Senior Analyst, Category Management

About this role

The Senior Analyst, Category Management is responsible for   supporting   category management initiatives, partnering with cross-functional teams and customers to develop and implement strategies that drive category growth and improve business performance. The role serves as   a data analytics   subject matter expert, analyzing customer and market data to identify trends, formulate recommendations, and support category assortment and planning processes. This position collaborates closely with   the Category Advisor   to develop category management tools   and reports , strengthen customer relationships, and deliver data-driven insights. Success in the role requires strong analytical, communication, and presentation skills, along with the ability to translate complex data into actionable business strategies.

Why This Role Matters

• Drives category growth   for key customers   by analyzing customer performance, identifying market trends, and developing data-driven strategies that improve overall business results. • S upports the   successful execution of category management initiatives and strengthen s   strategic customer relationships. • Supports   complex projects and category assortment processes, transforming customer and market data into actionable recommendations that support sales and business objectives. • Contributes to the development and enhancement of category management tools, helping the organization improve insights, decision-making, and long-term competitive advantage.

What You Will Do

• Lead and manage category management projects for key customers, deliver ing   customized solutions and driv ing   business growth. • Analyze customer, sales, and market data to identify trends, uncover opportunities, and develop strategic recommendations that improve category performance. • Build and maintain strong relationships with customers, serving as a n   analytical   subject matter expert. • Collaborate with   Category Management team   to develop, refine, and implement category management tools and processes. • Prepare and deliver customer presentations,   using data and analysis to answer questions and deliver insights. • Support data integration efforts, including customer data as well as Goodyear internal and external.

What We Are Looking For

• Bachelor’s degree in   Data Science, Analytics,   Business, or a related field; advanced degree preferred. • 5+ years of experience in a business environment, with a strong background in data analysis, business insights, and   data visualization. • Proficiency with Microsoft Excel, Access, and PowerPoint

What Sets You Apart • Experience with SQL or other programming language, Oracle, Snowflake, and Tableau

• Demonstrated ability to identify trends, solve complex business problems, and develop actionable recommendations based on customer and market data. • Experience presenting insights and strategic solutions to customers and stakeholders, with the ability to influence decision-making and drive results. • Strong communication and organizational skills, with the ability to manage multiple priorities.

Additional Details

• Typical Schedule: Remote -local (Bentonville, Arkansas)

• Relocation Available: No • Sponsorship Available: No • Travel: No

#LI-SH1

Goodyear is one of the world's largest tire companies. It employs about 63,000 people and manufactures its products in 49 facilities in 19 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate

If you need reasonable accommodation to complete the online application, or any other part of the employment process, please contact the Goodyear Candidate Care Line at 330.796.4500.

Goodyear is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by law.

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