisor/manager provides broad guidance and overall direction.
Handle multiple tasks or projects simultaneously with moderate complexity.
Essential Physical Demands/Work Environment
Work is primarily sedentary: must be able to sit for extended periods and use a computer, keyboard, and mouse, frequently.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sql

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off