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Entry Level Data Mining Jobs (NOW HIRING)

Altair Data Resources, Inc

Data Analyst

Brentwood, TN · On-site

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to ... Technical expertise regarding data models, data processing, data mining and segmentation techniques.

SynergisticIT

Entry Level Data Engineer

Dallas, TX

$113K - $136K/yr

... * Entry-level software programmers * Java Full stack developers * Python/Java developers * Data ... Snowflake, Databricks, LLM, Gen AI, text mining, Tableau, PowerBI, SAS, Tensorflow If you get ...

New York State

Data Analyst 1

Schenectady, NY · On-site

$66K - $85K/yr

OR six years of experience* in data visualization, and statistical models and data mining tools ... entry-level title (Data Analyst Trainee 1) may be advanced to the full-performance level (Data ...

Falconwood, Inc.

M365 Platform Developer

Suffolk, VA

$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 ...

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 ...

Falconwood, Inc.

M365 Platform Developer

Suffolk, VA

$105K - $115K/yr

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

Falconwood

M365 Platform Developer

Suffolk, VA

$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 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

Altair Data Resources, Inc

Brentwood, TN • On-site

Full-time

Posted 26 days ago

Job description

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant experience within our Data Management group helping clients understand more about their data. Using our analytics and visualization tools, you will gain experience working with industry-leading software applications such as Alteryx, Python, Power BI, R and SQL.
Data Analyst Job Duties
Data analyst responsibilities include conducting analysis and producing datasets based on customer or manager requirements. Data analysts will develop analysis and reporting capabilities. They will also monitor key performance indicators and quality control plans to identify improvements.
Data Analyst Responsibilities
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and "clean" data by reviewing computer reports and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities

Requirements
Data Analyst Job Requirements
  • Proven working experience as a data analyst or business data analyst. Class project experience may be substituted for work experience
  • Technical expertise regarding data models, data processing, data mining and segmentation techniques. Quality control methodologies are a plus (Lean, Six Sigma)
  • Strong knowledge of and experience with reporting packages (Tableau, Power BI, etc.), databases (SQL etc.), programming (Python, JavaScript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, R etc.)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • Working towards or completed BS or MS in Mathematics, Computer Science, Data Science, Information Management or Statistics

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