Mine Engineer, Data Analytics
About The Position
At Suncor, we produce and provide energy. When you join Suncor, you become part of a company that has built a solid foundation for both business and employee success. We are a place where talented people thrive. As part of our team, you play a vital role in delivering energy we all rely on, and you'll make a meaningful impact in the communities where we live and work. Join us as a Specialist Mine Engineer, Data Analytics, and help transform complex operational data into insights that improve performance, efficiency, and decision-making across oil sands mining. In this role, you’ll uncover trends, apply advanced analytics and predictive modeling, and solve real-world challenges in dynamic, asset-intensive environments. If you’re excited by modern data tools, practical problem-solving, and the opportunity to help shape a more data-driven future for the resource industry, we’d love to hear from you.
Requirements
- Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, or a related technical field, or equivalent practical experience.
- Minimum 5 years of progressive experience in mine data analytics, with experience in mining operations; open-pit mining experience strongly preferred.
- Strong analytical and problem-solving skills, with demonstrated ability to perform diagnostic analytics and translate data into actionable business insights.
- Hands-on experience with databases, data warehouses, and data lakes, including SQL Server, PostgreSQL, Synapse SQL Pool, Snowflake, Parquet, and Delta/Parquet in ADLS Gen2; proficiency in SQL, DAX, Python, Databricks and snowflake.
- Excellent communication, collaboration, and organizational skills, with the ability to manage multiple priorities in a fast-paced environment and present technical findings clearly to non-technical stakeholders.
Nice To Haves
- Don’t have all the qualifications listed? That’s ok! Apply anyway. We acknowledge the value of transferrable skills.
Responsibilities
- Conduct in-depth data analysis to identify trends, patterns, and actionable insights that drive decision-making in mining operations.
- Develop and maintain high-quality data products and dashboards, ensuring stakeholders have access to near real-time data for informed decision-making.
- Leverage data science techniques, including predictive modeling and machine learning, to provide insights that improve operational efficiency and performance.
- Promote a data-driven culture within the organization by advocating for data utilization in day-to-day operational decisions.
- Collaborate with key stakeholders across the organization to identify opportunities for operational improvements through data analysis.
- Stay current with evolving data science techniques, tools, and best practices, integrating them into the workflow to continuously enhance analytical capabilities.
Benefits
- competitive compensation
- regional-based uplifts
- annual bonuses
- long-term financial rewards
- pension programs
- savings plans with company matching
- employee assistance program
- comprehensive company-paid health, dental, and vision benefits for you and your family
- generous paid vacation time
- personal time-off
- Internal mobility
- succession planning
- employee training and development programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
