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Location
In office (United States)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 13, 2026.

Overview
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Profile match
O'Reilly Auto Parts is an American retailer of automotive aftermarket parts, tools and accessories, founded in 1957. It sells to do-it-yourself customers and professional installers through its stores and websites, supported by UX designers for its apps. The company is headquartered in Springfield, United States.

A Merchandise Data Analyst researches and explores data-based information using data analysis tools. The goal of a Merchandise Data Analyst is to share meaningful insights from data that helps our Product Management team and other key stakeholders make important operational decisions. You will perform analyses of promotional effectiveness, marketing efforts, customer loyalty data, and product performance. Strive to continually improve our reporting systems and analytical capabilities for both our team members and supplier users. Present and defend recommendations to mid-management and senior level management.

ESSENTIAL JOB FUNCTIONS

Produce, validate, and maintain merchandise reporting using tools such as Excel, Snowflake, Sigma, and Mastercard Test & Learn.

Provide insight into existing merchandise reports and identify opportunities for improvement.

Develop a comprehensive understanding of the data sources utilized by the Merchandise Data team, including Snowflake, supplyLINE, Sigma, and Mastercard Test & Learn (A/B testing) to support data-driven business decisions.

Produce and monitor projects such as Mastercard Test & Learn tests, business plans, and product performance.

Prepare and present analytical findings and recommendations to Category Management team and other key stakeholders.

Run weekly, monthly and quarterly reports.

Collaborate with Merchandise and other cross-functional teams to support merchandising decisions through data analysis and reporting.

SKILLS/EDUCATION/KNOWLEDGE/EXPERIENCE/ABILITIES

2 year or 4-year degree in Business/Marketing, Data Analytics, Economics or Mathematics.

Strong analytical skills.

Strong interpersonal, communication, and collaborative skills.

Proficient with Excel and Word.

Ability to work with limited supervision.

O’Reilly Auto Parts has a proven track record of growth and stability. O’Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.

Total Compensation Package:

  • Competitive Wages & Paid Time Off

  • Stock Purchase Plan & 401k with Employer Contributions Starting Day One

  • Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)

  • Team Member Health/Wellbeing Programs

  • Tuition Educational Assistance Programs

  • Opportunities for Career Growth

O’Reilly Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national origin or ancestry (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and related medical conditions,) age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable.

Qualified individuals with a disability may be entitled to reasonable accommodation under the Americans with Disabilities Act. If you require a reasonable accommodation during the application or employment process, please send an email to: [email protected] or call 417-862-2674, ext. 68901, and provide your requested accommodation, and position details.

Consistent with internal policy and applicable law, the Company electronically monitors the use of Company-provided systems, including telephone conversations and transmissions, Internet access and usage, and electronic mail and transmissions. The Company additionally employs video cameras in common internal and external areas.

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