Operational Excellence Specialist I

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

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.

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

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

Travel Requirements >5%

EOE/M/F/Vet/Disability