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Lithia & Driveway

Is this your company?

Great place to learn the business, but too many reasons right now to leave once you've learned it. - Sales Manager Lithia & Driveway Employee Review

3.0
15 Jun 2008
Recommend
CEO approval
Business outlook

Pros

Lots of opportunity for advancement within the company. Great place to learn the car business, including finance, sales, management.

Cons

Employee turnover (especially in the sales department) is extremely high, approaching 200% per year for sales and around 100% company-wide, and that was before this big layoff they just had due to the downturn in the car business and the US economy in general. Lithia did/does a miserably bad job of competing in their metro dealerships. They have flip flopped on their business model first 180 degrees, then another 180 degrees back.They should be able to make it back to viability, but there is going to be some pain and suffering felt by a lot of employees (as if there hasn't been already).

Explore other reviews about Lithia & Driveway

5.0
6 Jun 2026
Recommend
CEO approval
Business outlook

Pros

Love what I do. Great team members.

Cons

Very Hot on summer days.

5.0
15 May 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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