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Entry Level Data Mining Jobs in Indiana (NOW HIRING)

RFA Engineering

Supplier Quality Engineer

Lafayette, IN · On-site

$60K - $80K/yr

We are seeking an Entry-Level to Experienced candidate to become an integral part of our ... Help root cause analysis and provide fact & data-based information to concerned parties for problem ...

RFA Engineering

Mechanical Engineer

Lafayette, IN · On-site

$65K - $80K/yr

We are seeking an entry-level to experienced candidate to become an integral part of our ... Investigate, gather and analyze data and implement solutions. * Ability to inspect and accept ...

All JobsData Mining JobsEntry Level Data Mining JobsEntry Level Data Mining Jobs in Indiana

Entry Level Data Mining information

See Indiana salary details

$48.5K

$66.6K

$84.7K

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

As of Jul 29, 2026, the average yearly pay for entry level data mining in Indiana is $66,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $80,900.00 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 Indiana? The most popular types of Data Mining jobs in Indiana are:
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What job categories do people searching Entry Level Data Mining jobs in Indiana look for? The top searched job categories for Entry Level Data Mining jobs in Indiana are:
What cities in Indiana are hiring for Entry Level Data Mining jobs? Cities in Indiana with the most Entry Level Data Mining job openings:
Entry Level Data Mining jobs near you
Infographic showing various Entry Level Data Mining job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $66,609 per year, or $32 per hour.

Customer Success

Tellworks Communications

Jeffersonville, IN • On-site

Full-time

Posted 6 days ago

Job description

Job Posting Title: Entry-Level Customer Service Analyst

Location: IDC (Onsite Jeffersonville, Indiana)

Schedule: 1st shift (7:30am EST – 4:00pm EST)


Job Description

Tellworks Logistics is seeking an entry-level Customer Service Analyst to support customer service and warehouse operations. The candidate will be an onsite internal and external customer service and system analyst. This role is responsible for day-to-day operational and customer account activities (including order management, reporting/analysis, inventory monitoring, & project management activities). The candidate will perform duties as assigned under the direction of management to support a major telecommunications client. This role will work directly with internal and external clients for daily communication, identifying system issues and resolution, analyzing data trends, and supply reporting.


Key Responsibilities and Essential Duties:

· Primary liaison between the customer, commercial organization, IT resources and internal support functions

· Utilize Microsoft office suite to support daily operations, reporting, and customer communications

· Gather, prioritize, and communicate functional and technical requirements to the appropriate cross-functional organizations

· Support the implementation, testing, and execution of proposed/new solutions for key development

· Maintain ongoing communications with external clients, IT and operations to ensure excellent service and issue resolution

· Manage customer correspondence and provide timely responses to inquiries and requests

· Analyze operational data, identify trends, and assist with problem resolution and process improvements.

Qualifications:

· Self-motivated professional with excellent verbal and written communication skills, capable of working with both non-technical and technical teams

· Strong customer service and relationship skills, ability to work in team-oriented environment

· Proficient to expert in Microsoft Office Suite, particularly Excel, with the ability to quickly learn new software and systems.

· Ability to work in a cross-functional environment

· Analytical with strong problem-solving abilities

· Experience with data analysis, data mining and manipulation preferred

Education:

· High School diploma or GED required

· 1 or more years of customer service experience preferred

· Associate's or bachelor's degree in Business, Supply Chain, Information Systems, or a related field is a plus.

Apply