Senior Specialist Data Analytics

CN; Canada; On-site; CAD 70,000 - 110,000; Full time

Job summary

CN is seeking a data analytics professional to collaborate with the Mechanical team to transform operational data into actionable insights. You will analyze alert thresholds, detector readings, and failure trends to improve locomotive and rolling stock reliability, contributing to the Mechanical Reliability team and coordinating with OEMs, wayside detector, and machine vision groups.

You will design ETL processes, load data into data warehouses or lakes, and apply data cleaning and enrichment.

Qualifications

• Minimum 3 years of experience in data analytics and related tools.
• Experience with SQL, Tableau, Power BI, Excel and SAP is preferred.
• Experience with ML and computer vision is an asset.

Responsibilities

• Design, develop, and implement ETL processes from databases, APIs, and flat files.
• Load transformed data into data warehouses or data lakes for access and use.
• Apply data cleaning and enrichment for analysis and reporting.
• Validate data sources with quality and audit checks; collaborate for improvements.
• Identify trends and opportunities using data science techniques and metrics.
• Develop and maintain performance metrics and reports for decision making.
• Set alert thresholds by defect and fleet; present findings to management.

Skills

Data analytics

SQL

Tableau

Power BI

Excel

SAP

ML & CV

Databricks

Azure Data Factory

Informatica

Palantir Foundry

ETL

Python/Pandas

Education

Bachelor's Degree or equivalent in Statistics/Mathematics/Data Science/Engineering

Tools

Databricks

Azure Data Factory

Informatica

Palantir Foundry

ETL

Job description

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.

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 new 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