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Entry Level Data Analyst Jobs in Kansas (NOW HIRING)

Business Analyst I

Overland Park, KS · On-site

$50K - $70K/yr

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

Business Analyst I

Overland Park, KS · On-site

$50K - $70K/yr

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

Functional Analyst I

Overland Park, KS · On-site

$50K - $70K/yr

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

Financial Analyst I

Overland Park, KS · On-site

$50K - $70K/yr

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

Systems Analyst I

Overland Park, KS · On-site

$50K - $70K/yr

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

Systems Analyst I

Overland Park, KS · On-site

$50K - $70K/yr

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

Financial Analyst I

Overland Park, KS · On-site

$50K - $70K/yr

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

Functional Analyst I

Overland Park, KS · On-site

$50K - $70K/yr

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

This entry-level role assists with market pricing, data analysis, and compensation processes such as annual pay reviews, job evaluations, and incentive programs. Working under guidance, the ...

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

IT Analyst I

Overland Park, KS · On-site

$50K - $70K/yr

Role Overview We are hiring both entry-level and experienced candidates for this role. Whether you ... Gain experience in data analysis, reporting, and workflow automation . * Stay up-to-date with ...

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Entry Level Data Analyst information

See Kansas salary details

$11

$29

$55

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

As of Jul 6, 2026, the average hourly pay for entry level data analyst in Kansas is $29.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $32.79 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 Kansas? The most popular types of Data Analyst jobs in Kansas are:
What cities in Kansas are hiring for Entry Level Data Analyst jobs? Cities in Kansas with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Kansas as of June 2026, with employment types broken down into 74% Full Time, 5% Part Time, and 21% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $61,080 per year, or $29.4 per hour.
Data Analyst - Kiewit Data Services

Data Analyst - Kiewit Data Services

Kiewit Corporation

Lenexa, KS

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Kiewit Corporation rating

7.9

Company rating: 7.9 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

19th of 79 rated construction


Job description

Requisition ID: 180693 

Job Level: Entry Level 

Home District/Group: DHO Kiewit Data Services 

Department: Data Services 

Market: Corporate Home Office 

Employment Type: Full Time 

Position Overview

We are seeking a data-driven product and analytics professional who thrives at the intersection of data, technology, and business operations. This role combines data analysis and project coordination with product management responsibilities - ensuring that our data tools and analytics products are adopted, refined, and continuously improved.

As a Data Analyst, you will:
Manage and support major data initiatives and tools within your domain.
Partner with technical and business teams to drive adoption and usability.
Lead product and project efforts from requirement gathering through rollout and measurement.
Proactively seek new ideas and opportunities to advance the domain, staying informed on industry trends and best practices.

You'll partner closely with the Data Strategy Domain Manager to:
Drive adoption and continuous improvement of data products.
Assess and enhance model inputs, data quality, and performance.
Build analytics and metrics to guide both operational decisions and product evolution.
Ensure alignment between business needs, technical development, and delivery timelines.

This position is ideal for someone with a strong technical foundation in SQL, Python, Snowflake, and BI platforms, along with an interest in project coordination, stakeholder engagement, and data-driven product strategy. The role also requires a strong drive for self-learning, high attention to detail, and strong organizational skills, as well as an interest in solving complex problems.

District Overview

Kiewit Data Services' (KDS) mission is to make Kiewit the premier data-driven organization in our industry. To accomplish this, our projects and districts need to have the right quality of data and the right level of analysis available to them at the right time. KDS is a cross functional organization with employees that have expertise in data, technology, support, and operations backgrounds. Our core functions are data Quality, Governance, Enablement, Analytics and Data Science. We are intent on delivering a world class user experience to Kiewit employees and believe in the power of analytics to aid us in this mission.

Location

This position is based in Lenexa, KS or Omaha, NE. Relocation is not provided for this position.

Responsibilities

Stakeholder Support & Product Enablement:
Serve as the primary point of contact for your domain's data tools and products.
Provide structured, consistent support to users and product stakeholders.
Translate business needs into technical requirements and clear action plans.
Maintain user feedback channels and translate insights into backlog items or improvement stories.

Data Fluency & Technical Support:
Understand how tools and models work: key inputs, assumptions, and outputs.
Use SQL, Snowflake, or Python to conduct data validation, monitor usage, and investigate user issues.
Partner with Data Products and Engineering teams to resolve tool issues or data discrepancies.
Contribute to the release testing and validation prior to deployments.

Roadmap & Communication:
Maintain adoption and support documentation.
Support project scoping, timeline planning, and resource coordination for data products.
Help track rollout milestones and identify areas for re-engagement or retraining.
Build transparency around progress, risks and upcoming releases.
Communicate updates clearly to business stakeholders.

Launch & Adoption Support:
Coordinate rollout and hypercare for new or updated tools.
Develop user-facing resources such as release notes, how-to guides, and short videos.
Organize and deliver training sessions to build user confidence and tool fluency.

Qualifications

Bachelor's degree in Data Analytics, Construction Management, Engineering, or related field.
Familiarity with construction or engineering processes and tools.
Working knowledge of SQL and at least one of: Python, Snowflake, Power BI, or Sigma Computing.
Excellent communication skills - able to translate between technical and non-technical audiences.
Attention to detail is a must, especially in a fast-paced development environment.
Proven ability to support digital tool adoption and explain technical concepts to non-technical users.

Other Requirements:

  • Regular, reliable attendance 
  • Work productively and meet deadlines timely
  • Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
  • Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
  • Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
  • May work at various different locations and conditions may vary.

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.
 


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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884