Engineer II - Change Management & Analytics

Job description

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. DESCRIPTION: We are seeking an Engineer II – Change Management & Analytics to support global best-practice deployment, lessons learned management, supplier performance reporting, and knowledge infrastructure for the Global CM Documentation & Industrialization Hub. This role will convert manufacturing, supplier, and technology transfer information into accessible knowledge assets, dashboards, and performance insights that help the External Manufacturing organization improve decision-making, standardization, and continuous improvement across Contract Manufacturing partners. Key Responsibilities Maintain the Global Best Practices repository including content structure, taxonomy, tagging, searchability, and periodic refresh processes Develop and manage lessons learned databases from technology transfers, supplier interventions, manufacturing readiness reviews, and continuous improvement projects Support supplier performance dashboards, industrialization readiness reports, documentation governance metrics, and management review materials Collect, validate, organize, and analyze manufacturing, supplier, quality, documentation, and project execution data from multiple sources Create visual reports and dashboards to support KPI tracking, decision-making, escalation management, and governance routines Partner with Manufacturing Engineering, Quality, Procurement, Supply Chain, and Regional Directors to define meaningful metrics and reporting standards Identify trends, recurring issues, documentation gaps, and improvement opportunities across the external manufacturing network Support Idea Portal data management including idea intake, categorization, prioritization support, status tracking, and value capture reporting Improve knowledge accessibility through structured content design, metadata, dashboards, and user-friendly navigation Support periodic business reviews by preparing insights, summaries, and action trackers for leadership discussions Partner with documentation governance and digital platform owners to improve data quality, repository usability, and adoption Minimum Qualifications Bachelor's degree with 5+ years of experience or Master's degree with 3+ years of experience in Engineering, Data Analytics, Operations, Business Analytics, Information Management, or a related discipline Experience supporting analytics, reporting, knowledge management, operations performance, manufacturing data, or supplier performance metrics Preferred Qualifications Experience with Power BI, Excel advanced analytics, SharePoint, Power Platform, data visualization, dashboard development, or reporting automation Knowledge of manufacturing operations, supplier performance, industrialization, quality metrics, technology transfer, or operational excellence Experience designing knowledge repositories, taxonomy, metadata structures, lessons learned databases, or best-practice libraries Ability to convert complex operational data into clear insights, visuals, and executive-ready summaries Understanding of KPI governance, data quality, metric definitions, and performance management routines Experience supporting cross-functional business reviews, project tracking, continuous improvement initiatives, or value capture reporting Strong analytical, communication, and storytelling skills with a practical business orientation Strong attention to detail, data integrity mindset, and ability to manage multiple reporting priorities Key Competencies Data-driven decision support and insight generation Knowledge management discipline and content usability mindset Analytical problem-solving with strong business orientation Clear communication and executive-ready reporting Collaboration across technical and business stakeholders Continuous improvement mindset and curiosity Ownership of data quality, transparency, and actionable outcomes