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Entry Level Data Mining Jobs (NOW HIRING)

Gain America

Entry Level Business Analyst

Hicksville, NY · On-site

$55K/yr

You will model data in order to create reporting infrastructure/dashboards for business process management and data mining You will be closely working with the business/product teams to enable data ...

ADG555

Entry Level Business Analyst

Glen Rock, NJ · On-site

The Business Analyst will be responsible for the following: - Provide technical and analytical support on issues related to information reporting systems. - Building tools that support data mining ...

ADG555

Entry Level Business Analyst

Glen Rock, NJ · On-site

The Business Analyst will be responsible for the following: - Provide technical and analytical support on issues related to information reporting systems. - Building tools that support data mining ...

Cognizant

Entry-level Healthcare Analyst

Englewood, CO · On-site

$56 - $75/hr

Entry-level Healthcare Analyst Cognizant is helping healthcare leaders make the shift- with ... Interested in data - Data Science, Data Analytics, Databases, large data sets, or data mining.

Thorlabs

Data Analyst I

Newton, NJ · On-site

$72K - $94K/yr

... * Entry level to 1 year experience with data visualization best practices and the ability to ... Experience with machine learning, predictive analytics, or data mining techniques is a plus.

IBM

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Demonstrate familiarity or interest in statistical analysis, machine learning, data mining, GenAI ...

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Entry Level Data Mining information

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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 (Entry Level)

CodersData, LLC

North Patchogue, NY • On-site

Full-time

Re-posted 21 days ago

Job description

Company Description

Codersdata have been the undisputed training and placements providers, gracefully serving the training requirements of individuals and corporate for more than years now. We furnish innovative learning and development solutions sheathing diverse areas and industries customized to meet your needs. Our training services are purveyed in both one-on-one interaction as well as eLearning environments, with the assurance that the training objectives are procured no matter what.

We discern the fact that in our fast paced world, it is of paramount importance to keep up the fastidiousness with development in standards, regulations and technology. Individuals and businesses who are molded with proper training and support in their professional development are more likely to be driven with an advanced knowledge base leading to an increase in overall proficiency of the organization.

Job Description
  • Managing master data, including creation, updates, and deletion.
  • Managing users and user roles.
  • Provide quality assurance of imported data, working with quality assurance analyst if necessary.
  • Commissioning and decommissioning of data sets.
  • Processing confidential data and information according to guidelines.
  • Helping develop reports and analysis.
  • Managing and designing the reporting environment, including data sources, security, and metadata.
  • Supporting the data warehouse in identifying and revising reporting requirements.
  • Supporting initiatives for data integrity and normalization.
  • Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
  • Generating reports from single or multiple systems.
  • Troubleshooting the reporting database environment and reports.
  • Evaluating changes and updates to source production systems.
  • Training end users on new reports and dashboards.
  • Providing technical expertise on data storage structures, data mining, and data cleansing.
Qualifications
  • Work experience as a data analyst or in related field.
  • Ability to work with stakeholders to assess potential risks.
  • Ability to analyze existing tools and databases and provide software solution recommendations.
  • Ability to translate business requirements into non-technical, lay terms.
  • High-level experience in methodologies and processes for managing large scale databases.
  • Demonstrated experience in handling large data sets and relational databases.
  • Understanding of addressing and metadata standards.
  • High-level written and verbal communication skills.
Additional Information

All your information will be kept confidential according to EEO guidelines.

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