EIIC functional excellence organization is aligned with CTO’s strategy to drive “One Eaton Engineering Functional Excellence”. The Charter of this organization is to simplify & create better work experiences for our Engineers by transforming existing engineering work processes. EIIC functional excellence organization will work with global Engineering Functional Excellence leaders in CTO’s office, Electrical, and Industrial Sector businesses.
These organizations will be responsible for developing and deploying One Eaton processes across all sectors and businesses across the globe.
As Senior Engineer - Data Analyst and Automation engineer, you will be responsible for understanding the critical problem statements and find unique end-to-end solutions using Big Data Analytics and Automation expertise. You will also be responsible for establishing and deploying standard practices and processes for Process Automation, Big Data Analytics, Dashboards, and reporting and drive continuous improvement on these processes.
Primary Responsibility :
- Works with the various internal and external customers and Gathers and prioritizes customer needs and translates them into actionable requirements.
- Communicate insights to stakeholders, enabling data-driven decision-making across the organization
- Defines the end-to-end automation and solution architecture, including its components, functionalities, and interactions.
- Select the appropriate programming languages, tools, and frameworks considering factors like scalability, performance, and security.
- Establish coding standards and best practices to ensure the code is maintainable and efficient.
- Organize & assemble information from diverse data sources in such a manner that the data aggregation is easily replicable and maintainable.
- Proficiently identify and apply the appropriate data analytics algorithm and come with recommendations based on the insights generated.
- Report out results in the form of various dashboards reporting measurement against targets, historical data trends and data snapshots supporting the end customers data requirements.
- Strategizes new uses for data and its interaction with data design.
- Manage multiple projects and deliver results on time and with the requisite quality
- Strive to get internally and externally recognized in this area by continuously learning and developing project management standard works and dashboard reporting.
- Knowledge of Engineering and Program management data sets including SAP or Oracle datasets will be recommended
