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Entry Level Data Mining Jobs (NOW HIRING)

SynergisticIT

Entry Level Data Architect (Remote)

$65.25 - $84/hr

... for entry-level software programmers, Java Full stack developers, Python/Java developers, data ... NLP, Text mining, Tableau, PowerBI, TensorFlow. If you get emails from our skill enhancement team ...

SynergisticIT

Entry Level Data Architect (Remote)

$65.25 - $84/hr

... for entry-level software programmers, Java full stack developers, Python/Java developers, data ... NLP, text mining, Tableau, PowerBI, TensorFlow. If you get emails from our skill enhancement team ...

SynergisticIT

Entry Level Data Architect (Remote)

$65.25 - $84/hr

... for entry-level software programmers, Java Full stack developers, Python/Java developers, data ... NLP, Text mining, Tableau, PowerBI, TensorFlow. If you get emails from our skill enhancement team ...

Falconwood, Inc.

M365 Platform Developer

Suffolk, VA · On-site

$105K - $115K/yr

Responsibilities This entry-level data science role supports the development of analytical tools ... The candidate will perform data mining, statistical analysis, and visualization to deliver ...

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

As of Jul 6, 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 job?

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.

How much does an entry-level miner make?

Entry-level data miners typically earn between $40,000 and $60,000 annually, depending on the industry, location, and specific skills such as knowledge of SQL or data analysis tools. Starting salaries may be lower in some regions or companies, but with experience and additional training, earnings can increase.

What does a typical day look like for someone in an Entry Level Data Mining position?

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 the Entry Level Data Mining position, 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.

Is 40 too late for data science?

Entry level data mining roles are accessible at any age, including at 40, especially if you develop relevant skills such as SQL, Python, and data analysis. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training programs.

Will data mining be replaced by AI?

Data mining as a job involves extracting useful patterns from large datasets, and AI tools are increasingly automating parts of this process. However, human expertise is still essential for interpreting results, designing algorithms, and ensuring data quality, so data mining roles are likely to evolve rather than be fully replaced by AI.

How to get started in data mining?

To start a career in data mining, develop skills in programming languages like Python or R, learn database query languages such as SQL, and understand data analysis and machine learning concepts. Gaining experience through online courses, certifications, or internships can also help build practical knowledge in data extraction and analysis tools.
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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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $69,999 per year, or $33.7 per hour.
Data Analyst II - Department Only - 529783

Data Analyst II - Department Only - 529783

University of Alabama

Tuscaloosa, AL • On-site

$56K - $73K/yr

Other

Posted 11 days ago

University Of Alabama rating

7.1

Company rating: 7.1 out of 10

Based on 59 frontline employees who took The Breakroom Quiz

358th of 544 rated colleges and universities

Job description

Job no: 529783
Position type: Regular Full-time (Benefits eligible)
Location: Tuscaloosa
Division/Equivalent: Academic Affairs
School/Unit: OTIDE
Department/Office: 209202 - OTIDE Business Intelligence
Categories: Management/General Business, Other

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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: This is a department only search. You must be a current UA employee working in the OTIDE Business Intelligence Department to be considered. 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.

Advertised: Jun 26 2026 Central Daylight Time
Application close: Jul 03 2026 Central Daylight Time

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