Transformation Lead

Company Description

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.

NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

Job Description

Location Type: Remote Employment Type: Full-time

Role Overview: As a Process Engineer (Panel Transformation Team), you will play a critical role in developing, optimizing, and implementing processes that enhance efficiency and quality across various functions on Operations. You will collaborate with cross-functional teams to design and refine processes and systems for Homescan and Omnishopper from users’ perspective, aiming to create the best user experience, ensuring outcomes meet the highest standards of performance and compliance as well as meet clients’ needs. In this role you will leverage advanced technologies and methodologies to optimize processes and drive transformation across various functions.

Key Responsibilities:

• Process Development: Design, develop, and troubleshoot advanced processes for Operations, with a focus on innovation, quality and efficiency.
• Data Simulation: Understand e2e data flow, the final product specs, raw data inputs, identify, quality and explain dependencies in between, build simulation methodologies and tools to test various upstream impacts on final data(product) delivered to clients.
• Project Management: Plan and execute projects, including the development of process modules and the analysis of experimental results, followed up with deployment across organization.
• Collaboration: Work closely with ops teams, engineering teams, operational leaders, product leaders, and other stakeholders to improve, standardize and innovate the processes.
• Compliance: Conduct compliance assessments and ensure all users comply with processes standards.
• Continuous Improvement: Monitor and update current system processes, identifying opportunities for improvement and implementing best practices.
• Technical Expertise: Utilize your strong technical background to develop new and improved processes, ensuring they align with company goals for safety, customer experience, capacity, quality, and cost.
• Process Automation: Apply robotics, machine learning, cognitive AI, and other technologies to develop and implement automation strategies.
• Client Collaboration: Work closely with internal clients to understand their needs, advise on process improvements, and implement transformative actions.

Key Technologies

• Robotics and Automation: Implementing robotic systems and automation technologies to streamline repetitive tasks and improve precision.
• Machine Learning and AI: Utilizing machine learning algorithms and artificial intelligence to analyze data, predict outcomes, and optimize processes.
• IoT (Internet of Things): Connecting devices and systems to collect real-time data, monitor performance, and make informed decisions.
• Data Analytics: Leveraging big data and advanced analytics techniques.