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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Parts Advisor, Mount Gravatt

职能零售
级别应届/初级
地点Upper Mount Gravatt, Queensland
方式现场办公
类型全职
发布今天
立即申请

必备技能

Customer Service

What to Expect

Tesla Motors is looking for an experienced Parts Advisor to work on one of the most progressive vehicle brands in the world. This position requires a significant amount of customer interaction, so the ideal candidate will not only possess the customer service acumen, but also the ability to provide a basic level of technical support service. 

The role will require travel as needed and directed by management. If you are interested in becoming a part of a world class service team supporting the latest EV technology, we are interested in hearing from you.

What You'll Do

  • Answer phone calls, emails and drive-ins to address any customer concern with the highest level of response and attention
  • Return missed phone calls and emails promptly
  • Receive stock, pick, ship and transact materials inventory to support the needs of vehicle service
  • Accurately record parts transactions and data into Dealer Management System – attention to detail critical
  • Conduct Transactions w/ systems; walk customer through order and provide summary
  • Escalate any issues that need to be addressed to correct any inbound packaging issues from our internal and external suppliers
  • Maintain records of time, expenses and materials
  • Communicate estimated parts ship and arrival time, including regular updates.
  • Follow up with customer on parts order and ensure complete satisfaction with the order
  • Perform other related duties as assigned
  • Help maintain cleanliness of service centre
  • Effectively handle multiple priorities, organize workload, and meet deadlines

What You'll Bring

  • Knowledge of methods, techniques, parts, tools and materials used in the maintenance and repair of vehicles
  • Understanding of basic automotive techniques related to repair and servicing of automobiles
  • Experience in automotive equipment and servicing methods
  • DMS Systems, SAP, MS Office Suite
  • 1-3 years’ experience in the automotive industry
  • Excellent oral and written communication skills as well as the ability to follow instructions required
  • Ability to establish and maintain cooperative working relationships with those contacted in the course of work, including the public
  • Maintain and perform top level professional integrity and appearance as a parts advisor
  • Dealer automotive service experience a plus

Compensation and Benefits

Benefits

In addition to a competitive compensation package, Tesla Australia & New Zealand is pleased to offer the following benefits for permanent employees:

  • Employee Stock Purchase Plan (ESPP)
  • Parental leave (no minimum employment period)
  • Primary carers – 18 weeks at full pay or 36 weeks half pay
  • Secondary carers – 6 weeks full pay
  • Employee Vehicle Loan Program
  • Novated Leasing (AU only)
  • Well-being Fund – An annual allowance for all employees to support their well-being in ways that are meaningful to them
  • Bike to work – $10 per day if you cycle to work
  • Birthday Leave & Volunteer Leave

Some eligibility criteria may apply, benefits detailed above are subject to change / withdrawal at Tesla’s discretion with no prior notice.


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关于Tesla

Tesla

Tesla

Public

A financial leasing taxi company that provides vehicles to customers

140,000+

员工数

Ciudad De Panamá

总部位置

$800B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

2.3

薪酬

4.0

企业文化

3.2

职业发展

4.1

管理层

2.8

65%

推荐率

优点

Innovative projects and cutting-edge technology

Great team and supportive colleagues

Good compensation and benefits

缺点

Long hours and poor work-life balance

High pressure and tight deadlines

Management issues and high expectations

薪资范围

1,403个数据点

Junior/L3

Mid/L4

Junior/L3 · Associate Analyst

2份报告

$94,875

年薪总额

基本工资

$82,500

股票

-

奖金

-

$92,000

$97,750

面试评价

4条评价

难度

3.5

/ 5

时长

14-28周

体验

正面 0%

中性 75%

负面 25%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Take-home Assignment

5

Panel Interview

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Machine Learning Concepts