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Data Analyst Ai Jobs in Kansas (NOW HIRING)

LanceSoft, Inc.

Data Analyst III

Wichita, KS · On-site

... AI programs to sort and filter outputs based on similar descriptions using natural language ... or data analyses and validate results for accuracy and effectiveness. • Document and report ...

BASYS Processing

Financial Data & BI Analyst

Lenexa, KS · Hybrid

Summary This Financial Data & BI Analyst is responsible for owning data-driven financial reporting ... To remain innovative and efficient, the use of AI is typical and expected within this role and at ...

BASYS Processing

Financial Data & BI Analyst

Lenexa, KS · On-site

Summary This Financial Data & BI Analyst is responsible for owning data-driven financial reporting ... To remain innovative and efficient, the use of AI is typical and expected within this role and at ...

BASYS Processing

Financial Data & BI Analyst

Lenexa, KS · Hybrid

Summary This Financial Data & BI Analyst is responsible for owning data-driven financial reporting ... To remain innovative and efficient, the use of AI is typical and expected within this role and at ...

Ascend Learning

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

This role designs and implements advanced analytical and AI/LLM-based solutions - including generative AI and conversational data-access tools - that span multiple business functions, translating ...

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How much do data analyst ai jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data analyst ai in Kansas is $34.20, according to ZipRecruiter salary data. Most workers in this role earn between $24.66 and $41.44 per hour, depending on experience, location, and employer.

What is a data analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

How does a data analyst AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

What are the key skills and qualifications needed to thrive as a data analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

What is the difference between Data Analyst Ai vs Data Scientist?

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

How to become a data analyst AI?

To become a data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain experience with machine learning tools and frameworks. Acquiring relevant certifications and understanding data visualization and database management can also enhance your qualifications.

What are the most commonly searched types of Data Analyst Ai jobs in Kansas?

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What are popular job titles related to Data Analyst Ai jobs in Kansas?

For Data Analyst Ai jobs in Kansas, the most frequently searched job titles are:

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Data Analyst Ai jobs near you
Infographic showing various Data Analyst Ai job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $71,131 per year, or $34.2 per hour.

Data Analyst III

LanceSoft, Inc.

Wichita, KS • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
LanceSoft, Inc. is seeking a Data Analyst III to extract and analyze data from SAP S/4HANA. The role involves creating Excel macros, managing datasets, and collaborating with stakeholders to improve data processes.
Responsibilities:
• Extract data from SAP S/4HANA and export to Excel for further processing.
• Create and manage Excel macros and pivot tables to sort, compare, and analyze data outputs.
• Gather datasets from Excel and filter for duplications using the description fields.
• Utilize AI programs to sort and filter outputs based on similar descriptions using natural language interpretation.
• Contribute to the development and requirement definition of technologies, products, systems, and services.
• Analyze technical and business challenges, develop hypotheses, evaluate alternatives, and recommend solutions.
• Set up and configure simulation, testing, and prototyping environments.
• Program and develop specialized software tools used within the team or organization.
• Conduct simulations or data analyses and validate results for accuracy and effectiveness.
• Document and report results using appropriate data visualization methods.
• Collaborate with customers, business experts, product management, and other stakeholders.
• Provide guidance and assistance to less experienced colleagues as needed.
• Support continuous improvement by identifying optimization opportunities in tools and processes.
Qualifications:
Required:
• Bachelor’s degree in Information Technologies, Database Management, or a related field required.
• 1–3 years of experience in data migration.
• Hands-on experience with SAP S/4HANA, particularly with the following modules: MM (Materials Management) – Procurement, LE (Logistics Execution)
• Experience in Master Data Migration processes.
• Proficiency in Excel, including advanced features like macros and pivot tables.
• Experience with data cleansing, deduplication, and standardization.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and in collaboration with cross-functional teams.
Preferred:
• Familiarity with AI or natural language processing tools for description matching is a plus.
• Certification in specific SAP modules or data migration tools is a plus.
• Entry-level professionals with foundational knowledge in technical fields are welcome.
Company:
Established in 2000, LanceSoft is a pioneer in delivering top-notch Global Workforce Solutions and IT Services to a diverse clientele. Founded in 2000, the company is headquartered in Herndon, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
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About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

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