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Entry Level Data Mining Jobs in Raleigh, NC (NOW HIRING)

National Recruiter 1 - Entry Level

Raleigh, NC · On-site

$35K - $46K/yr

The National Recruiter will employ all best-in-class candidate generation techniques to include cold calling, data mining, internal database search and management, external job board search ...

New

Tech -QC

Knightdale, NC · On-site

$17 - $21.50/hr

... in data base. • Troubleshoot problems and review basic product specifications. • Visually ... Experience • This is typically an entry level position. 0 to 2 years laboratory testing ...

Entry Level Data Mining information

See Raleigh, NC salary details

$49.6K

$68K

$86.5K

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

As of Jul 13, 2026, the average yearly pay for entry level data mining in Raleigh, NC is $68,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $82,600.00 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.
What are the most commonly searched types of Data Mining jobs in Raleigh, NC? The most popular types of Data Mining jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Entry Level Data Mining jobs? Cities near Raleigh, NC with the most Entry Level Data Mining job openings:
Infographic showing various Entry Level Data Mining job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,045 per year, or $32.7 per hour.
National Recruiter 1 - Entry Level

National Recruiter 1 - Entry Level

Planet Pharma

Raleigh, NC • On-site

$35K - $46K/yr

Other

Posted 2 days ago

New


Job description

***This is a Salaried role with the opportunity to earn commission and drive promotions based on individual production***



A National Recruiter role with Planet Pharma is an excellent opportunity to apply a competitive mindset in an entrepreneurial environment where you can get the most out of your hard work. Planet Pharma is looking for individuals who are motivated and excited to embrace a tremendous opportunity, applying sales and strategic problem solving skills to a class leading delivery team. If you're ready for the challenge, and an opportunity to shape your career, please apply below!



Job Description

The National Recruiter position will be responsible for assisting in the sourcing and marketing of positions for ongoing professional and leadership candidate generation. The National Recruiter will employ all best-in-class candidate generation techniques to include cold calling, data mining, internal database search and management, external job board search, association networking, direct mail, social networking, etc. The National Recruiter will be responsible for coordinating the proactive talent pipelining, working toward full cycle recruitment with guidance from Sr. Staff.


Primary Responsibilities:

  • Accountable for the on-going cultivation and evaluation of new candidate sourcing channels and methods.
  • Attend discovery sessions with recruiters and sales/account management.
  • Conduct the sourcing of clinical candidates on a national or regional level by utilizing various methods to include: targeted name generation, networking internally and externally to the organization, mining databases and job boards, developing relationships with associations, social networking, etc.
  • Participate in sourcing strategy throughout the requisition life-cycle.
  • Drive effective partnerships with business leaders and recruiters.
  • Apply defined sourcing process (transactional or pipeline) to ensure most effective use of time and to drive results.
  • Evaluate the profiles of potential candidates by performing preliminary phone screen assessments.
  • Evaluate 'hot button' motivators of passive and active candidates and influence candidate decision making by outlining Client/position level value proposition.
  • Accountable to track sourcing activities and results in the CRM.
  • Support the evaluation of source channel effectiveness in concert with the Director of Recruiting.