Data and Analytics Rewards

About the role

About Signify Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond. At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career. Join us, and together, we'll transform our industry, making a lasting difference for brighter lives and a better world. More about the role Job Summary Analyzes compensation data to ensure the company maintains competitive pay structures. Collaborates with HR teams to support the development and implementation of reward programs. Utilizes data and reports to enhance program effectiveness. Key Areas of Responsibility - Conducts extensive market research to analyze current compensation benchmarks.and identify trends - Collaborates closely with HR and Rewards colleagues to support the design of effective and innovative reward programs - Prepares detailed and comprehensive Rewards tools, data reports and data insights and presents them in a clear, visually compelling way - Translates data into clear, actionable narratives that aid decision making and improve the employee experience. - Assists meticulously in the development of structured salary frameworks and pay structures - Evaluates the effectiveness of existing reward programs and makes insightful recommendations for improvements. - Ensures strict compliance with all legal and regulatory requirements in compensation practices. - Supports global or regional reward processes and projects Critical Experiences - University degree in Human Resources, Business Administration, Finance, or a related field. - Minimum 3 years of experience in HR analytics, or a related field, with a focus on data analysis, automation, benchmarking. Experience in employee compensation and benefits beneficial but not required - Experience in proficiently leveraging Excel and PowerBI, experience with optimal utilization of GenAI, experience with data visualization - Everything we'll do for you You can grow a lasting career here. We'll encourage you, support you, and challenge you. We'll help you learn and progress in a way that's right for you, with coaching and mentoring along the way. We'll listen to you too, because we see and value every one of our 27,000+ people. We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce present in 70+ countries, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together. Come join us, and together we can light up the future.