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Entry Level Data Mining Jobs (NOW HIRING)

GainAm

Entry Level Business Analyst job

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 ...

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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 Jun 15, 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.

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.

Is 30 too late for data science?

Entry level data mining roles are accessible at any age, including at 30, especially if you develop relevant skills such as SQL, Python, and data analysis. Many professionals transition into data science or data mining careers later in life by gaining certifications or completing relevant training programs.

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 with relevant skills in SQL, Python, or R. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training, making age less of a barrier than skill and experience.

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 querying with SQL, and understand data analysis and machine learning concepts. Gaining experience through online courses, certifications, or internships can also help build practical knowledge for entry-level data mining roles.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis. However, data analysts are still essential for interpreting complex data, making strategic decisions, and providing context that AI tools cannot fully replicate. Skills in data visualization, statistical analysis, and tools like SQL and Python remain valuable in this evolving field.
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Entry Level Data Mining jobs near you

Data Analyst (Entry Level)

CodersData, LLC

North Patchogue, NY • On-site

Full-time

Posted 29 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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