Mining Data & Analytics (Engineer, Engineer-in-Training, Data Scientist)

Yellowknife , Northwest Territories, Canada | Exploration | Full-time

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About Burgundy Diamond Mines


Burgundy Diamond Mines is a premier global diamond company that proudly produces and delivers ethically sourced diamonds from mine to market. Tracing diamonds end-to-end from its world-renowned Ekati Diamond Mine in Canada’s Northwest Territories, right through to retail diamond sales, creates unquestionable diamond origin and traceability.

Founded in Perth, Western Australia, Burgundy has established itself in the market through its innovative strategy and unique vertically integrated business model, focused on capturing margins along the full value chain of the diamond market. Burgundy is part of CanadaMark™, a program that assures manufacturers, retailers and customers, that Burgundy Diamonds are sustainably produced and support ethical investment in Canadian Northern Indigenous communities.

Burgundy has an office and a cutting and polishing facility in Perth, Australia, an office in Calgary, Canada and a diamond sales office in Antwerp, Belgium.

Position Overview

The Data and Reporting Mining Engineer role harnesses the power of data to drive innovation, efficiency, and sustainability in mining operations. By leveraging advanced analytics and reporting capabilities, this professional contributes to optimizing processes, mitigating risks, and maximizing the value at Ekati Mine. You will work a Monday to Friday schedule (remote work considered), traveling to the Ekati Mine site as frequently as once per month, Monday to Thursday to gather operational data, validate assumptions, and engage your Ekati colleagues.

Although this role has no direct reports, you will lead cross-functional workstreams, drive consensus on analytics projects, and ensure data insights translate into tangible operational improvements.

Job Duties/Responsibilities

  • Evaluate existing data infrastructure and reporting systems to identify opportunities for enhancement and optimization
  • Automate routine reporting processes to streamline data dissemination and facilitate real-time decision-making
  • Drive initiatives to improve data quality, accessibility, and usability for stakeholders at all levels of the organization
  • Develop and maintain Wenco data pipelines for acquiring, cleaning, and integrating datasets from equipment
  • Implement data governance standards to ensure consistency, accuracy, and security of data
  • Collaborate with stakeholders to understand reporting requirements, identify and validate data, and tailor insights to address specific business needs
  • Collaborate with Mine Technical Services team members, geologists, environmental scientists, and other stakeholders to leverage domain expertise and contextualize data-driven insights
  • Communicate findings and recommendations effectively to technical and non-technical audiences through presentations, reports, and workshops
  • Foster a culture of data-driven decision-making by promoting the value of data analytics across the organization
  • Conduct root cause analysis to identify factors impacting productivity and safety (e.g., equipment downtime, slow cycle time, payload variances)
  • Design and develop comprehensive reports, dashboards, and KPIs to monitor key performance indicators across mining operations
  • Utilize statistical analysis and data visualization to uncover patterns, trends, and anomalies within mining data
  • Perform predictive modeling to forecast operational performance, equipment reliability, and mine equipment utilization
  • Support cost-benefit analysis, financial modeling, and risk assessments related to operational changes
  • Stay abreast of emerging technologies and best practices in data analytics

 

Education/Experience

  • Bachelor's degree or higher in mining engineering, computer science, data science, or a related field
  • Strong proficiency in programming languages such as SQL and DAX for data manipulation and analysis
  • Experience with data visualization tools such as Power BI, MinVu and Excel for creating interactive dashboards and reports
  • Knowledge of statistical analysis, machine learning techniques, and data mining algorithms
  • Familiarity with mining operations, including drilling, blasting, hauling, and processing
  • Excellent problem-solving skills and attention to detail
  • Effective communication and collaboration skills to interact with diverse stakeholders
  • Commitment to continuous learning and professional development in the fields of data analytics and mining engineering

 

What we offer

At Burgundy Diamond Mines, we believe people are our most important asset. This is why we are fully committed to the health, safety and well-being of our employees. We believe in establishing strong lasting and respectful relationships with the people and communities with whom we work.

We are dedicated to developing our workforce and to creating an environment where people can learn, grow and take on new responsibilities. We build capacity within our workforce by offering leadership training, apprenticeship positions and adult education initiatives.

Burgundy Diamond Mines offers a competitive salary, performance bonus and total compensation package, including company paid extended health, dental and vision care, an Employee Family Assistance Program (EFAP), employer matched pension, generous paid vacation and personal days, as well as a Dependent Scholarship Program and employee discounts. On site we provide accommodations and meals, a fully equipped gym and recreation facilities,

Additional Information

The Company provides travel to and from the Ekati mine site out of Calgary, Yellowknife, and other northern fly points.

Preference will be given to qualified applicants from our Impact Benefit Agreement (IBA) Groups. Members should clearly identify their IBA status on the online job application and resume to receive priority consideration.

Visit www.burgundydiamondmines.com to apply and to learn more about our operations.

Closing Date: This position will remain open until a suitable candidate is found.