Engineer II - Change Management & Analytics
On-siteHyderabad, Telangana, India
Job Summary
Maintain the Global Best Practices repository by managing content structure, taxonomy, and tagging while converting manufacturing and supplier information into accessible knowledge assets. Develop lessons learned databases from technology transfers and support supplier performance dashboards that track industrialization readiness and documentation governance metrics. Collect, validate, and analyze data from multiple sources to create visual reports for KPI tracking, escalation management, and leadership business reviews. Partner with Manufacturing Engineering, Quality, and Supply Chain stakeholders to define reporting standards and identify improvement opportunities across the external manufacturing network.
Required 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
Desired 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
- 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
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