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Entry Level Data Analyst Jobs in Columbus, IN (NOW HIRING)

College Job type : Full Time Entry Level Subfunction : N/A Degree level : Bachelor Educational ... Ensure data governance, security, and compliance requirements are considered in AI-related ...

Ability to integrate and analyze data across multiple subsystems * Basic Understanding of prompt ... Exempt Entry Level: Designed for external candidates within 2 years of completing their highest ...

Ability to integrate and analyze data across multiple subsystems * Basic Understanding of prompt ... Exempt Entry Level: Designed for external candidates within 2 years of completing their highest ...

Ability to integrate and analyze data across multiple subsystems * Basic Understanding of prompt ... Exempt Entry Level: Designed for external candidates within 2 years of completing their highest ...

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Entry Level Data Analyst information

See Columbus, IN salary details

$12

$30

$57

How much do entry level data analyst jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for entry level data analyst in Columbus, IN is $30.62, according to ZipRecruiter salary data. Most workers in this role earn between $19.66 and $34.18 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What are the key skills and qualifications needed to thrive as an entry level data analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are the most commonly searched types of Data Analyst jobs in Columbus, IN?

The most popular types of Data Analyst jobs in Columbus, IN are:

What are popular job titles related to Entry Level Data Analyst jobs in Columbus, IN?

For Entry Level Data Analyst jobs in Columbus, IN, the most frequently searched job titles are:

What cities near Columbus, IN are hiring for Entry Level Data Analyst jobs?

Cities near Columbus, IN with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Columbus, IN as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $63,697 per year, or $30.6 per hour.

IT Applications Analyst

Cummins Inc.

Columbus, IN • On-site

Full-time

Posted 11 days ago


Cummins rating

8.0

Company rating: 8.0 out of 10

Based on 265 frontline employees who took The Breakroom Quiz

138th of 543 rated manufacturers


Job description

Job Summary:

Provides comprehensive application functionality, configuration and support expertise for application software solutions; works with business analysts, architects, technical experts and software vendors on the solution requirements, design, configuration, functionality gap resolution, implementation, support, maintenance and enhancement of the applications.

Key Responsibilities:

Assists in the analysis and evaluation of application functionality. Documents recommendations to increase utilization of standard application functionality to improve business processes and capabilities. Contributes to the determination and documentation of optimum application setup and configuration to meet functional requirements and specifications. Configures and verifies application setup and configuration. Develops expertise in emerging application and solution trends and functionality. Provides functional recommendations for assigned applications and systems. Contributes to the analysis of potential application solutions, Able to document recommended solutions to address functionality gaps in the application. Works with vendors to improve application functionality and resolve functionality issues. Documents and reviews functional, architecture and technical requirements and designs for process owners, business analysts, and architects. Contributes knowledge and serves as a contact resource for content, processes, procedures and functionality associated with assigned applications for projects and application support (as needed). Documents functional specifications for a given project from which programs and configurations will be applied to create the program, application, or complete solution.Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

College Job type: Full Time Entry Level

Subfunction: N/A 

Degree level: Bachelor

Educational Program: Computer Science

Start date: Fall 2026

Job Skill Requirements

Core Responsibilities: 

Assist in preparing and refining datasets for AI model development, including data cleansing, validation, and basic analysis.

Work with development teams to test AI models and validate outputs against business expectations.

  • Participate in user acceptance testing (UAT) for AI-driven procurement tools and ensure alignment with business requirements.
  • Participate in vendor evaluations for AI tools and platforms, including basic research and comparative analysis.
  • Ensure data governance, security, and compliance requirements are considered in AI-related initiatives.
  • Prepare presentations and summaries for stakeholders on AI initiatives, progress, and outcomes. 

Competencies: 
Business insight - Applying knowledge of business and the marketplace to advance the organization's goals.
Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
Customer focus - Building strong customer relationships and delivering customer-centric solutions.
Interpersonal savvy - Relating openly and comfortably with diverse groups of people.
Plans and aligns - Planning and prioritizing work to meet commitments aligned with organizational goals.
Tech savvy - Anticipating and adopting innovations in business-building digital and technology applications.
Solution Configuration - Configures, creates and tests a solution for commercial off-the-shelf (COTS) applications using industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements.
Solution Design - Creates and defines the solution design complete with instrumentation and measurement, using industry standards and tools, version control, and build and test automation to synthesize diagrams, models and documentation in order to build a solution that meets buildability, business, technical, security, governance and compliance requirements.
Solution Functional Fit Analysis - Composes and decomposes a system into its component parts using procedures, tools and work aides for the purpose of studying how well the component parts were designed, purchased and configured to interact holistically to meet business, technical, security, governance and compliance requirements.
Solution Modeling - Creates, designs and formulates models, diagrams and documentation using industry standards, tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements.
Solution Validation Testing - Validates a configuration item change or solution using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements.
Values differences - Recognizing the value that different perspectives and cultures bring to an organization. 
Education, Licenses, Certifications: 
College, university, or equivalent degree in Computer Science, Information Technology, Business, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. 
Experience: 
Minimal relevant work experience required. 1-2 years of experience

U.S. Early Careers Eligibility Requirements:

Exempt Entry Level: Designed for external candidates within 2 years of completing their highest level of degree (Bachelor, Master, PhD, MBA, or JD) from an accredited U.S. college/university, and currently reside within the continental U.S.

International Student Eligibility (U.S. based roles): F-1 visa students must have approved Curricular Practical Training (CPT) or Occupational Practical Training (OPT) before their Early Career assignment begin. CPT/OPT must relate to their degree and be authorized by their university. Students are responsible for securing this approval through their school's international office.


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About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919