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Entry Level Data Analyst Jobs in Arkansas (NOW HIRING)

Experience in data, reporting, systems analysis, application support, business process improvement, or a related role; internships, co-ops, and relevant project work may count toward entry-level ...

Experience in data, reporting, systems analysis, application support, business process improvement, or a related role; internships, co-ops, and relevant project work may count toward entry-level ...

This entry-level role focuses on production cost analysis, budgeting support, variance analysis ... Ensure accuracy of production financial data in ERP and reporting systems. * Partner with ...

This entry-level role focuses on production cost analysis, budgeting support, variance analysis ... Ensure accuracy of production financial data in ERP and reporting systems. * Partner with ...

HR Coordinator

West Memphis, AR · On-site

$19.25 - $25.25/hr

HR Coordinator Reporting to the HR Director, the Human Resources Coordinator is an entry-level, ... Demonstrated ability to analyze data, identify trends, and translate insights into actionable ...

Realty Project Coach

Nashville, AR · 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 ...

Analyze process data and generate actionable insights using tools such as Excel, PowerPoint ... entry-level candidates with strong potential will be considered. * Prior experience in pulp and ...

Analyze process data and generate actionable insights using tools such as Excel, PowerPoint ... entry-level candidates with strong potential will be considered. * Prior experience in pulp and ...

Analyze process data and generate actionable insights using tools such as Excel, PowerPoint ... entry-level candidates with strong potential will be considered. * Prior experience in pulp and ...

Analyze process data and generate actionable insights using tools such as Excel, PowerPoint ... entry-level candidates with strong potential will be considered. * Prior experience in pulp and ...

Be Seen First

We have positions for entry-level candidates as well as positions with education and prior relevant ... Record data using an analytical balance and specialized software * Enter and organize data using ...

Be Seen First

We have positions for entry-level candidates as well as positions with education and prior relevant ... Record data using an analytical balance and specialized software * Enter and organize data using ...

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Entry Level Data Analyst information

See Arkansas salary details

$10

$27

$51

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

As of Aug 23, 2026, the average hourly pay for entry level data analyst in Arkansas is $27.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $30.43 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 Arkansas?

The most popular types of Data Analyst jobs in Arkansas are:

What are popular job titles related to Entry Level Data Analyst jobs in Arkansas?

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

What job categories do people searching Entry Level Data Analyst jobs in Arkansas look for?

The top searched job categories for Entry Level Data Analyst jobs in Arkansas are:

What cities in Arkansas are hiring for Entry Level Data Analyst jobs?

Cities in Arkansas with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Arkansas as of August 2026, with employment types broken down into 86% Full Time, 5% Temporary, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $56,632 per year, or $27.2 per hour.

Data Analyst (Entry Level)

1 point system

Bentonville, AR • On-site

Contractor

Re-posted 23 days ago


Job description

o This hourly position provides essential support for AI operations within the

department. The individual in this role will collaborate closely with Product

Managers, Operation Managers, and Engineering Managers to ensure seamless

communication and execution of tasks. Additional technology-focused

responsibilities and duties may be assigned as needed

About [Constellation]

• Constellation is a team within global Tech that specializes in building, deploying,

monitoring, and leveraging connected hardware for the purpose of distributing

critical data insights to drive operational excellence and power business initiatives

across Walmart Stores, DCs (Distribution Center), and FCs (Fulfillment Centers).

What you will do:

• This hourly position provides essential support for AI operations within the

department. The individual in this role will collaborate closely with Product

Managers, Operation Managers, and Engineering Managers to ensure seamless

communication and execution of tasks. Additional technology-focused

responsibilities and duties may be assigned as needed

What you will bring:

• Data Management: Proficient in capturing and documenting data attributes,

identifying risks, and ensuring compliance with established standards.

• IT Proficiency: Strong understanding of PC (Personal Computer) hardware, operating

systems, and troubleshooting common application issues.

• Technical Expertise: Experience with department-specific systems, tools, and

providing customer-focused technical support.

• Continuous Learning: Ability to stay updated on modern technologies, processes,

and apply them to enhance team performance.

• Attention to Detail: Meticulous in processing detailed information, ensuring

accuracy and minimizing errors.

• Technical Documentation: Skilled in creating clear and eLective technical

documentation for diverse audiences.

• Machine Learning: Understanding of machine learning principles, algorithms, and

implementation.

• Analytical Thinking: Ability to interpret complex data, identify patterns, and make

data-driven decisions.

• Compliance & Ethics: Adheres to company policies, ensuring ethical conduct and

integrity in all business processes.

• Task Management: Capable of prioritizing tasks, managing deadlines, and adapting

to changing business needs.