Mining Data Analyst
About The Position
Be part of something incredible. Metals are necessary for our world, but mining historically faced issues with waste, sustainability, and inefficiencies. MineSense is changing that. Our solutions reduce mining waste and environmental impacts while increasing profits and efficiencies. Backed by the best in venture capital and government funds, and recognized by tech industry and sustainability programs, MineSense is doing what many said could not be done: improving mining for people and planet. 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!
Requirements
- 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.
Nice To Haves
- 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.
- Additional oral and written proficiency in Spanish is strongly preferred.
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.
Benefits
- A competitive salary and bonus.
- Matching RRSP or 401K program (for Canadian and US employees)
- A comprehensive benefit program including an employee assistance program.
- Learning and career development programs and resources (live sessions and on-demand)
- Transit Subsidy (for roles based in Vancouver, BC)
- Hybrid work (for roles that do not require to be onsite)
- 3 weeks' vacation or more depending on the position
- Global and local company organized social events and celebrations to connect with your team
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
