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Entry Level Data Mining Jobs (NOW HIRING)

SC Works Trident

$55 - $75/hr

Data Scientist /data analyst entry level /AI /software programmer(Remote) Occupation: Data ... Apply data mining, data modeling, natural language processing, and machine learning to extract and ...

SC Works Trident

$90 - $130/hr

Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and ...

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How much do entry level data mining jobs pay per year?

As of Sep 5, 2026, the average yearly pay for entry level data mining in the United States is $69,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $85,000.00 per year, depending on experience, location, and employer.

What is an entry level data mining?

An Entry Level Data Mining job involves collecting, cleaning, and analyzing large datasets to identify patterns and trends. Professionals in this role use statistical techniques, programming languages like Python or SQL, and data visualization tools to extract meaningful insights. They often support business decisions by preparing reports, building predictive models, and ensuring data quality. This role is ideal for individuals with a background in data science, computer science, or related fields who want to gain hands-on experience in handling and interpreting data.

What does an entry level data mining do?

A typical day for an Entry Level Data Mining professional often involves cleaning and organizing raw data, running exploratory analyses, and assisting in building models or algorithms under the guidance of senior team members. Collaboration with data analysts, engineers, and business teams is common, as you may be responsible for preparing reports or visualizations that help inform decision-making. You may also spend time learning new data mining techniques or tools to enhance your efficiency and broaden your skill set. The role offers a mix of technical tasks and teamwork, making it a great opportunity for those eager to grow within the field of data science.

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

To thrive as an Entry Level Data Mining professional, a solid understanding of statistics, basic programming (such as Python or R), and data analysis is typically required, often backed by a degree in computer science, mathematics, or a related field. Familiarity with data mining tools like Weka, RapidMiner, or SQL databases is beneficial, and certifications in analytics or data science can enhance your prospects. Strong attention to detail, analytical thinking, and effective communication are important soft skills for collaborating and conveying findings to non-technical stakeholders. These competencies ensure accurate data extraction, meaningful insights, and successful teamwork essential for effective contributions in data-driven environments.

How to get started in entry level data mining?

To start an entry-level data mining role, develop foundational skills in data analysis, statistics, and programming languages like Python or R. Gain experience with data manipulation tools such as SQL and familiarize yourself with data visualization software; obtaining certifications like Microsoft Certified Data Analyst or Coursera courses can also enhance your qualifications.

Is data mining in demand?

Data mining is in high demand as organizations seek to extract insights from large datasets, supporting data-driven decision making. Entry-level data mining roles often require knowledge of tools like SQL, Python, or R, and are found across industries such as finance, healthcare, and technology.
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Entry Level Data Mining jobs near you
Infographic showing various Entry Level Data Mining job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $69,999 per year, or $33.7 per hour.

Data Analyst II - 530454

University of Alabama

Tuscaloosa, AL • On-site

$56K - $73K/yr

Full-time

Posted 8 days ago

University Of Alabama rating

7.1

Company rating: 7.1 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

415th of 630 rated colleges and universities

Job description

Pay Grade/Pay Range: Minimum: $56,600 - Midpoint: $73,600 (Salaried E9)
Department/Organization: 209202 - OTIDE Business Intelligence
Normal Work Schedule: Monday - Friday 8:00am to 5:00pm
Note to Applicants: Position is eligible for remote work subject to University policy .
Job Summary: The Data Analyst II gathers, audits, analyzes, and reports moderate- to high-complexity data under moderate supervision. Ensures data integrity. May build dashboards or reporting systems for end users, perform ad-hoc analyses and reporting to inform decision-making, or design predictive modeling or other data mining capabilities. May provide guidance and training to entry-level Data Analysts.
Additional Department Summary: Defines the data architecture for consistency in reporting across the department and across OTIDE for internal tracking of business operations, and externally for communications with UA partners such as College program directors. Tracks DL students, Early college students, and non-degree seeking students across multiple data sources.
Required Minimum Qualifications: Bachelor's degree and two (2) years of data analysis experience; OR master's degree and some data analysis experience.
Skills and Knowledge: Knowledge of business intelligence functions, analytics, industry standards, and best practices. Ability to understand complex relational data structures. Thorough knowledge of relevant internal databases. Ability to translate data into actionable insights. Excellent quantitative and analytical capabilities. Strong understanding of new and emerging fundraising and quantitative modeling techniques and technologies.
Preferred Qualifications: Bachelor's degree or higher in business intelligence, information sciences, statistics, or mathematics. Experience with Customer Relationship Management (CRM) software. Experience with scripting languages like Python, R and SQL and analytic tools such as Tableau or PowerBI. experience in querying, cleansing, and manipulating large data sets.
Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction reported as a result of the background investigation DOES NOT automatically disqualify a candidate from consideration for this position. A candidate with a prior conviction or negative behavioral red flags will receive an individualized review of the prior conviction or negative behavioral red flags before a hiring decision is made.
Equal Employment Opportunity: The University of Alabama is an Equal Employment/Equal Educational Opportunity Institution. All qualified applicants will receive consideration for employment or volunteer status without regard to any legally protected basis and will not be discriminated against because of their protected status. Applicants and employees of this institution are protected under Federal law from discrimination on several bases. More information is available in the EEOC's Know Your Rights: Workplace discrimination is illegal poster.
The University of Alabama affirms its longstanding commitment to institutional neutrality, free speech, and academic freedom.

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