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Tesla
Tesla

Accelerating the world's transition to sustainable energy.

Senior Employee Relations Partner, Berlin (m/w/d)

RoleHR
LevelSenior
LocationBerlin, Germany
WorkOn-site
TypeFull-time
PostedToday
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What To Expect
The Employee Relations Partner conducts investigations into employee relations concerns and supports overall positive workforce engagement. This position is both hands-on and strategic and requires a high degree of collaboration to provide investigative and employee relations expertise. This is a full-time onsite position.

What You'll Do

  • Independently conduct unbiased investigations, determine findings, and prepare all required documentation. This includes but is not limited to preparing a clear and concise report summarizing findings of the investigation in accordance with applicable local laws, as well as maintaining case management/tracking tools
  • Conduct in-person, web-based and phone-based witness interviews. Analyze information collected from witnesses and evidence and reach timely and well-reasoned conclusions. This includes effectively assessing witness credibility and fostering effective communication with all individuals involved in the investigative process
  • Maintain confidentiality and sensitivity to all issues
  • Identify relevant investigation issues, potential evidence and investigative actions and identify and partner with other teams as appropriate to ensure follow-up on employee concerns
  • Maintain consistent interactions with leaders, partners, and employees to help navigate new or critical situations that require ER expertise spontaneously
  • Participate in projects led by the Employee Relations team as needed


  • What You'll Bring

  • Experience with workplace investigations into allegations of harassment, discrimination and retaliation
  • Bilingual English/German is essential; Polish or other language skills would be ideal
  • Knowledge of and experience applying local laws, statutes, which govern employment policies and practices
  • Thorough understanding and application of workplace investigations best practices and standards, including conducting neutral fact-finding interviews, navigating key partnerships, credibility assessments, and maintaining confidentiality
  • Excellent planning, organization and time management skills, attention to detail, ability to handle multiple tasks, and work in a fast-paced, time-sensitive environment
  • Ability to objectively communicate with employees and management through complex, difficult, and emotional issues. Outstanding written and verbal communication skills
  • Strong business acumen demonstrated through familiarity with internal and external HR principles, concepts, practices, and standards


  • , Tesla

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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

    10 reviews

    3.8

    10 reviews

    Work-life balance

    2.3

    Compensation

    4.0

    Culture

    3.2

    Career

    4.1

    Management

    2.8

    65%

    Recommend to a friend

    Pros

    Innovative projects and cutting-edge technology

    Great team and supportive colleagues

    Good compensation and benefits

    Cons

    Long hours and poor work-life balance

    High pressure and tight deadlines

    Management issues and high expectations

    Salary Ranges

    1,403 data points

    Junior/L3

    Mid/L4

    Senior/L5

    Junior/L3 · ASSOCIATE MANAGER, LOGISTICS

    2 reports

    $131,560

    total per year

    Base

    $114,400

    Stock

    -

    Bonus

    -

    $131,560

    $131,560

    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