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Data Analyst Computer Science Jobs in Arkansas (NOW HIRING)

... computer science or related discipline with 4+ years' experience Practical experience with SAS, ETL, data processing, database programming and data analytics Proficient is Sql and no-sql languages, R ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information ...

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Data Analyst Computer Science information

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.
What are popular job titles related to Data Analyst Computer Science jobs in Arkansas? For Data Analyst Computer Science jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Arkansas look for? The top searched job categories for Data Analyst Computer Science jobs in Arkansas are:
What cities in Arkansas are hiring for Data Analyst Computer Science jobs? Cities in Arkansas with the most Data Analyst Computer Science job openings:
Infographic showing various Data Analyst Computer Science job openings in Arkansas as of June 2026, with employment types broken down into 1% Internship, 49% Full Time, 42% Part Time, 3% Contract, and 5% Nights. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.
Data Analyst

Data Analyst

Redolent, Inc

Bentonville, AR • On-site

Other

Posted 3 days ago


Job description


One of our direct client is urgently looking for a Data Analyst @ Bentonville AR
TITLE: Data Analyst
LOCATION:Bentonville, AR
Duration: 6 to 12+ Months
Rate: DOE
J
ob Duties:
Analyze, document and design data objects, data quality rules, and data quality tests to be landed and executed. Create resilient, and sustainable and Data Object Designs and Data Quality Rules. Be a product-oriented Data Analyst creating and experimenting with new ideas that will engage and excite our customers
Analyze complex data to identify patterns, detect anomalies in data using statistical tools as well as machine learning algorithms if required.
Collect customer requirements, determine technical issues, conduct analytics, and report insights and findings to executives and engineering teams.
Identify new sources of data and methods to improve data collection, analysis, and reporting. Collect, analyze, and report data to meet customer needs.
Evaluate various analytical/statistical methods and procedures and provide recommendation of relevance, applicability, efficiency to Walmart Catalog and Supply areas
Work with cross functional group consisting of Engineering, Product, Program managers to drive data-based decisions
Your Qualifications
Bachelor's degree in computer science or related discipline with 4+ years' experience
Practical experience with SAS, ETL, data processing, database programming and data analytics
Proficient is Sql and no-sql languages, R, Python
Worked on gathering data from Cassandra, Kafka, MongoDBs. Work with big data on GCP and Azure.
Handled multi-million records of data. Troubleshooting and fixing data issue
Data Visualization in any BI tools like Tableau, PowerBI, etc.,
Collected, analyzed, and reported data to meet customer needs.
Understanding and application of statistical concepts to solve business problems

Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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