Role Overview
The successful candidate will work with the Mechanical sector teams to transform operational data into strategic information, contributing to improving locomotive and rolling stock reliability.
What You Will Do
Design, develop, and maintain data extraction, transformation, and loading (ETL) processes, analyze data to identify trends, risks, reliability issues, and opportunities for performance and productivity improvement, and present results and recommendations to teams and management.
Why It Might Be a Fit
The position requires analytical and abstract reasoning skills, ability to understand and use AI and data, global thinking, depth of analysis, business acumen, knowledge and technical skills, and ability to interpret complex data and communicate results effectively.
Requirements
- At least 3 years of experience with data analysis tools such as SQL, Tableau, Power BI, Excel, and SAP
- Experience in machine learning and artificial intelligence
- Experience with Databricks, Azure Data Factory, Informatica Claire, Palantir Foundry, and ETL processes
- Bachelor’s degree in statistics, mathematics, data science, or engineering
Benefits
- Annual bonus
- Employee stock investment plan (ESIP)
- Pension plan
- Benefits
- Other benefits
To apply for this job please visit careers.cn.ca.
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