Love working here, only small improvements needed - Recensione dipendente - Merchandising Manager presso Lithia & Driveway

4,0
17 gen 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Benefits are great. Health insurance is actually very good and you have a generous amount of PTO. Overall I have really enjoyed my time here and have had some excellent managers, learned a lot about the car business, and been able to take care of some amazing customers. I would say over 90% of the time, I look forward to coming to work every day which is more than what I can say about any other place I’ve worked prior.

Svantaggi

I take pictures of cars outside in the elements all year round whether it’s -10° or 110°. Somehow this multi-billion dollar company can’t spring for a photo booth. I also don’t feel like a very important part of the team or like my job makes a difference for the dealership as a whole.

avatar
Risposta di Lithia & Driveway
4mo
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.

Esplora altre recensioni su Lithia & Driveway

5,0
6 giu 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

Love what I do. Great team members.

Svantaggi

Very Hot on summer days.

5,0
15 mag 2026
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

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.

Svantaggi

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.

Vedi recensioni per: Utile|Valutazione|Data|Tutto