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トレンド企業

トレンド企業

採用

求人Tesla

Estimator

Tesla

Estimator

Tesla

Tampa, Florida

·

On-site

·

Full-time

·

Today

必須スキル

Customer Service

What To Expect
The Tesla Collision Repair Program is looking for a Collision Estimator to work on one of the most progressive vehicle brands in the world. This position will involve supporting the Body Repair Program in all aspects. 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

  • Create repair estimates for collision damaged Tesla Model S, Model X, Model Y, and Model 3 vehicles that arrive for repair (Technical estimating, no sales estimating)
  • Build repair plans in accordance with Tesla specific repair procedures 
  • Direct disassembly technicians as to the pace and scope of disassembly to expose all damages up front
  • Communicate with insurance company to submit claim and billing
  • Direct Collision Technicians to perform repair attempts where Repair VS Replace is not clear
  • Update customer on vehicle progress 
  • Close billing and delivery of vehicle 


  • What You'll Bring

  • 5+ years of automotive collision damage estimating experience 
  • Knowledge of insurance procedures and requirements 
  • Proficient with Computers, as well as CCC, Audatex, or Mitchell Estimating Software 
  • Automotive knowledge/background; willingness to be cross trained in career advancing management roles as needed 
  • Excellent verbal, and written communication skills; excellent customer service skills 
  • I-CAR certification, preferred 
  • Valid Driver's License, Preferred


  • Benefits
    Compensation and Benefits
    Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program


  • , Tesla

    総閲覧数

    0

    応募クリック数

    0

    模擬応募者数

    0

    スクラップ

    0

    Teslaについて

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    従業員数

    Ciudad De Panamá

    本社所在地

    $800B

    企業価値

    レビュー

    3.1

    5件のレビュー

    ワークライフバランス

    1.5

    報酬

    1.2

    企業文化

    1.3

    キャリア

    1.8

    経営陣

    1.1

    15%

    友人に勧める

    良い点

    Strong financial performance

    Revenue growth

    Company achieving targets

    改善点

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    給与レンジ

    1,397件のデータ

    Junior/L3

    Mid/L4

    Senior/L5

    Junior/L3 · ASSOCIATE MANAGER, LOGISTICS

    2件のレポート

    $131,600

    年収総額

    基本給

    $114,400

    ストック

    -

    ボーナス

    -

    $131,600

    $131,600

    面接体験

    4件の面接

    難易度

    3.5

    / 5

    期間

    14-28週間

    体験

    ポジティブ 0%

    普通 75%

    ネガティブ 25%

    面接プロセス

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    よくある質問

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts