2

Entry Level Data Analyst Jobs in Springfield, OH

Analyzing supporting documentation, transaction data, and case trends to distinguish error, misuse, and intentional misconduct. * Preparing case summaries, findings, and recommendations for ...

Analyze test data against governing customer and industry specifications to generate accurate ... Base Salary: $60,000 to $70,000 for entry-level candidates, with flexibility up to $80,000 for ...

(USA) Realty Project Coach

Dayton, OH · On-site

$60K - $110K/yr

... from entry-level roles all the way to executive positions. Thanks to our unique mix of career ... data analysis, or related area OR 3 years of experience in project management, space management ...

Store Supervisor

Dayton, OH · On-site

$60K - $110K/yr

... from entry-level roles all the way to executive positions. Thanks to our unique mix of career ... data analysis, or related area OR 3 years of experience in project management, space management ...

Department Supervisor

Dayton, OH · On-site

$60K - $110K/yr

... from entry-level roles all the way to executive positions. Thanks to our unique mix of career ... data analysis, or related area OR 3 years of experience in project management, space management ...

... from entry-level roles all the way to executive positions. Thanks to our unique mix of career ... data analysis, or related area OR 3 years of experience in project management, space management ...

... co-op, entry level job role, or similar is preferred * Experience with Vision and Inspection ... using data, analyzing production results, and following proven problem-solving methods * Basic ...

next page

Showing results 1-20

Entry Level Data Analyst information

See Springfield, OH salary details

$11

$29

$55

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

As of Jul 26, 2026, the average hourly pay for entry level data analyst in Springfield, OH is $29.66, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $33.12 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

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 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 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.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior 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 the most commonly searched types of Data Analyst jobs in Springfield, OH? The most popular types of Data Analyst jobs in Springfield, OH are:
What cities near Springfield, OH are hiring for Entry Level Data Analyst jobs? Cities near Springfield, OH with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Springfield, OH as of July 2026, with employment types broken down into 84% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $61,689 per year, or $29.7 per hour.
Technical Data Analyst

$40K - $45K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Reynolds and Reynolds rating

8.1

Company rating: 8.1 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

112th of 245 rated software companies


Job description

Position Description
As the Conversion and Migration Specialist, you will be converting customer data from competitive databases to Reynolds databases. You will also complete migration of customer data from one Reynolds hardware platform to another. This involves maintaining a good working relationship with customers throughout the conversion or migration process to ensure quality results. You will also be supporting remote and field-based trainers and field engineers on the conversion and migration processes. Through this, you will develop a good working knowledge of competitive products, keep abreast of enhancements to the Reynolds product lines as well as develop knowledge of system environment, integration, and system connectivity for different product lines.
Requirements
Bachelor's degree in MIS, Computer Science, Mathematics or related field; open to entry-level candidates; Fundamental understanding of basic programming languages; Strong analytical and organizational skills; Ability to establish goals, set priorities and multi-task is a must; Good communication skills; Must have a flexible work schedule with ability to work evenings or weekends
Benefits
We strive to offer an environment that provides our associates with the right balance between work and family. We offer a comprehensive benefits package including:
- Medical, dental, vision, life insurance, and a health savings account
- 401(k) with up to 6% matching
- Paid vacation, sick days, and holidays
- Reynolds offers a hybrid work schedule, based on position eligibility. Following completion of your training period, eligible associates may work-from-home up to two days per week.
Company perks, including:
- Referral bonuses
- Professional development and training
- Promotion from within
-Associate discounts for cell phones, cars, computers, entertainment, and much more
Facility amenities, including:
- An onsite dining facility offering complimentary breakfast and lunch
- A fitness center
- An onsite medical center
- A wide variety of sports and social leagues to participate in after work, along with volunteering initiatives through our Associate Foundation
Reynolds and Reynolds promotes a healthy lifestyle by providing a non-smoking environment. Reynolds and Reynolds is an equal opportunity employer.

What Reynolds and Reynolds employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Reynolds and Reynolds logo

About Reynolds and Reynolds

Sourced by ZipRecruiter

Reynolds and Reynolds develops and supports software for automotive retailers. We feature the industry’s only Retail Management System. This platform gives dealers a choice in dealership management systems (DMS) — ERA-IGNITE or POWER — along with retailing tools built to work together to streamline dealership operations and to improve customer satisfaction with the dealership. We also manufacture and distribute business forms and promotional items. Our products help dealers reduce compliance risk, brand their dealership, increase efficiency, and simplify administrative processes. Our associates are the key to our success. We wouldn’t be the leader in the automotive industry without them. We foster an environment that allows associates to grow professionally through engaging work and promotion from within.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

1,001 - 5,000 Employees

Headquarters location

Dayton, OH, US

Year founded

1866