Job Summary The incumbent is responsible for collaborating with various members of the Mechanical team to bring operational data to life. By analyzing alert thresholds, wayside detector readings, failure trends, and other metrics, the role improves the reliability of locomotives and rolling stock. The position contributes to the Mechanical Reliability team, which includes Car and Locomotive, Locomotive Subject Matter Expert (SME), Fleet leaders, Original Equipment Manufacturers (OEM), Wayside Detector and Machine Vision teams, and Senior Mechanical Leaders.

Main Responsibilities

Data Management

- Design, develop, and implement Extract, Transform, Load (ETL) processes to gather data from various sources, including databases, Application Programming Interfaces (APIs), and flat files
- Load transformed data into data warehouses, data lakes, or other storage solutions to ensure accessibility and usability
- Apply data cleaning, transformation, and enrichment techniques to prepare data for analysis and reporting
- Drive the collection of recent data and the refinement of existing data resources
- Validate existing data sources by performing quality and audit checks
- Collaborate with internal and external teams to identify improvement opportunities

Analysis and Reporting Identify trends, performance, safety, and productivity opportunities by applying data science techniques

Develop, maintain, and analyze performance metrics and reports that support data-driven decision-making processes

Set alert thresholds by defect and fleet

Analyze and interpret the results from analytical tools and explain the meaning to the appropriate management levels

Develop best practices for instrumentation and experimentation





Communicate and present findings to teams and management at all levels

Working Conditions The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. The incumbent must be available to work night shifts and weekends when necessary. The role involves managing priorities and delivering work within established timelines, with support from the team to ensure sustainable and effective workload management. The role requires minimal travel (10%) within Canada and the United States (U.S.).Requirements

Experience

Data AnalyticsMinimum 3 years of experience working with data analytics tools, including Structured Query Language (SQL), Tableau, Power BI, Excel and Systems, Applications, and Products (SAP)Machine Learning and Computer Vision Experience*Experience with Databricks, Azure Data Factory, Informatica Claire, Palantir Foundry, and ETL

- Candidates with an equivalent combination of education, training, and experience will be considered

Any requirement marked with (*) will be considered an asset (not mandatory).

Education/Certification/Designation

Bachelor's Degree in Statistics, Mathematics, Data Science, Engineering, or equivalent experienceCandidates with equivalent practical experience, education, or training will be considered

Competencies

- We Care About Each Other
- We Strive for Excellence
- We Succeed Together
- We Lead Responsibly
- Abstract reasoning skills
- AI Literacy and data orientation
- Think broadly
- Depth of analysis
- Business acumen

Technical Skills/Knowledge Knowledge of one or more scripting languages including Python, Pandas, or equivalent to perform required research and analysis

📌 Senior Specialist Data Analytics (Vancouver)
🏢 CN
📍 Vancouver