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    Cargill - Total Rewards Analyst - Bengaluru, India - Cargill Business Services

    Cargill Business Services
    Cargill Business Services Bengaluru, India

    2 weeks ago

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    Description

    Job Purpose and Impact:

    The Total Rewards Analyst will conduct moderately complex analytics work to support total rewards initiatives and projects. In this role, you will provide data and insights that are driven by business needs or requests.

    You will partner closely with key stakeholders across total rewards and will drive the use of globally consistent tools and resources.

    Key Accountabilities:


    • Contribute to domain area compensation data requests and analysis through the creation of insightful proposals to help drive departmental decisions, including market pricing, salary competitiveness, comp ratio, compression analysis and department priorities.
    • Assist with decisions on key projects and business plan priorities by utilizing data and providing an analytic perspective.
    • Analyze insights and perspectives on department related research.
    • Support the market pricing system and data integration.
    • Ensure data accuracy within the technology systems and the department programs.
    • Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.
    • Other duties as Qualifications:
    • Bachelor's degree in a related field or equivalent experience
    • Proficient in a high level of compensation analysis, Business intelligence tools and Excel skills (e.g. JAVA, Excel, Regression analysis, etc. tied to position).
    • Other minimum qualifications may apply
    Preferred Qualifications:

    • 712 Years of core compensation analysis , process improvement and projects experience.
    • Proven expertise is managing complex compensation issues related to Review Cycles , Incentive cycles and Market salary researches
    • Inquisitive and takes an active interest in data accuracy
    • Excellent analytical and process skills
    • Ability to manage, analyze and manipulate data
    • Minimum two years of focused experience in analytics, compensation, and / or total rewards
    )
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