Unorganized and high school drama with adults - Recensione dipendente - Dealership Accountant presso Lithia & Driveway

2,0
11 gen 2023
Consiglia
Gradimento del CEO
Pronostico commerciale

Vantaggi

* Good benefits and stock program

Svantaggi

Underpaid for amount of work given, whenever shown anything or given training they show you for 30 minutes max and expect perfection and to work through either the schedule, posting of deals or any accounting work with no prior knowledge. Management is unorganized and unsure of almost everything that goes on, no clear direction or guidance and rush through training. The high school drama that happen is horrendous, bickering and constant gossip amongst the employees including management is sad and irritating, The pay with the amount of work is awful and with lithia bringing on more stores into the specific APC , there needs to be change and a pay raise to keep the staff there happy and wanting to work

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.

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