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YASH Technologies, Inc. is seeking an HR/LMS Systems Analyst with 5+ years of SAP SuccessFactors and SAP ECC experience to optimize our HR and Learning platforms. You will partner with HR, Learning and IT to implement enterprise solutions and deliver improved services, data, and insights.
The role involves coordinating testing, defining reporting needs, and providing daily system support across global stakeholders while ensuring confidentiality and strong analytical performance.
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YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
Client Corporation is currently leading a search for an HR Systems Analyst to join our IT organization as we optimize and drive adoption of our enterprise Human Resources (HR) and Learning (LMS) platform initiative leveraging SAP SuccessFactors and integrating with SAP ERP. In this role, the individual will work with our HR and Learning stakeholders to drive and deliver harmonized, enterprise solutions and processes. Specifically, we are looking for an individual that will partner with our Business stakeholders and IT Operations to support and implement solutions at Clients Corporation using best practice guidance to deliver improved services, data and insights.
Bachelor’s degree in human resources, Accounting, Economics, Operations Management or Information Systems or related discipline
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment.We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.