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Parts Advisor, Mount Gravatt

Tesla

Parts Advisor, Mount Gravatt

Tesla

Upper Mount Gravatt, Queensland

·

On-site

·

Full-time

·

Today

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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About Tesla

Tesla

Tesla

Public

A financial leasing taxi company that provides vehicles to customers

140,000+

Employees

Ciudad De Panamá

Headquarters

$800B

Valuation

Reviews

3.1

5 reviews

Work Life Balance

1.5

Compensation

1.2

Culture

1.3

Career

1.8

Management

1.1

15%

Recommend to a Friend

Pros

Strong financial performance

Revenue growth

Company achieving targets

Cons

Poor compensation and raises below inflation

Union-busting and anti-labor practices

Unpaid work demands and wage theft

Salary Ranges

3,570 data points

Junior/L3

Mid/L4

Junior/L3 · Associate Analyst

2 reports

$94,875

total / year

Base

$82,500

Stock

-

Bonus

-

$92,000

$97,750

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 75%

Negative 25%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Take-home Assignment

5

Panel Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Machine Learning Concepts