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Data Visualization Jobs in Kansas (NOW HIRING)

Associated Wholesale Grocers

Data Architect

Kansas City, KS · Hybrid

$60 - $77.25/hr

Familiarity with data visualization tools (e.g., Tableau, PowerBI). * Expertise in cloud services (e.g., AWS, Azure) and cloud database and ELT services, preferably. Databricks, Azure Data Lake, BLOB ...

MMGY Global

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

Strong working knowledge and experience using data visualization software (Tableau, Power BI, Looker Studio) for client dashboard reporting, plus proficiency in Microsoft Excel. * Demonstrated ...

New

MMGY Global

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

Strong working knowledge and experience using data visualization software (Tableau, Power BI, Looker Studio) for client dashboard reporting, plus proficiency in Microsoft Excel. * Demonstrated ...

New

MMGY Global

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

Strong working knowledge and experience using data visualization software (Tableau, Power BI, Looker Studio) for client dashboard reporting, plus proficiency in Microsoft Excel. * Demonstrated ...

New

TAMKO

Manufacturing Data Scientist

Phillipsburg, KS · On-site

Perform data visualization and statistical analysis to reduce waste, improve availability and uptime, and enhance quality in manufacturing processes. * Critically evaluate emerging methods, tools ...

New

MMGY Global

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

Strong working knowledge and experience using data visualization software (Tableau, Power BI, Looker Studio) for client dashboard reporting, plus proficiency in Microsoft Excel. * Demonstrated ...

New

Reli Group Inc

Power BI Intern

Topeka, KS · On-site

$15/hr

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

Reli Group Inc

Power BI Intern

Wichita, KS · On-site

$15/hr

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

Reli Group Inc

Power BI Intern

Kansas City, KS · On-site

$15/hr

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

Reli Group Inc

Power BI Intern

Pittsburg, KS · On-site

$15/hr

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

Reli Group Inc

Power BI Intern

Overland Park, KS · On-site

$15/hr

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

Mercury Fiber

Intern - Reporting, Mission KS

Mission, KS · On-site

$14 - $18.75/hr

Experience with data visualization software such as Power BI. * Previous internship or project experience involving data reporting or analysis. * Ability to work independently and as part of a ...

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All JobsData Visualization JobsData Visualization Jobs in Kansas

Data Visualization information

See Kansas salary details

$48.2K

$97.6K

$144K

How much do data visualization jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data visualization in Kansas is $97,613.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $109,700.00 per year, depending on experience, location, and employer.

What Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a Data Visualization Specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These positions involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
More about Data Visualization jobs
What are the most commonly searched types of Data Visualization jobs in Kansas? The most popular types of Data Visualization jobs in Kansas are:
What are popular job titles related to Data Visualization jobs in Kansas? For Data Visualization jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in Kansas look for? The top searched job categories for Data Visualization jobs in Kansas are:
What cities in Kansas are hiring for Data Visualization jobs? Cities in Kansas with the most Data Visualization job openings:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,613 per year, or $46.9 per hour.
Senior Data Engineer

Senior Data Engineer

Velocity Staff

Overland Park, KS • On-site

$104K - $142K/yr

Full-time

Re-posted 15 days ago

Job description

Velocity Staff, Inc. is working with our client located in the Overland Park, KS area to identify a Senior Level Data Engineer to join their Data Services Team. The right candidate will utilize their expertise in data warehousing, data pipeline creation/support and analytical reporting and be responsible for gathering and analyzing data from several internal and external sources, designing a cloud-focused data platform for analytics and business intelligence, reliably providing data to our analysts. This role requires significant understanding of data mining and analytical techniques. An ideal candidate will have strong technical capabilities, business acumen, and the ability to work effectively with cross-functional teams.


  • Work with Data architects to understand current data models, to build pipelines for data ingestion and transformation.
  • Design, build, and maintain a framework for pipeline observation and monitoring, focusing on reliability and performance of jobs.
  • Surface data integration errors to the proper teams, ensuring timely processing of new data.
  • Provide technical consultation for other team members on best practices for automation, monitoring, and deployments. 
  • Provide technical consultation for the team with “infrastructure as code” best practices: building deployment processes utilizing technologies such as Terraform or AWS Cloud Formation.

  • Bachelor’s degree in computer science, data science or related technical field, or equivalent practical experience
  • Proven experience with relational and NoSQL databases (e.g. Postgres, Redshift, MongoDB, Elasticsearch)
  • Experience building and maintaining AWS based data pipelines: Technologies currently utilized include AWS Lambda, Docker / ECS, MSK 
  • Mid/Senior level development utilizing Python: (Pandas/Numpy, Boto3, SimpleSalesforce)
  • Experience with version control (git) and peer code reviews
  • Enthusiasm for working directly with customer teams (Business units and internal IT)
  • Preferred but not required qualifications include: 
    • Experience with data processing and analytics using AWS Glue or Apache Spark
    • Hands-on experience building data-lake style infrastructures using streaming data set technologies (particularly with Apache Kafka)
    • Experience data processing using Parquet and Avro
    • Experience developing, maintaining, and deploying Python packages
    • Experience with Kafka and the Kafka Connect ecosystem.
    • Familiarity with data visualization techniques using tools such as Grafana, PowerBI, AWS Quick Sight, and Excel.   

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