Source description
About the role
As an HR Analytics Specialist at Argus, you will be responsible for leveraging data and analytics to drive HR strategies and decisions. Your role will involve the following key responsibilities: - HR Analytics with GenAI Integration: - Data Analysis & Insight Generation: Utilize GenAI tools to analyze structured and unstructured HR data, generating actionable insights for workforce planning, engagement, and performance. - AI-Augmented Reporting: Develop dynamic reports and dashboards using AI to automate narrative generation and highlight key trends. - Trend & Sentiment Analysis: Use AI models to detect patterns in employee feedback, surveys, and performance data to support strategic HR decisions. - Predictive & Prescriptive Analytics: Implement AI-driven models to forecast attrition, hiring needs, and training effectiveness, enabling proactive HR interventions. - Power BI & AI-Enhanced Dashboards: - Dashboard Development: Design interactive dashboards integrating GenAI for real-time insights and automated commentary. - Data Integration: Connect multiple HR data sources, including Workday, ATS, and engagement platforms, into unified Power BI views. - AI-Driven Alerts: Set up intelligent alerts and recommendations using AI to flag anomalies or opportunities in HR metrics. - Training & Adoption: Train HR teams on interpreting AI-enhanced dashboards and using them for decision-making. - HR Automation & Agentic AI: - Agentic AI Implementation: Design and deploy autonomous HR agents to handle tasks such as onboarding, policy queries, and employee support. - Workflow Automation: Use AI to streamline repetitive HR processes (e.g., leave approvals, document generation, compliance tracking). - System Optimization: Integrate GenAI into Workday or other HRIS platforms to enhance user experience and data accuracy. - Employee Experience: Deploy conversational AI agents to support employees with real-time, personalized HR assistance. - ATS & AI-Driven Recruitment: - AI-Powered Talent Matching: Utilize GenAI to screen resumes, match candidates to roles, and reduce bias in hiring. - Automation of Recruitment Workflows: Implement AI agents to schedule interviews, send updates, and manage candidate communications. - Data-Driven Hiring Decisions: Generate AI-based recruitment insights and predictive hiring success scores. - ATS Optimization: Enhance existing ATS with AI plugins or integrations for smarter candidate tracking and reporting. In addition to the above responsibilities, your role as an HR Analytics Specialist at Argus will require a Bachelor's degree in human resources, Business Administration, Data Analytics, or a related field. A Master's degree is preferred. You should have a minimum of 3 years of experience in HR analytics or a related role, strong analytical skills, proficiency in Power BI, experience with HR automation tools (Workday or similar HRIS), and ATS management. Advanced knowledge of data analysis tools and techniques, excellent communication and interpersonal skills, proven project management experience, and a high level of accuracy and attention to detail are also essential attributes for this role. Argus, headquartered in London, is the leading independent provider of market intelligence to the global energy and commodity markets. With a presence in 30 offices worldwide and a team of 1,500 employees, Argus offers essential price assessments, news, analytics, consulting services, and industry conferences to illuminate complex commodity markets. As an Employee in People, Argus promotes professional development and offers a competitive salary, a hybrid working policy, group healthcare scheme, annual leave, casual leave, and extensive training opportunities. Join Argus, where smart people belong and where you can grow your career by contributing to shaping new futures in the global energy and commodity markets. As an HR Analytics Specialist at Argus, you will be responsible for leveraging data and analytics to drive HR strategies and decisions. Your role will involve the following key responsibilities: - HR Analytics with GenAI Integration: - Data Analysis & Insight Generation: Utilize GenAI tools to analyze structured and unstructured HR data, generating actionable insights for workforce planning, engagement, and performance. - AI-Augmented Reporting: Develop dynamic reports and dashboards using AI to automate narrative generation and highlight key trends. - Trend & Sentiment Analysis: Use AI models to detect patterns in employee feedback, surveys, and performance data to support strategic HR decisions. - Predictive & Prescriptive Analytics: Implement AI-driven models to forecast attrition, hiring needs, and training effectiveness, enabling proactive HR interventions. - Power BI & AI-Enhanced Dashboards: - Dashboard Development: Design interactive dashboards integrating GenAI for real-