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Data Analytics Python Jobs in Kansas (NOW HIRING)

Data Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

Collaborate with data analysts, data scientists, and business stakeholders to understand data ... Proficiency in Python, Scala, or Java for data processing. * Experience working with cloud ...

Data & AI Engineer

Lawrence, KS

$104.50K - $125.50K/yr

... Python, Node.js and SQL . You'll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models ...

Data & AI Engineer

Kansas City, KS

$104.50K - $125.50K/yr

... Python, Node.js and SQL . You'll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models ...

Data & AI Engineer

Kansas City, KS

$110.40K - $132.60K/yr

... Python, Node.js and SQL . Youll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models ...

Design system integrations between factory systems, ERP platforms, and data analytics tools. Write, test, and deploy code using appropriate programming languages (e.g., X++, C#, .NET, Python, SQL ...

Design system integrations between factory systems, ERP platforms, and data analytics tools. Write, test, and deploy code using appropriate programming languages (e.g., X++, C#, .NET, Python, SQL ...

Design system integrations between factory systems, ERP platforms, and data analytics tools. Write, test, and deploy code using appropriate programming languages (e.g., X++, C#, .NET, Python, SQL ...

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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 May 31, 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 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 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 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:
Infographic showing various Data Analytics Python job openings in Kansas as of May 2026, with employment types broken down into 1% Internship, 3% As Needed, 32% Full Time, 50% Part Time, 13% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $100,446 per year, or $48.3 per hour.
Healthcare Data Analyst

$70K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 hours ago


Job description

Healthcare Data Analyst | KC
Join us in shaping a healthier future for kids. At Children’s Hospital Association, we unite more than 200 member hospitals to put children first—advancing care, informing policy, and driving progress together.

Where You’ll Work
This position is based in our Lenexa, KS office. We leverage a hybrid working model working three days in the office, two days optional remote work.
Due to the high volume of applicants, we may not be able to respond to each candidate individually.

What You’ll Do
The Healthcare Data Analyst partners with hospital staff, clinical leaders, operational managers, and internal stakeholders to analyze and interpret complex clinical, operational, and financial data. This role transforms data into actionable insights that drive improvements in patient outcomes, operational efficiency, and financial performance. The ideal candidate brings strong analytical skills, deep understanding of healthcare data, and the ability to communicate insights effectively to both technical and non-technical audiences.
  • Analyze large, complex datasets to uncover trends and insights, connecting changes in operational metrics to broader business performance, and craft compelling narratives that inform stakeholders and drive strategic decision-making
  • Collaborate with SMEs, Member Services, and Data Governance teams to deliver insights across CHA data programs.
  • Design and implement analytical solutions tailored to specific stakeholders’ needs.
  • Validate data presented to hospital members, including metric calculations and report outputs.
  • Support initiatives to document and improve the quality of CHA collected data.
  • Partner with statistics and data governance teams to apply pediatric focused methodologies.
  • Ensure compliance with data governance policies and maintain data integrity, security, and privacy.
  • Assist hospital staff and CHA employees in directly accessing and utilizing CHA data resources.
  • Build custom analytic datasets and cohorts in response to data requests.
  • Provide subject matter expertise to support the creation and maintenance of training materials for direct data access.
  • Support the delivery of training sessions for hospital and CHA staff on accessing and using CHA data.

What You’ll Bring to CHA
Any combination of education and experience providing the required skill and knowledge is qualifying.
  • Bachelor’s degree in computer science, mathematics, statistics or related field.
  • Minimum 3 years’ experience in healthcare data analysis.
  • Understanding of hospital operations, revenue cycle, quality outcomes, or clinical workflows.
  • Experience working with healthcare claims, EHR extracts, clinical registries, or administrative datasets.
  • Knowledge of healthcare terminologies, classification systems, and payment systems (ICD-10-CM, ICD-10-PCS, CPT / HCPCS, ICD-9-CM, APR-DRGs, MS-DRGs, RBRVS, SNOMED CT, LOINC, RXNorm)
  • Knowledge of database concepts
  • Strong SQL skills
  • Proficiency with BI platforms (Power BI, Tableau, Qlik)
  • Experience with analytical tools is preferred (Python, R, SAS, or similar)
  • Familiarity with EHR systems is preferred (Epic, Cerner, Meditech, etc.)
  • Knowledge of value-based care, population health programs, and CMS quality measures is preferred.
  • Strong problem solving and critical thinking abilities.
  • Ability to build relationships with clinicians, administrators, and technical teams.
  • Ability to communicate complex data insights to non-technical stakeholders.
  • Excellent project and time management skills.
Our Perks and Benefits:
  • Competitive total compensation package
  • Medical, dental and vision insurance
  • Retirement Savings program with generous company contribution
  • Hybrid working model
  • Health Savings Account with company contribution
  • Wellness program
  • Paid time off and personal days
  • 9 paid holidays
  • Paid Parental Leave
  • And more!

More About CHA
This pay range shown is a guideline. Min: $70,000 Max: $120,000 Compensation is based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Diversity, Equity and Inclusion
CHA is committed to advancing diversity, equity and inclusion within our organization, our membership, the care delivery of children’s hospitals and their communities and through the federal policymaking environment. With children’s hospitals we strive to ensure organizational cultures where everyone feels valued and actively participates in the mission of our organizations. Racism stands firmly in the way of improving children’s health. We remain vigilant in our quest for a diverse and inclusive community and in standing against racism and discrimination wherever it exists.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, and protected veteran status, or disability status.
Visa sponsorship is not available for this position.