Netflix Recruitment 2022 | Compensation Partner | Apply Now

Netflix Recruitment 2022: Netflix has announced a job notification for the post of Compensation Partner. A student from any discipline can apply for Netflix Recruitment 2022.

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Netflix Recruitment 2022:

Company NameNetflix 
Post NameCompensation Partner
Salary16 LPA*
Job LocationMumbai

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About Netflix:

Netflix is the world’s leading streaming entertainment service with over 195 million paid memberships in over 190 countries enjoying TV series, documentaries, and feature films across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause and resume watching, all without adverts or commitments.

In this role you will:

  • Design and evolve compensation data gathering tools and analytics (have a builders mentality)
  • Identify and evaluate external resources that will provide data that aligns with our philosophy of Top of Personal Market
  • Perform regular audits to determine gaps in our data, pro-actively work with Talent Acquisition to formulate a strategy to fill said gaps
  • Provide insights on the movement of compensation in the market to equip managers with data to ensure we pay top of personal market
  • Work with our data science teams to build out compensation models and actionable insights that will be key to decision making
  • Adapt our compensation philosophy to the APAC region AND help TA, HR and business managers add rigor to decisions

What we’re looking for:

  • Ability to think creatively and be agile, this is not your typical survey-driven compensation role
  • Strong analytical skills and ability to tell a story with insights and trends
  • Strong ability to plan proactively and react quickly confidence to rely on own judgment and discretion to work independently, take smart risks
  • Experience working with global compensation, businesses, and teams
  • Ability to embody the Netflix core valuesNavigate ambiguity and be comfortable with some level of inconsistency

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