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Data Mining Jobs in Colorado (NOW HIRING)

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) ...

... data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if ...

... data mining, artificial intelligence). College-level requirement, or upper-level math courses ... designated as elementary or basic do not count. Note: A broader range of degrees will be considered ...

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

... data mining, artificial intelligence). College-level requirement, or upper-level math courses ... designated as elementary or basic do not count. Note: A broader range of degrees will be considered ...

Engineer I - Mining

Craig, CO · On-site

$85K - $98K/yr

... post-mining topography. * Support preparation of project progress reports, including production ... Frequent data entry for extended periods. * Occasional lifting of materials weighing up to 30 ...

Underground Mining Engineer

Denver, CO · On-site

$85K - $123K/yr

Proficiency in compiling and presenting data (PowerBI, Excel, PowerPoint) * Strong communication ... Degree in Mining Engineering or equivalent from a recognized post-secondary institution

Mining positions may be required to work various shifts, rotating schedules, weekends, and holidays ... Produce mine designs, schedules and costing using available geotechnical data, to be used as the ...

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Data Mining information

See Colorado salary details

$53.6K

$73.6K

$93.6K

How much do data mining jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data mining in Colorado is $73,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $89,400.00 per year, depending on experience, location, and employer.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information that can support decision-making. They use tools like SQL, Python, or specialized software to extract and interpret data, often working in environments that require strong analytical and technical skills. Data mining is essential in fields like marketing, finance, and healthcare for uncovering insights and improving strategies.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for growth and specialization. Success in this field typically requires continuous learning and relevant certifications.

What are some common challenges faced by professionals in Data Mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a Data Mining job?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science.

What are the key skills and qualifications needed to thrive in the Data Mining position, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Mining jobs in Colorado? The most popular types of Data Mining jobs in Colorado are:
What cities in Colorado are hiring for Data Mining jobs? Cities in Colorado with the most Data Mining job openings:
Infographic showing various Data Mining job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $73,606 per year, or $35.4 per hour.
Data Analyst

Full-time

Posted 10 days ago


Job description

Company Description

Since 2002, Quantix HealthTech has successfully delivered IT resources and solutions to companies while building a solid reputation for integrity and consistent quality. Quantix HealthTech serves the specific needs of the healthcare industry and is recognized as one of Denver's fastest growing Healthcare IT services organizations. Quantix HealthTech was recently featured in US News and World Report and Forbes.  

Job Description

Job Title: Data Analyst
Location:  Centennial, CO
Type:  Contract
Length:  9 months
Job Description:  Our client in the Centennial, Colorado area is looking for 2 Data Analysts to join their team on a contract basis.  These analysts will join a team and be responsible for data analysis and interpretation for reporting purposes.  A strong ability to work with unstructured data to develop patterns and define reporting capabilities is needed.  A senior resource is needed to work with business users, identify requirements, and manage issues as they arise.  Knowledge of decision-based or business analytic software is needed.  
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) Data Analysis / Modeling.
2) Data mining.
3) Segmentation techniques, statistical analysis.
4) Reporting.
5) Very Large Data Set manipulation.

Additional Information

All your information will be kept confidential according to EEO guidelines. If your interested, please send me your resume at henriquez@quantixinc. com or call me at 303-557-4014