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Mining Data Analytics Jobs in Colorado (NOW HIRING)

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

... analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and ...

US Bank

Data & Analytics Product Lead

Denver, CO · Hybrid

At least 7 years' experience with BI applications; decision support systems, query and reporting, online analytical processing, statistical analysis, forecasting, and data mining. * At least 5 years ...

Quantix

Data Analyst

Centennial, CO

Required Skills: 1) Data Analysis / Modeling. 2) Data mining. 3) Segmentation techniques, statistical analysis. 4) Reporting. 5) Very Large Data Set manipulation. Qualifications Required Skills: 1) ...

GRVTY

Data Scientist 3

Colorado Springs, CO

$155K - $185K/yr

... analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and ...

GRVTY

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

... analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and ...

Stantec

Senior Surface Mining Engineer

Denver, CO · On-site

$107K - $147K/yr

Background in data analytics is a plus. * Ability to sign off as competent person for NI43-101 ... S. in Mining, Civil, or Geotechnical Engineering * Minimum of 10 to 15+ years of experience with ...

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Mining Data Analytics information

What does a mining data analytics do?

A mining data analyst collects, processes, and interprets data related to mining operations to improve efficiency, safety, and productivity. They use tools like SQL, Python, or specialized mining software to analyze large datasets and support decision-making. Strong analytical skills and knowledge of mining processes are essential for this role.

What is data analytics in the mining industry?

Data analytics in mining involves collecting and analyzing large datasets from exploration, production, and safety operations to optimize processes, improve efficiency, and reduce costs. Mining data analysts use tools like statistical software and machine learning to interpret sensor data, geological information, and operational metrics, supporting decision-making and resource management.

What is the difference between Mining Data Analytics vs Data Analyst?

AspectMining Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Mining Engineering, or related fields; certifications in data analytics or mining softwareBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentMining sites, data centers, or corporate offices; focus on mineral extraction dataOffice settings, corporate or consulting firms; focus on business data
Employer & Industry UsageMining companies, resource extraction industriesVarious industries including finance, healthcare, retail

Mining Data Analytics and Data Analysts both analyze data, but Mining Data Analytics specializes in mineral extraction data within the mining industry, often requiring industry-specific knowledge and certifications. Data Analysts have a broader scope across multiple industries, focusing on business insights. While both roles involve data interpretation, their environments and applications differ significantly.

What are popular job titles related to Mining Data Analytics jobs in Colorado? For Mining Data Analytics jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Mining Data Analytics jobs in Colorado look for? The top searched job categories for Mining Data Analytics jobs in Colorado are:
What cities in Colorado are hiring for Mining Data Analytics jobs? Cities in Colorado with the most Mining Data Analytics job openings:
Mining Data Analytics jobs near you
Infographic showing various Mining Data Analytics job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Specialist - Mining Operations

McKinsey & Company

Denver, CO • On-site

Full-time

Re-posted 11 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will leverage your industry knowledge and expertise within underground mining operations to solve some of the most pressing and complex issues at clients.
You will be staffed on client engagements and be responsible for identifying issues, forming hypotheses, designing and conducting analysis, synthesizing conclusions into recommendations and helping to implement change with our clients. Throughout an engagement, you will be involved in discussions and presentations with client team members and leadership. You will lead or contribute to knowledge development initiatives in order to expand our mining capabilities. You will develop and maintain a strong internal reputation and network with client teams and will be "in the flow" of new external thinking to renew personal knowledge and expertise over time to remain at leading edge in the field.
You will work as a team member on subjects ranging from strategy and operations, to conducting due diligence. Examples of the type of work include deploying AI and digital analytics to improve processes within the plant and working on operations topics to redesign processes of the plant.
Your home base will be our Denver office as part of our Mining team within our global Metals and Mining practice.
Our Metals and Mining practice focuses on accelerating sustainable and inclusive growth by leveraging artificial intelligence and advanced analytics to shape client's strategy, boost productivity and drive innovation.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Undergraduate degree with excellent academic record required, ideally in mining engineering or a closely related field; advanced degree in similar field a plus
  • 4+ years of relevant experience in the mining industry, within underground mining operations/management
  • Experience in data analysis and interest in developing new approaches to mining data analysis and application to operational improvement
  • Experience working with complex datasets, including time series data, company financial statements, and/or operational market benchmarks
  • Excellent organization capabilities, including the ability to initiate tasks independently and see them through to completion
  • Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
  • Proficient in rational decision making based on data, facts, and logical reasoning.
  • Ability to create work product-focused materials / outputs, which may include PowerPoint decks, Excel models, articles, or other written deliverables
  • Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
  • Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times
  • Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., factories, hospitals, mines)

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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