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Data Analytics Python Jobs in Kansas (NOW HIRING)

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

$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 ...

Textron

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Build and maintain data pipelines using SQL, Python, and ETL tools. Support data ingestion ... Collaborate with analysts and scientists to understand data requirements and deliver solutions.

Textron

Data Engineer II-IT

Wichita, KS · On-site

$102K - $123K/yr

Build and maintain data pipelines using SQL, Python, and ETL tools. Support data ingestion ... Collaborate with analysts and scientists to understand data requirements and deliver solutions.

Quest Diagnostics

Sr. Data Analyst (Looker)

Lenexa, KS · On-site

$80K - $100K/yr

Support self-service analytics initiatives by enabling business users with accessible and intuitive ... Experience with Python and/or R for data analysis, automation, and statistical modeling.

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All JobsData Analytics Python JobsData Analytics Python Jobs in Kansas

Data Analytics Python information

See Kansas salary details

$23K

$100.4K

$163.8K

How much do data analytics python jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data analytics python in Kansas is $100,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,726.00 and $122,730.00 per year, depending on experience, location, and employer.

What are some typical challenges faced when working as a Data Analytics Python professional, and how can they be addressed?

Data Analytics Python professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and optimizing code for performance. Collaborating with cross-functional teams to understand business requirements and communicating insights clearly can also be demanding. To address these challenges, it's important to stay updated with best practices in data cleaning, leverage efficient libraries like pandas and NumPy, and engage in regular communication with stakeholders to align on project goals. Additionally, participating in code reviews and continuous learning can help maintain high standards and drive professional growth.

What are Data Analytics Python professionals?

Data Analytics Python professionals are specialists who use the Python programming language to analyze, interpret, and visualize data. They apply statistical techniques, build predictive models, and generate insights to help organizations make data-driven decisions. Their work often involves cleaning and preparing data, using libraries like Pandas, NumPy, and Matplotlib, and communicating findings to stakeholders. These professionals are in high demand across industries due to the growing importance of data in business strategy.

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

To thrive as a Data Analytics Python professional, you need a strong background in statistics, data interpretation, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Matplotlib, Jupyter Notebooks, and possibly certifications in data analytics or Python are highly valuable. Critical thinking, problem-solving ability, and effective communication help translate complex data findings into actionable business insights. These skills are essential for extracting meaningful information from data and driving data-informed decisions in organizations.

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

AspectData Analytics PythonData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone specific, often data analysis or business certifications
Work EnvironmentData science teams, tech companies, analytics departmentsBusiness units, finance, marketing, consulting firms
Tools & TechnologiesPython, Jupyter, Pandas, NumPy, visualization librariesExcel, SQL, Tableau, Power BI

Data Analytics Python focuses on using Python programming for data analysis, requiring coding skills and advanced statistical knowledge. In contrast, Data Analysts often work with tools like Excel and SQL for data interpretation and reporting. Both roles are essential in data-driven industries but differ in technical depth and toolsets.

What are popular job titles related to Data Analytics Python jobs in Kansas? For Data Analytics Python jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Analytics Python jobs in Kansas look for? The top searched job categories for Data Analytics Python jobs in Kansas are:
Data Analytics Python jobs near you
Infographic showing various Data Analytics Python job openings in Kansas as of June 2026, with employment types broken down into 2% As Needed, 48% Full Time, 49% Part Time, and 1% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $100,446 per year, or $48.3 per hour.

Senior Tableau / Python Developer

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Topeka, KS • Remote

$115K - $154K/yr

Full-time

Posted 12 days ago

Job description


Role - Senior Tableau / Python Developer
8+ years of exp (Medicaid exp must)
Position Summary
We are seeking a hands-on Senior Dashboard/Report (Tableau / Python Developer) to support the Enterprise Data Warehouse (EDW) and Analytics Program. This role plays a critical part in designing, developing, and maintaining Reports and Dashboards that
support Medicaid analytics, federal reporting, and enterprise decision support.
The ideal candidate brings strong Tableau and Python engineering expertise, experience working with large healthcare datasets, and the ability to operate effectively in a regulated, audit-sensitive environment. This is a delivery-focused role requiring close collaboration with architects, analysts, QA, PMs, SMEs, developers, and reporting BI teams across both
legacy and cloud-based platforms.
Primary Responsibilities
  • Design, develop, and maintain enterprise level Dashboards/Reports using Tableau and Python-based frameworks.
  • Build and optimize scalable data processing solutions using Python.
  • Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care)
  • Write and optimize SQL and stored procedures across relational platforms such as Teradata.
  • Participate in cloud migration and modernization initiatives within Azure-based architectures
  • Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness
  • Follow Reporting and Dashboard best practices for performance, reliability, reusability, and security
  • Support production operations, incident resolution, and root-cause analysis
  • Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub
Required Qualifications
  • 5+ years of Reporting and Dashboard with a focus on enterprise data warehousing
  • 5+ years of hands-on Reports and Dashboard development using Tableau, Business Objects.
  • 5+ years of Python development for data engineering and automation
  • 3+ years of experience with Spark-based processing frameworks (Databricks or equivalent)
  • Strong SQL expertise and experience with relational databases (such as Teradata, Snowflake, Oracle, SQL Server)
  • Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)
  • Bachelors degree or higher in Computer Science, Engineering, Analytics, or a related field
  • Strong analytical, problem-solving, and troubleshooting skills
Preferred Qualifications
  • Experience supporting State Medicaid EDW or MMIS analytics environments
  • Healthcare or public-sector analytics experience (Medicaid / Medicare preferred)
  • Data modeling experience in enterprise data warehouse environments
  • Scripting experience (PowerShell, Bash) for automation and orchestration
  • Experience designing or consuming APIs (REST) within data platforms
  • Familiarity with data quality frameworks, reconciliation, and audit support
  • Azure certifications related to data engineering or analytics
Work Environment s Telecommute Policy
  • This position supports a telecommute-friendly work model and may be performed remotely within the continental United States.
  • Periodic travel may be required based on project or customer needs.

This is a remote position.