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Entry Level Data Mining Jobs in Georgia (NOW HIRING)

Entry Level Data Mining information

See Georgia salary details

$43.1K

$59.1K

$75.2K

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

As of Sep 2, 2026, the average yearly pay for entry level data mining in Georgia is $59,106.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $71,800.00 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.

What are the most commonly searched types of Data Mining jobs in Georgia?

The most popular types of Data Mining jobs in Georgia are:

What cities in Georgia are hiring for Entry Level Data Mining jobs?

Cities in Georgia with the most Entry Level Data Mining job openings:

Infographic showing various Entry Level Data Mining job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $59,106 per year, or $28.4 per hour.

Junior Data Scientist/Analyst/Engineer - Remote

SC Works Trident

Savannah, GA • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Junior Data Scientist/Analyst/Engineer - Remote Job #: 24-01088 Source: SynergisticIT Posted: 8/27/2024 Web Site: www.synergisticit.com Work at home all of the time Job Type: Full Time (30 Hours or More) Responsibilities Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. 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 report data findings; may create dynamic data reports.

Qualifications

Entry-level; looking for individuals who can contribute to data science projects. Proficiency in programming languages such as Python or Java; familiarity with machine learning libraries is a plus. Strong analytical and communication skills. All positions are open for all visa categories and U.S. citizens.