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トレンド企業

トレンド企業

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求人Tesla

Construction Project Coordinator, Infrastructure Programs

Tesla

Construction Project Coordinator, Infrastructure Programs

Tesla

Fremont, California

·

On-site

·

Full-time

·

Today

必須スキル

Excel

What To Expect
Tesla is seeking a detail-oriented Project Coordinator to join our dynamic EPC project team. This role involves resource tracking and management, data analysis for strategic decision making and optimizing processes for successful execution of large scale capital projects. Success in this role requires a commitment to precision, collaboration, and alignment with Tesla’s mission-driven goals.

What You'll Do

  • Collaborate with stakeholders across disciplines (e.g., Electrical, CSA, Mechanical, and I&C) to ensure accurate and timely submission of daily timekeeping logs for labor resources; proactively address discrepancies and implement tools to maintain compliance and data quality
  • Verify timekeeping data for accurate allocation to project scopes, ensuring alignment with labor invoicing requirements and contractual obligations; conduct audits to identify and resolve billing variances, supporting financial accuracy
  • Populate and maintain weekly labor hour reports, incorporating tracking, project burn rates, and variance analysis; provide insights on trends and recommendations for optimizations to enhance resource efficiency and cost control
  • Perform data analysis on project metrics to identify trends, efficiencies, and areas of improvement; generate reports to support decision-making
  • Help develop and implement standards, best practices, and standard operating procedures (SOPs) for projects; conduct reviews to refine processes and enhance efficiency
  • Build and implement downstream workflows to enhance operational efficiencies; collaborate with teams to streamline processes, reduce redundancies, and integrate tools for automation and better resource flow
  • Manage and implement document workflows, including version control, archiving, and distribution; ensure all records (e.g., contracts, reports, and compliance documents) are accurate, up-to-date, and compliant with internal policies and standards


  • What You'll Bring

  • Bachelor's Degree in Business Administration or equivalent experience Basic understanding of construction jobsite workflows and discipline-specific roles (Electrical, Mechanical, etc.)
  • Proficiency in Microsoft Excel (formulas, pivot tables, data validation) and Power BI (dashboards, reporting)
  • Strong attention to detail and ability to cross-reference timekeeping data with project documentation
  • Excellent communication skills to coordinate between field teams and back-office billing departments
  • Prior experience in labor tracking, project coordination, or administrative support in a construction environment
  • Data analytics background for interpreting labor trends and optimizing reporting
  • Familiarity with construction labor billing processes and scope coding systems as well as a strong knowledge of Project Controls, Estimating & experience adhering to budgets
  • Willingness to travel to other projects up to 20% of time


  • 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


  • Expected Compensation

    $18.40 - $57.60/hour + cash and stock awards + benefits

    Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

    , Tesla

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    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