Analyst, Advance Analytics - Brampton, Canada - Canadian National Railway
Description
At CN, everyday brings new and exciting challenges.You can expect an interesting environment where you're part of making sure our business is running optimally and safely―helping keep the economy on track.
We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference.
You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join usJob Summary
The Analyst, Advance Analytics role is responsible for leveraging statistical analysis, Artificial Intelligence (AI) machine learning, and optimization techniques to support the development of the terminal operating model of the future.
The incumbent generates and utilizes the resulting data to optimize the operation and support the implementation of the Smart Terminal Program, as well as continuous improvement projects.
The position contributes to CN's Intermodal by mining critical data, using advanced Internet of Things (IoT), state-of-the-art sensors and control electronics, big data infrastructures, advanced analytics, deep learning, and other leading-edge technologies to improve virtually every aspect of the business.
Main Responsibilities
Continuous Improvement and Process Optimization Stakeholder Engagement and Alignment
- Drive continuous improvement by identifying opportunities and leading projects
- Use data science techniques to find data patterns, anomalies, and optimization opportunities
- Analyze complex data sets and operational parameters to support leadership in decisionmaking while implementing new solutions and processes
- Utilize the data to analyze and collaborate with Senior Terminal Managers, Terminal Managers, and Supervisors, as well as Network Planning to recommend optimization improvements in the Operation, contribute to define the operating models of the future and the optimization of the train loading plan, and participate in any resulting change management
Advance Analytics
- Manage and analyze large sums of data across various CN platforms to improve quality, reduce losses, and optimize planning processes
- Collaborate with key stakeholders in the organization, vendors, and consultants to design and implement advanced analytical tools, consolidate data, and perform testing
- Act as an expert in sophisticated operational systems and terminal technology, advanced analytics, and benchmark CN, internally and externally
- Help build customer and operation score cards and dashboards that provide qualitative and historical view of the Company's performance
Working Conditions
The role has standard working conditions in an office environment with a regular workweek. The incumbent must be available to work weekends when necessary.
Due to the nature of the role, the position must be able to meet tight deadlines, handle pressure, and stress.
The role requires mínimal travel (5%).Requirements:
Experience
Research and Data Modelling
- Between 2 to 5 years of experience in research and advanced data modeling
- Between 2 to 5 years of experience in a largescale operation and logistics environment
- Experience with optimization software and mathematical programming language such as CPLEX, Lingo or others
- Experience cleaning, managing, and visualizing data, structured and unstructured
- Experience with warehouse management, transportation, and planning systems
- Experience with technology and operation automation projects
- Experience in applied research in areas relevant to AI
- Experience with Machine Learning algorithms
- Any experience for these above would be considered as an asset
Education/Certification/Designation
- Bachelor's Degree in Engineering, Applied Mathematics, Logistics, Data Mining, and Supply Chain management
- Bachelor's Degree in Operation Research
- Master's Degree in Engineering, Operations Research, Statistics, Data Mining, Supply Chain Management or equivalent
- Any designation for these above would be considered as an asset
Competencies
- Applies critical thinking
- Sets direction and inspires others
- Collaborates with others and shares information
- Solves problems to create value
- Demonstrates agility and drives change
- Knows the business and stays current on industry needs
- Fluently bilingual both written and verbal (English, French)
- Any skills/attributes for these above would be considered as an asset
Technical Skills/Knowledge
- Project and time management
- Knowledge of statistical modelling, operations research methodologies, Linear Programming (LP), data mining concepts or others
- Advanced knowledge of Microsoft Excel, Visual Basic for Applications (VBA), and macros
- Advanced knowledge of Structured Query Language (SQL) and NoSQL databases
- Knowledge of advanced data analytics tools and languages such as Alteryx, R, Python or other
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