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Entry Level Mining Jobs in Oklahoma (NOW HIRING)

Central Plains Cement

Process Engineer

Tulsa, OK

Entry Level Process Engineer $75K - $85K (Depending on Experience) Nature and Scope The Process ... of mining and heavy industrial settings. Working conditions include: * Exposure to moving ...

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All JobsMining JobsEntry Level Mining JobsEntry Level Mining Jobs in Oklahoma

Entry Level Mining information

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$15

$24

$31

How much do entry level mining jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for entry level mining in Oklahoma is $24.78, according to ZipRecruiter salary data. Most workers in this role earn between $21.54 and $27.50 per hour, depending on experience, location, and employer.

How to get into entry level mining with no experience?

Entry level mining positions often require a high school diploma or equivalent and may not require prior experience. Candidates should consider obtaining relevant certifications such as OSHA safety training and be prepared to start in entry-level roles like laborer or helper, gaining on-the-job training. Physical fitness and a willingness to work in challenging environments are also important for entry into the field.

What is an entry level mining job?

Entry level mining jobs are positions within the mining industry that require little to no prior experience and provide on-the-job training. These roles typically involve basic tasks such as assisting with site preparation, operating machinery under supervision, performing manual labor, or supporting more experienced workers in daily mining operations. Entry level mining jobs are a gateway for individuals to gain practical experience, learn safety protocols, and build a foundation for advancing to more specialized or higher-paying roles within the industry.

Is entry level mining a good career with no experience?

Entry level mining jobs typically do not require prior experience and often provide on-the-job training. These roles involve working in challenging environments and may require safety certifications, but they can offer opportunities for career advancement in the mining industry.

What are some common challenges faced by entry-level mining workers and how can they be managed?

Entry-level mining workers often face challenges such as adapting to physically demanding tasks, working in remote locations, and adhering to strict safety protocols. It can take time to adjust to shift work, particularly night shifts or extended rosters. To manage these challenges, it's important to maintain open communication with supervisors, take advantage of on-the-job training, and prioritize personal health and safety. Many companies offer support programs and buddy systems to help new employees integrate and succeed in the team environment.

What are the key skills and qualifications needed to thrive in an entry level mining role, and why are they important?

To thrive in an entry level mining position, you need physical fitness, basic math skills, safety awareness, and often a high school diploma or equivalent. Familiarity with mining equipment, personal protective equipment (PPE), and safety certifications such as MSHA or WHMIS are typically required. Strong teamwork, communication, and a willingness to learn help new hires excel on-site. These skills and qualifications are crucial for maintaining safety, efficiency, and effective collaboration in demanding mining environments.

What is the difference between Entry Level Mining vs Entry Level Mining Technician?

AspectEntry Level MiningEntry Level Mining Technician
Required CredentialsHigh school diploma or equivalent; some roles may require certificationsHigh school diploma; technical certifications or training preferred
Work EnvironmentMining sites, underground or surface operationsMining sites, often working alongside miners and engineers
Employer & Industry UsageMining companies, resource extraction industryMining companies, equipment maintenance, and safety roles
Common Search & Comparison IntentUnderstanding entry-level roles in miningComparing entry-level roles in mining operations and technical support

Entry Level Mining generally refers to basic roles in mining operations, often involving manual labor or general site work. Entry Level Mining Technician focuses on technical support, equipment maintenance, and safety procedures. Both roles serve as starting points in the mining industry but differ in technical requirements and responsibilities.

What are the most commonly searched types of Mining jobs in Oklahoma? The most popular types of Mining jobs in Oklahoma are:
What are popular job titles related to Entry Level Mining jobs in Oklahoma? For Entry Level Mining jobs in Oklahoma, the most frequently searched job titles are:
What cities in Oklahoma are hiring for Entry Level Mining jobs? Cities in Oklahoma with the most Entry Level Mining job openings:
Entry Level Mining jobs near you
Infographic showing various Entry Level Mining job openings in Oklahoma as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $51,540 per year, or $24.8 per hour.

Data Analyst III/II/I

Americanfidelity

Oklahoma City, OK

Full-time

Re-posted 23 days ago

Job description

* Plan, implement and execute data mining and predictive modeling related projects to which they are assigned to deliver intended business value propositions, on time and within scope according to agreed upon priorities. The Data Analyst is accountable for working collaboratively with Data Navigators and for the successful delivery of all projects under their supervision.

* Assist the Research & Development team, Executive Management, and AFA through the production and maintenance of data and metrics regarding demographics, market trends, behavioral economics, and socioeconomic shifts.

* Drive business value through actionable insight and opportunity identification as facilitated through comprehensive exploratory, interactive, adaptive, and iterative data mining, machine learning, data science, clustering, artificial intelligence (AI), and predictive modeling related analysis which have generally high complexity and/or business risk.

Skills of Ideal Candidate:

1. Advanced knowledge of one or more differing statistical programming languages such as SAS, R or Stata.

2. Ability to develop structure and/or program databases specifically within an MS SQL environment, skilled in the utilization of Structured Query Language (SQL) for interacting with data sets. Understanding of data structures and ability to become proficient in mining data structures and lineage in support of data foot printing and inventory techniques.

3. Skilled in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data Robot

4. Skilled in MS Office Suite including MS Access, Excel, PowerPoint, Word and MS SharePoint.

5. Familiarity with the following disciplines

Natural Language Processing: Interaction between computers and humans

Machine Learning: using computers to improve as well as develop algorithms

Conceptual modeling: to be able to share and articulate conceptual approaches to solving business questions/problems

Statistical analysis and Predictive modeling

Hypothesis testing: design hypothesis, document control and test with appropriate modeling and experimentation

6. Ability to query databases and datasets and perform statistical analysis on enterprise-class database systems.

7. Exceptional presentation skills.

8. Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing.

9. Strong negotiation skills.

10.Strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.

11. Exceptional analytical thinking and problem solving skills.

12. Exceptional understanding of business and business strategy.

13.Strongplanning skills.

14. Exceptional organizational skill and ability to work autonomously.

15. Experience using data visualization tools such as QlikSense or Tableau

16. Innovative curiosity

17.Strongknowledge of Data Science

18.Ability to deal with ambiguity

Education Requirements:

Data Analyst III: Actuarial Designationscan substitute for PhD.AFA specific data experience will be considered in lieu of PhD oncase by casebasis

Data Analyst I/II: High school diploma or equivalent

#AFC

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