Senior Engineer - Data Analyst
Confirmed on the employer's own hiring board on Oct 4, 2026. First seen by Alion on Sep 29, 2026. Eaton scores A on the Alion truth index.
What you’ll do:
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
Qualifications:
Bachelor’s Degree in Computer/Electrical/Mechanical/Electronics Engineering with 6-9 Yrs experience. Strong understanding of organizational processes
Skills:
Technical Knowledge
- Professional experience in database management, data solution development, data transformation, and data quality assurance.
- Experience with of one or more BI tools Experience interacting with batch (ETL/ELT) and on-demand (API, SQL) data integration methodologies
- Basic understanding of one or more data modeling techniques (3rd normal form, Star, Snowflake)
- Demonstrated dashboard development covering different KPIs across different domains
- Demonstrated data visualization experience in one or more technologies (e.g., Power BI, Grafana, R, Python) to create interactive analytics solutions
- Experience developing and supporting data pipelines inclusive of code, orchestration, and quality
- Basic understanding of DevSecOps and CI/CD principles and tools
- Experience with of one or more BI tools
- Experience interacting with batch (ETL/ELT) and on-demand (API, SQL) data integration methodologies
- Basic understanding of one or more data modeling techniques (3rd normal form, Star, Snowflake)
- Demonstrated dashboard development covering different KPIs across different domains
- Demonstrated data visualization experience in one or more technologies (e.g., Power BI, Grafana, R, Python) to create interactive analytics solutions
- Experience developing and supporting data pipelines inclusive of code, orchestration, and quality
- Basic understanding of DevSecOps and CI/CD principles and tools
Soft Skills
- Process Management-Good at figuring out the processes necessary to get things done, knowing how to organize people and activities, knowing what to measure and how to measure it, Can simplify complex processes, Gets more out of fewer resources
- Problem Solving - Uses rigorous logic and methods to solve difficult problems with effective solutions, probes all fruitful sources for answers, can see hidden problems, Is excellent at honest analysis Looks beyond the obvious, and doesn't stop at the first answers
- Decision quality - makes good decisions based upon a mixture of analysis, wisdom, experience, and judgment
- Drive for results - Critical thinking: Critical thinking is the ability to analyze a situation and make a decision based on the information you have. As an automation engineer, you may be required to make decisions about how to best implement automation processes. Having strong critical thinking skills can help you make the best decision for your company.
- Critical thinking: Critical thinking is the ability to analyze a situation and make a decision based on the information you have. As an automation engineer, you may be required to make decisions about how to best implement automation processes. Having strong critical thinking skills can help you make the best decision for your company
- Communication: Communication is an essential skill for automation engineers, as they often work with other engineers and other professionals in other departments. Effective communication can help you collaborate with others, share ideas and explain technical concepts. can be counted on to exceed goals successfully
- Interpersonal savvy - relates well to all kinds of people; builds appropriate rapport.