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YASH Technologies invites an experienced HR/LMS Systems Analyst to join our IT organization, driving SAP SuccessFactors and ERP integrations across HR and Learning platforms. You will partner with HR stakeholders to deliver harmonized enterprise solutions and improved data insights.
Role requires 5+ years in SAP SuccessFactors and ECC, strong communication, testing and reporting skills, and a commitment to confidentiality within a global client environment.
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.
HR/LMS Systems Analyst
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.