Canadian Natural Resources Limited (CNRL) is a leader in Canada’s energy industry, seeking a motivated candidate to join their Horizon U2 – Controls Systems business unit. The role involves developing and maintaining data pipelines and analytical models to support operational monitoring and business decision-making.
Develop and maintain data pipelines, dashboards, and analytical models to support operational monitoring, production optimization, and business decision-making
Analyze operational, maintenance, and process data to identify trends, anomalies, risks, discrepancies, and improvement opportunities while ensuring data quality and validating assumptions
Collaborate with engineering, operations, maintenance, and business teams to understand problems, define data requirements, and deliver practical analytics solutions
Support development of predictive and descriptive models for equipment performance, process efficiency, reliability, forecasting and planning use cases
Translate complex data analysis and model outputs into clear, actionable insights for both technical and non-technical stakeholders, supporting reporting and continuous improvement initiatives
Assist with data governance, documentation, regulatory compliance, and participate in field or site engagements to better understand assets, operations, and data sources
Qualification
Required
Degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related quantitative discipline
0–3 years of relevant experience in data analysis, analytics, or data science
Experience with Python and SQL for data analysis, cleaning, and modeling
Familiarity with data visualization and reporting tools such as Power BI, Tableau, or similar
Understanding of basic statistical methods, exploratory data analysis, and machine learning concepts
Strong problem-solving skills and ability to communicate findings clearly
Proficient with Microsoft Office
Preferred
Experience or interest in oil and gas operations, production, process engineering, or industrial data environments is an asset
Exposure to cloud, version control, or data engineering tools is an asset
Class 5 driver's license or equivalent may be considered an asset depending on site requirements
