Hiring: People Analytics, Senior Analyst Company: Everest Location: Warren, NJ Job Posted Time: 2026-09-10 10:56:50 Employment Type: Hybrid Target Skills & Keywords : Machine Learning, Python, R, SQL, Stakeholder Management, Workday About the job Experience: •3+ years of experience in People Analytics, HR Analytics, Business Analytics, Workforce Planning, or a related discipline. Required Skills: •Everest Group, Ltd. is seeking a People Analytics Analyst to join the Human Resources team. This role is based in Warren, NJ and follows a hybrid work schedule. •Lead workforce analyses that identify trends, risks, and opportunities related to attrition, talent movement, diversity, organizational effectiveness, workforce productivity, and other key people metrics. •Partner with HR, Finance, Talent Acquisition, Compensation, and business leaders to provide data-driven insights and recommendations that support strategic workforce and talent decisions. •Develop workforce planning analyses, forecasts, and scenario modeling to support organizational planning and business growth. •Design, develop, and maintain executive dashboards, scorecards, and reporting solutions using Power BI and other analytics tools. •Translate complex workforce data and statistical findings into clear, actionable insights for senior leadership. •Support executive reporting, business reviews, and enterprise people metrics through recurring and ad hoc reporting. •Leverage predictive analytics, automation, AI, and advanced analytical techniques to improve workforce decision-making and reporting efficiency. Qualifications: •Bachelor's degree in Analytics, Data Science, Statistics, Business, Economics, Industrial/Organizational Psychology, Human Resources, or a related field. •Advanced proficiency with Power BI or similar business intelligence and data visualization platforms. •Knowledge of statistical methods, predictive analytics, trend analysis, and data modeling techniques. •Strong consulting, stakeholder management, data storytelling, and communication skills. •Demonstrated ability to influence decisions through data-driven insights while maintaining a high degree of accuracy, attention to detail, and intellectual curiosity. •Master's degree in Analytics, Data Science, Statistics, Business Administration, Human Resources, or a related field. •Knowledge of HR data governance, privacy, and data management best practices. Compensation: •$75,000 - $105,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!