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Expert, Data Analysis
2 weeks ago
Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion.
From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks.
You will be able to develop your skills and career 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 Expert, Data Analysis is responsible for conducting detailed analysis and providing access to advanced analytics solutions to solve business problems, while leveraging statistical and optimization techniques.
The role handles and governs large quantities of data from multiple data sources, including the ability to merge it and ensure its consistency.
Moreover, the role encompasses the development and creation of visualization and analysis tools to be used by internal stakeholders.It involves seeking out and understanding new data sources, merging it with other sources, and modelling in order to provide a consumable format for analysis and presentation at an executive level.
The incumbent contributes to enabling automation and supports better and faster data-driven decisions making in virtually every aspect of its business.
Main ResponsibilitiesData Management & Analytics
- Find and interpret rich data sources, merge and ensure consistency of datasets
- Handle large amounts of data despite hardware, software, and bandwidth constraints
- Query large datasets and link related factors to reveal performance, safety or costsaving opportunities
- Analyze data, spot trends, and bring change to the organization
- Develop initiatives to assist Financial Planning team in leveraging data to draw causal relationships between financial information and operating KPIs in the respective functions (Transportation, Engineering, Mechanical, etc.)
- Assist in understanding sensitivities, impacts of change, and draw insights on action items that can positively impact operations while being cognizant of ripple effects on other areas of the business.
- Use data science techniques to find data patterns, anomalies, and optimization opportunities
- Interpret, translate, and communicate analytical findings to business stakeholders
- Tackle and solve complex analytical problems using quantitative approaches
- Create visualizations to aid in understanding data and build mathematical models
- Provide analytical support by creating and sharing regular and ad hoc reports as required in a format that can be easily consumed and interpreted by internal customers
- Stay abreast of market best practices
- Autonomously identify the best approach, process, and tools for the function
- Educate internal stakeholders on data visualization
The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. The role is eligible to participate in CN's flexible work policy.
Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.
Requirements:
Experience
Relational Databases and Modeling
- Minimum 10 years overall work experience
- Minimum 57 years experience in a technical expert role, with relational databases and modeling techniques and coding (e.g., Structured Query Language (SQL) Server)
- Experience developing dashboards and interactive analytical tools and visualizations
- Experience handling various types of data (unstructured, semistructured and structured)
- Experience handling projects, (e
i:
scope and timeline), delivering results with an Agile approach
Education/Certification/Designation
- Bachelor's Degree in Business Administration, Computer Sciences, Software Engineering, Statistics or equivalent degree and experience
- Demonstrates agility and drives change
- Knows the business and stays current on industry needs
- Communicates with impact
- Collaborates with others and shares information
- Demonstrates active listening
- Solves problems to create value
- Expertlevel skills and usage of Microsoft Office (Excel and Access), Tableau and Power BI
- Expansive knowledge of financial metrics, data, and business intelligence strategies
- Knowledge polyglot databases (SQL, NoSQL, Graph, Search, Time-Series)
- Knowledge of business intelligence (OLAP, cubes, Power BI, Tableau)
- Knowledge of programming languages (SQL, Python, R, Scala)
About CN
CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished go
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