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Python Data Analyst Jobs in Kansas (NOW HIRING)

Textron

Data Engineer-IT

Wichita, KS

$102K - $123K/yr

At Textron Aviation, we are building a community of Data & Analytics professionals with an emphasis ... Build and maintain data pipelines using SQL, Python, and ETL tools. Support data ingestion ...

Beechcraft Aircraft

Data Engineer-IT

Wichita, KS

$102K - $123K/yr

At Textron Aviation, we are building a community of Data & Analytics professionals with an emphasis ... Build and maintain data pipelines using SQL, Python, and ETL tools. Support data ingestion ...

Textron

Manager, Data Engineering-IT

Wichita, KS · On-site

... Analytics, Engineering, Mathematics, or related field. • Master's degree preferred. • Minimum 7 years of relevant experience • Experience with SQL and Python, plus modern data engineering ...

Propio Language Services

Data Engineer II

Overland Park, KS · On-site

$107K - $129K/yr

This position requires a blend of technical skills, analytical thinking, and the ability to ... Strong programming skills in languages such as Python or Scala. * Experience with big data ...

Propio

Data Engineer II

Overland Park, KS · On-site

$107K - $129K/yr

This position requires a blend of technical skills, analytical thinking, and the ability to ... Strong programming skills in languages such as Python or Scala. * Experience with big data ...

T Mobile US

Business Data Modeler & Strategist

Overland Park, KS · On-site

$51.75 - $67.25/hr

... analysis & research (Required) * Working experience with Python, R, Go or similar statistics or data science language preferred. (Preferred) * Telecommunications (Preferred) * (Micro)Strategy tool ...

New

Danaher

Digital Analyst Internships

Kansas City, KS · On-site

$96K - $113K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Overland Park, KS · On-site

$97K - $115K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Pittsburg, KS · On-site

$75K - $89K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Topeka, KS · On-site

$93K - $110K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Wichita, KS · On-site

$88K - $104K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

Python for data processing, automation, or analytics * Familiarity with .NET-based application environments * Knowledge of AI/ML concepts and model development workflows * Experience with CI/CD ...

FocusKPI

Marketing Operations Analyst

Overland Park, KS · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

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Python Data Analyst information

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
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What job categories do people searching Python Data Analyst jobs in Kansas look for? The top searched job categories for Python Data Analyst jobs in Kansas are:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Kansas as of June 2026, with employment types broken down into 1% Internship, 68% Full Time, 1% Part Time, 27% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
Data Engineer-IT

Data Engineer-IT

Textron

Wichita, KS

$102K - $123K/yr

Full-time

Posted 14 days ago

Textron rating

8.3

Company rating: 8.3 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

27th of 60 rated aerospace companies

Job description

JOB SUMMARY:

Data Engineers design, build, and maintain robust data systems and pipelines that enable high-quality, efficient data delivery for analytics and data science. They are experts in both on-premises and cloud-based data systems, ensuring data is accessible, reliable, and optimized for consumption by analysts and scientists.

The IT Data Engineer will work as part of a skilled and collaborative data engineering team building data pipelines to support strategic initiatives and operational decision-making. The position's primary role is to leverage enterprise data focusing on scalable solutions, data governance, and continuous improvement of data architecture.

At Textron Aviation, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross functional support. You will have the opportunity to work closely with your peers throughout the organization toward a vision of data driven strategy.

JOB RESPONSIBILITIES:

         Build and maintain data pipelines using SQL, Python, and ETL tools.

         Support data ingestion, transformation, and integration from diverse sources.

         Document data flows and contribute to data quality and governance practices.

         Develop foundational understanding of business domains and data requirements.

         Troubleshoot basic data issues and support operational data needs.

EDUCATION/ EXPERIENCE:

         Bachelor's degree required in Computer Science, Information Systems, Engineering, or related technical field/coursework.

         Aviation experience preferred

QUALIFICATONS:

         Strong written and verbal communication skills.

         Practical experience with SQL, Python, and ETL tools.

         Familiarity with data modeling and database design.

         Basic understanding of cloud platforms (Azure, AWS) and on-premises infrastructure.

         Ability to troubleshoot and resolve basic data issues.

         Desire and ability to learn new technologies and tools.
Textron Aviation Inc. must comply with U.S. export control laws and regulations. If a position requires access to sensitive information controlled under these laws and regulations, a successful applicant must be eligible to meet any requirements to access controlled information.

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.

What Textron employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Textron

Sourced by ZipRecruiter

Textron Systems is part of Textron, a $14 billion, multi-industry company employing 35,000 talented makers, thinkers, creators and doers worldwide. We make things that fly, hover, zoom and launch. Things that move people. Protect soldiers. Power industries. We serve customers in industries spanning aerospace and defense, specialized vehicles, turf care and fuel systems.

Industry

Aerospace product and parts manufacturing

Company size

10,000+ Employees

Headquarters location

Providence, RI, US

Year founded

1923

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