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Lithia & Driveway

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Office Worker - Anonymous employee Lithia & Driveway Employee Review

1.0
Aug 12, 2015
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

Lithe offers benefits. Many of my co-workers were great to work. They made the day tolerable.

Cons

The only thing that was consistent about the training was it was hard to get and of poor quality when you were "trained." Unprofessional atmosphere in the office. Unpleasant working environment, behind the shiny showroom is a filthy office with worn out and uncomfortable desks and furniture. Management was inconsistent with their behavior and attitudes toward the non-management office staff. You never knew what attitude you would encounter from one day to the next. If you enjoy being verbally abused whenever they need to vent, this is the job for you. Your position will also be on the low end of the pay scale compared to similar positions at other companies. Look for local employee reviews before accepting a position.

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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