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Mining Data Analytics Jobs in Colorado (NOW HIRING)

Parts Data Analyst

Aurora, CO · On-site

$74K - $92K/yr

The Parts Data Analysis is responsible for the full lifecycle analysis of data, including mining, generating, and visualizing data across the Parts organization. This role will need to transform data ...

... 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 ...

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) ...

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Quality, Data Science, Machine Learning (ML), Platform Development, Python (Programming Language ...

... 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 ...

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 ...

Engineer III - Mining

Craig, CO · On-site

$130K - $155K/yr

Frequent data entry for extended periods. * Occasional lifting of materials weighing up to 30 ... Strong planning, analytical, and organizational skills. What We Offer * This position is expected ...

Engineer III - Mining

Craig, CO · On-site

$130K - $155K/yr

Frequent data entry for extended periods. * Occasional lifting of materials weighing up to 30 ... Strong planning, analytical, and organizational skills. What We Offer * This position is expected ...

Transform Mining Operations as our Next Americas Sales Manager! Are you ready to revolutionize the ... With relentless innovation in precise positioning, modeling and data analytics, Trimble enables ...

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Mining Data Analytics information

Is 40 too late for data science?

Mining Data Analytics is a field that values skills and experience over age; many professionals transition into data science later in their careers. Learning programming languages like Python or R and gaining relevant certifications can help regardless of age. Age should not be a barrier to entering data science if you develop the necessary skills and stay current with industry tools.

What is the highest paid job in mining?

The highest paid roles in mining typically include mine managers, senior engineers, and geologists, with salaries often exceeding $150,000 annually. These positions require extensive experience, technical expertise, and often involve overseeing large operations or specialized skills such as data analysis and safety 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.

Will data mining be replaced by AI?

Data mining in mining data analytics involves extracting useful patterns from large datasets, and AI technologies like machine learning are increasingly used to automate and enhance this process. While AI can perform many tasks traditionally done by data miners, skilled analysts are still needed to interpret results, develop models, and ensure data quality, making complete replacement unlikely in the near term.

What does a data mining analyst do?

A data mining analyst examines large datasets to identify patterns, trends, and relationships that can inform business decisions. They use statistical tools and software such as SQL, Python, or R, and often work in environments requiring strong analytical and problem-solving skills to extract actionable insights.
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:
Infographic showing various Mining Data Analytics job openings in Colorado as of June 2026, with employment types broken down into 54% Full Time, and 46% Part Time. Highlights an 59% In-person, and 41% Remote job distribution.
Parts Data Analyst

$74K - $92K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Wagner Equipment Co. rating

7.9

Company rating: 7.9 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

62nd of 144 rated vehicle equipment hire


Job description

Wagner Equipment Co. offers challenging career opportunities, extensive training and employee development along with an opportunity to grow your career and thrive under Wagner’s reputation for excellence. We offer excellent benefits and supply you with the tools you need to maximize your potential and grow within Wagner.

Benefits include:

  • Paid Time Off (PTO) Plan - Up to 96 hours of PTO in your first year + 8 company paid holidays
  • Medical, dental, and vision insurance Life and AD&D InsuranceLife and AD&D Insurance
  • Retirement Plans - Life and AD&D InsuranceRetirement Plans - 401K and Roth 401K, eligible employees can receive a company contribution up to 7%
  • Tuition Reimbursement 
  • Employee Assistance Program (EAP)
  • CEFCU - Employees have access to services include payroll deductions savings, accounts, loans, VISA card, and more.
  • Additional Benefits include: Supplemental life Insurance, Critical Illness + Accidental Insurance, ID WatchDog and discounted employee phone plans.

The Parts Data Analysis is responsible for the full lifecycle analysis of data, including mining, generating, and visualizing data across the Parts organization. This role will need to transform data into readable, goal-oriented reports that turn data into information and insights that drive decisions in the department. The Parts Data Analyst is expected to work in a manner that reflects the company’s vision of working as “One Professional Team”.

Pay Rate: $74,000.00-$92,000.00 annually.
Pay is based upon education and experience. 

Essential Functions:

Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

  • Interpret data and analyze results using statistical techniques
  • Drive automation of processes and visual representation of data sets
  • Identify, analyze, and interpret trends or patterns in data sets
  • Develop and provide ongoing reports of internal and external KPIs such as, on time fill, profitability, unassigned and assigned core performance, safety performance, emergency order percentages, and pending customer orders requiring action
  • Develop customer facing KPIs such as, open work orders, outstanding cores, pending parts orders and current status, and open account receivables
  • Develop and implement data collection systems and processes, data analytics, and other strategies to optimize data
  • Acquire and mine data from primary and secondary sources
  • Define new processes for continuous improvement
  • Assist with training at Branch locations to improve overall processes
  • Other duties as assigned by manager

Required Education and Experience:

  • Bachelors of Science in Mathematics, Economics, Computer Science, or Statistics
  • 2+ years' experience mining data as a data analyst
  • 2+ years' experience working with SQL, Targit, Excel or other database management systems
  • 2+ years' experience writing and developing queries, reports, and presentations

Physical Demands & Competencies:

  • Standing, walking, talking, sitting, use of hands & hearing
  • Data Entry, telephone, reading/writing, reasoning, organizational, communication & math skills
  • Safety & Product Knowledge
  • Sedentary work that primarily involves sitting/standing but may require occasionally lifting and/or moving up to 25 pounds
  • Reasoning Skills
  • Organizational Skills
  • Communication Skills
  • Math Skills
  • Attention to Detail
  • Interpersonal Skills
  • Proficiency in Microsoft Office Suite

Travel Requirements:

  • 0- 25%

Work Environment:

  • Noise: Quiet
  • Indoors

Other Duties:

Job Offers are contingent upon all required pre-employment screenings which may include but are not limited to background checks, drug/alcohol testing, fit for duty testing, and any other job-related tests/screenings.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Requirements are representative of minimum levels of knowledge, skills and/or abilities. To perform this job successfully, the employee must possess the abilities or aptitudes to perform each duty proficiently.  

Wagner Equipment Co. is an EEO/AA/Veterans/Disabled employer


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