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

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 ...

Electronic Systems Engineer - Software

Columbus, IN · On-site

$161K - $190K/yr

This entry level/early career professional, applied technology position creates software that is ... Analytical review of automotive sensor and actuator data sheets as well as electrical schematics to ...

This entry level/early career professional, applied technology position creates software that is ... Analytical review of automotive sensor and actuator data sheets as well as electrical schematics to ...

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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 22, 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.

Full-time

Posted 13 days ago


Cummins rating

8.0

Company rating: 8.0 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

137th of 544 rated manufacturers


Job description

Job Summary:

Build high-quality, innovative and fully performing software in compliance with coding standards and technical design. Design, modify, develop, write and implement software programming applications. Support and/or install software applications. Participate in the testing process through test review and analysis, test witnessing and certification of software.

Key Responsibilities:

Develop software solutions by studying information needs; conferring with users; studying systems flow, data usage and work processes; investigating problem areas; following the software development lifecycle; Document and demonstrate solutions; Develops flow charts, layouts and documentation Determine feasibility by evaluating analysis, problem definition, requirements, solution development and proposed solutions; Understand business needs and know how to create the tools to manage them Prepare and install solutions by determining and designing system specifications, standards and programming Participate in educational opportunities; read professional publications; maintain personal networks; participate in professional organizations Provide information by collecting, analyzing, and summarizing development and issues while protecting IT assets by keeping information confidential; Improve applications by conducting systems analysis recommending changes Define applications and their interfaces, allocate responsibilities to applications, understand solution deployment, and communicate requirements for interactions with solution context, define Nonfunctional Requirements (NFRs) Understands multiple architectures and how to apply architecture to solutions; understands programming and testing standards; understands industry standards for traditional and agile developmentCummins 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: Entry Level Full-time.

Subfunction: Not Applicable

Degree level: BS

Educational Program: Artificial Intelligence & Business Analytics

Start date: 1st of June 2027

Job Skill Requirements:

  • Familiarity with AWS services, APIs, databases, telemetry data flows, logging platforms, and distributed system architectures.
  • Ability to integrate and analyze data across multiple subsystems
  • Basic Understanding of prompt engineering, agent design patterns, and AI-driven decisioning systems
  • Develop and enhance full-stack applications using modern web and cloud technologies.
  • Support cloud service development, integration, and deployment activities.
  • Create and execute automated tests to validate software quality and reliability.
  • Participate in code reviews and adopt software engineering best practices.
  • Assist in monitoring, troubleshooting, and improving cloud-hosted applications.
  • Collaborate with global engineering teams on feature development and technical investigations.
  • Document solutions, technical designs, and implementation approaches.
  • Learn and apply cloud architecture, cybersecurity, DevOps, and Agile development practices.

Required Work Location: On-site with Flexibility

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.

Competencies: 
Business insight - Applying knowledge of business and the marketplace to advance the organization's goals.
Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
Customer focus - Building strong customer relationships and delivering customer-centric solutions.
Global perspective - Taking a broad view when approaching issues, using a global lens.
Manages conflict - Handling conflict situations effectively, with a minimum of noise.
Agile Architecture - Designs the fundamental organization of a system embodied by its components, their relationships to each other and to the environment to guide its emergent design and evolution.
Agile Development - Uses API-First Development where requirements and solutions evolve through the collaborative effort of self-organizing and cross-functional teams and their customer(s)/end user(s) to construct high-quality, well designed technical solutions; understands and includes the Internet of Things (IoT), the Digital Mesh, and Hyper Connectivity as inputs to API-First Development so solutions are more adaptable to future trends in Agile development.
Agile Systems Thinking - Embraces a holistic approach to analysis that focuses on the way that a system's constituent parts interrelate and how systems work over time and within the context of larger systems to ensure the economic success of the solution. 
Agile Testing - Leads a cross-functional agile team with special expertise contributed by testers working at a sustainable pace, by delivering business value desired by the customer at frequent intervals to ensure the economic success of the solution.
Regulatory Risk Compliance Management - Evaluates the design and effectiveness of controls against established industry frameworks and regulations to assess adherence with legal/regulatory 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.
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, Engineering, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. 
Experience: 
Experience working as a software engineer such as in a temporary student employment, intern, co-op, or other extracurricular team activities is preferred and includes working in an Agile environment and demonstrating knowledge in fundamental IT technical skill sets and ability to take a solution from scoping requirements through actual launch of the solution.


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About Cummins

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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