HR Analytics Trainer

3 - 7 years

0 Lacs

Posted:2 weeks ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As an HR Analytics Trainer, you will be responsible for delivering high-impact training sessions on data-driven HR practices. Your expertise in Human Resource Management, HR metrics, and data analysis tools will enable you to mentor professionals effectively. **Key Responsibilities:** - Design and deliver training programs on HR Analytics concepts, tools, and techniques. - Teach participants to analyze HR data for strategic decisions in talent acquisition, employee engagement, performance management, and retention. - Provide hands-on sessions using tools such as Excel, Power BI, Tableau, Python, or R. - Explain key HR metrics like employee turnover, cost per hire, time to fill, absenteeism rate, and more. - Develop case studies, real-time projects, and exercises to enhance learner understanding. - Update training content based on the latest HR trends and analytical methods. - Conduct assessments and provide feedback to learners. - Collaborate with L&D or academic teams to customize training as per audience needs. **Required Skills and Qualifications:** - Bachelors or Masters degree in HR, Business Analytics, Data Science, or related fields. - Proven experience in HR analytics or as an HR professional with analytics expertise. - Strong knowledge of HR processes and metrics. - Proficiency in analytical tools like Excel (advanced), Power BI, Tableau, Python, or R. - Experience in data visualization and storytelling using HR data. - Excellent communication, presentation, and facilitation skills. - Prior experience in training or teaching is highly desirable. **Preferred Qualifications:** - Certification in HR Analytics, Data Analytics, or a related domain. - Experience with HRIS or HCM platforms like SAP SuccessFactors, Workday, Oracle HCM, etc. - Familiarity with statistical techniques and predictive modeling. The work environment may involve weekend or evening sessions depending on learners" schedules. Access to e-learning platforms or LMS will be provided if applicable. **Job Types:** Part-time, Freelance **Schedule:** - Day shift - Evening shift - Fixed shift - Monday to Friday - Morning shift - Rotational shift **Language:** English (Required) **Work Location:** In person,

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