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Data Analyst Computer Science Jobs in Kansas (NOW HIRING)

WellSky

Staff Data Analyst

Overland Park, KS · On-site

$2.5K/yr

The Staff Data Analyst isresponsible forperforming statistical modeling and data analysis to ... Must be able to sit and view a computer screen for extended periods of time #LI-CS1 #LI-Onsite ...

Varsity Tutors

AP Computer Science A Tutor

Wichita, KS · Remote

$18 - $40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

WellSky

Staff Data Analyst

Overland Park, KS · On-site

$61K - $81K/yr

The Staff Data Analyst is responsible for performing statistical modeling and data analysis to ... Must be able to sit and view a computer screen for extended periods of time #LI-CS1 #LI-Onsite ...

Deloitte

Data Product Analyst

Wichita, KS · On-site

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ... As an experienced Data Product Analyst - Analyst, you will have the opportunity to share new ideas ...

TAMKO

Manufacturing Data Scientist

Phillipsburg, KS

Bachelor's degree in Mathematics, Science, Engineering, Computer Science, Data Science, Statistics ... Strong analytical skills and attention to detail. * Proficiency in Python and SQL for data analysis ...

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Data Analyst Computer Science information

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.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI 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, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
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Data Analyst Computer Science jobs near you
Infographic showing various Data Analyst Computer Science job openings in Kansas as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 88% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Data Analyst - Federal Programs (Program Analytics | Reporting & Visualization)

Data Analyst - Federal Programs (Program Analytics | Reporting & Visualization)

JBS International, Inc.

Kansas City, KS • On-site

Full-time

Posted 12 days ago

Job description

Job Summary:
JBS International, Inc. is seeking a Data Analyst for Federal Programs focused on program analytics and reporting. The role involves implementing advanced data analytics, managing data collection and validation, and developing visualizations to support client needs.
Responsibilities:
• Clean, prepare, and validate quantitative and qualitative data for reliable analysis and reporting.
• Support and monitor data collection including programming surveys using Qualtrics and Alchemer. Data collection activity may involve organizing and maintaining data from quantitative and qualitative sources while ensuring quality and accuracy.
• Conduct data analysis, statistical programming, and data manipulation, leveraging tools such as Excel, Python, R, and Smartsheet.
• Identify trends, patterns, and correlations through data analysis to provide insights into program delivery and to inform customer service efficiency.
• Develop data visualization and infographics Tableau, Power BI, or ArcGIS
• Support development of client-ready written materials (e.g., contribute to reports, prepare charts and tables, PowerPoint).
• Monitor tasks and deliverables for contract compliance.
Qualifications:
Required:
• Bachelor’s Degree in Statistics, Mathematics, Economics, Data Science, or related field from an accredited university or college.
• 3 years of experience comprising 2 years of focused research experience with additional experience including a combination of college labs, internships.
• Strong foundation in statistics and hands-on experience with tools such as Excel, SQL, R, Python.
• Experience leveraging GitHub and organizing documentation on Confluence or SharePoint.
• Strong problem solving, analysis, communication, and teamwork skills.
• Excellent organization and time management skills.
• Ability to write clearly and concisely with attention to detail.
• Strong analytical and critical thinking skills.
• Experience with reporting analytical findings, qualitative data analysis, and working with data layers.
• English fluency (oral and written).
• Microsoft Office (Excel, Outlook, PowerPoint, Power BI), Smartsheet.
• Project Management (Jira, Confluence, GitHub, Monday.com).
• Programming and Statistics (Python SQL, R, or other statistical packages or languages).
• Ability to pass background investigations as required for access to federal facilities and systems.
• Ability to sit for extended periods and operate a computer keyboard and mouse.
• Must be able to see and read computer screens and printed materials.
• Capable of using hands and fingers to operate equipment and perform tasks requiring precision.
• Able to effectively communicate verbally and in writing with team members and stakeholders.
• Frequently required to stand, walk, reach, and bend to access office equipment and attend meetings.
• Ability to lift and carry up to 50 pounds for short distances.
• Must be able to perceive and interact with the environment using hearing and speaking skills.
• Primarily works in a typical office environment, with exposure to computer screens and moderate noise levels.
Preferred:
• Data analysis experience in early childhood-related topics.
Company:
Established in 1985 by two women, JBS International, Inc. Founded in 1985, the company is headquartered in Atlanta, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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