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Lithia & Driveway

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Never ending days of hell - Sales Consultant Lithia & Driveway Employee Review

1.0
Dec 3, 2011
Recommend
CEO approval
Business Outlook

Pros

Great employees in both sales and service. This particular location has two dealerships on one campus, both high quality imports. Great cars to sell if you have enough inventory.

Cons

Extremely abusive management. Old school sales techniques that belong more on a movie screen. Favortism towards those who are doing very well and degrading comments made during sales meetinings towards those who aren't doing as well. Waiting in line in the Sales Managers office to "work a deal" while he is playing with his smart phone or chatting with another person. The hours are long and forget about taking a day off. The GM lives and breaths car sales and expects his sales people to do the same. It's a good thing you can't sell cars on Sunday in Iowa otherwise you would not see your family at all.

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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