Zimmer Biomet—Operational Excellence Specialist I

Job description

Description: At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds. As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered and recognised. What You Can Expect Job Summary The Data Analyst supports Manufacturing and Operational Excellence by delivering data-driven insights that improve efficiency, quality, delivery, and cost. This role partners with Manufacturing, Quality, Engineering, Supply Chain, Operational Excellence, and IT to strengthen reporting, data quality, automation, and decision-making. The position also supports OEE monitoring, predictive analytics, IoT-enabled data integration, digital twin initiatives, and data readiness for advanced analytics and AI-enabled solutions. Job Mode: 2 days WFH, 3 WFO. Location: Bangalore How You'll Create Impact Principal Duties and Responsibilities: - Develop dashboards, scorecards, and recurring reports using tools such as Power BI - Support OEE reporting and KPI tracking across manufacturing operations - Support predictive analytics, IoT data integration, and digital twin initiatives - Use SQL, Python, and ETL processes to support reporting, automation, and analytics - Monitor data accuracy, completeness, and timeliness, and help resolve issues as needed - Partner with business and IT teams to improve data standards, reporting processes, and governance - Analyze manufacturing and operational data to identify trends, risks, and improvement opportunities - Support continuous improvement initiatives as directed by the management This is not an exhaustive list of duties or functions and might not necessarily comprise all of the essential functions for purposes of the Americans with Disabilities Act. What Makes You Stand Out Expected Areas of Competence (i.e., knowledge, skills and abilities) - Strong analytical, problem-solving, and organizational skills - Experience with Power BI, SQL, Python, ETL, and reporting automation - Understanding of OEE, manufacturing KPIs, predictive analytics, IoT, and digital manufacturing concepts is a plus - Knowledge of data governance, master data, data cleansing, and reporting best practices - Strong communication skills and ability to work across business and IT teams - Attention to detail and passion for data accuracy and continuous improvement Your Background Education/Experience Requirements - Bachelor’s degree in business, Analytics, Operations, Engineering, Computer Science, or related field - 3–5 years of relevant experience, including at least 2 years in a data management or analytics environment - Experience supporting manufacturing, operations, supply chain, or operational excellence functions - Experience with visualization tools such as Power BI and working knowledge of SQL and Python - Exposure to OEE reporting, predictive analytics, IoT data, or digital manufacturing initiatives preferred Physical Requirements Travel Expectations Travel Requirements >5% EOE/M/F/Vet/Disability Skills: power bi, sql, python, etl, oee reporting, predictive analytics, iot data integration, digital twin initiatives, data governance, data cleansing, data reporting, continuous improvement, kpi tracking, dashboard development, scorecard creation, reporting automation, problem solving, organizational skills, cross-functional collaboration, stakeholder management, master data management, data quality monitoring, business analysis