Job Description

We are seeking a skilled and passionate HR Analytics Trainer to deliver high-impact training sessions on data-driven HR practices. The ideal candidate will have strong expertise in Human Resource Management, HR metrics, and data analysis tools, and be capable of mentoring professionals to make informed decisions through HR analytics. Key Responsibilities: Design and deliver training programs on HR Analytics concepts, tools, and techniques. Teach participants to analyze HR data to drive 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 (as applicable). 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. Continuously update training content based on the latest HR trends and analytical methods. Conduct assessments and provide feedback to learners on their performance and progress. Collaborate with L&D or academic teams to customize training as per audience needs. Required Skills and Qualifications: Bachelor's or Master's 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. Work Environment: May involve weekend or evening sessions depending on learners' schedules. [Specify if remote delivery is available.] 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