We are looking to add a Mining Data Analyst to our GeoScience team. The role will report to the Manager, GeoScience and be based out of the Vancouver office. The ideal candidate will have a strong interest in detailed data analysis and statistics within the mining industry. You will work with clients globally, to incorporate MineSense solutions into their ore control processes and show them the value of using our systems. If you enjoy working with data, collaborating with multidisciplinary groups, and have a mining, geology, or geophysics background, we want to hear from you!
Job Responsibilities:- Helping new and existing clients leverage MineSense technology in their grade control engineering processes, which includes developing client facing reports and presentations.
- Collaborating with internal teams to develop prediction models by correlating mine grade measurements or estimates with our sensor results to identify patterns, trends or other data features that relate to grade, texture, mineralogy, or lithology.
- Working with the Field Service and Product Development team to further enhance our products and services through system data analysis and data quality assurance/control.
- Determining and tracking data model accuracy and precision through comparison with sampled assay grades or grade estimates.
- Reporting and presenting data results/trends to internal teams, as well as external clients.
- Working closely with the Data team to create queries, scripts, and reports while ensuring data is well organized and maintained.
- Building and maintaining good working relationships with our clients.
- Promotes a positive company culture through sharing of information and supporting the learning and development of all colleagues.
- Additional duties as occasionally required by your manager.
- Degree in Earth Sciences (Geology, Geophysics), Geostatistics, Data Analytics, Mining Engineering or related field.
- Minimum of 2-4 years of relevant working experience, where experience in mining is preferred.
- Experience performing statistical analysis or data science in a work setting is preferred.
- Mining experience with in - grade control or working with ore control models is preferred.
- Experience with data analysis tools such as python or other statistical packages.
- Experience with SQL is preferred.
- Experience and passion for solving analytical problems involving diverse data sets using quantitative approaches to generate insights.
- Attention to detail and an interest in problem solving.
- Oral and written proficiency in English is required.
- Additional oral and written proficiency in Spanish is strongly preferred.
- The ability to travel and support global offices is required (10-30%).
- Legally able to work in Canada.
Purpose-Driven: At MineSense, we dont just clock inwe live our purpose. Were on a mission to revolutionize the mining industry, and every day, were one step closer to a cleaner, greener world. Values That Resonate: Our core values Innovation, Belonging, Resilience, and Adding Valuearent just buzzwords. Theyre the bedrock of our culture. When you step into our team, youre not just an employee; youre a steward of these values. Impactful Work : Imagine contributing to a cleaner, more sustainable planet. At MineSense, youre shaping the future of cleantech and developing cutting-edge technology that literally hasn't been developed before. Your work matters, and it echoes beyond our walls. People-Centric : Were not just about profits; were about people. Our organization cares deeply about its employees. When you join us, you become part of a community that supports growth, well-being, and success. Ready to make your mark? Join MineSense and be part of something bigger than yourself. MineSense is an equal opportunity employer and is committed to providing accommodation to individuals with disabilities. Should you require accommodation during the recruitment or hiring process, please feel free to indicate your needs while applying. Information received related to accommodation needs of applicants will be addressed confidentially. All applications are welcome, even if you don't meet all the requirements, so please do not hesitate to apply.