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Lithia & Driveway

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Best Place I've Ever Worked - 23 Years Strong - General Manager Lithia & Driveway Employee Review

5.0
Sep 25, 2025
Recommend
CEO approval
Business Outlook

Pros

I've been with Lithia Motors for 23 years, and it has truly been the best place I've worked. The company provides a supportive senior management team that values its people. Unlike many other large auto groups, they give their General Managers the autonomy to perform their jobs effectively while still providing the resources and guidance needed to succeed. Lithia promotes a culture of growth, trust, and accountability, which has allowed me to thrive both personally and professionally.

Cons

Like any dealership group, the work can be demanding at times, but the support and opportunities far outweigh the challenges.

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Lithia & Driveway Response
8mo
Thank you for taking the time to share your experience. We’re thrilled to hear that you value our collaborative culture and the opportunities for growth here.

Explore other reviews about Lithia & Driveway

5.0
Jun 6, 2026
Recommend
CEO approval
Business Outlook

Pros

Love what I do. Great team members.

Cons

Very Hot on summer days.

5.0
May 15, 2026
Recommend
CEO approval
Business Outlook

Pros

Strong exposure to real business data from automotive sales, finance, inventory, and customer operations. Opportunity to work on high-impact analytics that directly affect dealership performance and revenue. Large-scale company with many datasets and business units, which is good for learning business intelligence and predictive analytics. Growing digital transformation initiatives can provide opportunities to work with modern analytics tools and automation.

Cons

Legacy systems and fragmented data sources may make data cleaning and integration challenging. Traditional corporate structure can sometimes slow down decision-making or the implementation of data-driven ideas. Work may lean more toward reporting/dashboarding than advanced machine learning, depending on the team. Stakeholders may prioritize quick operational insights over long-term data science experimentation. A high-pressure retail environment can lead to tight deadlines and rapidly changing priorities.

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