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Python Data Analyst Jobs in Kansas (NOW HIRING)

WellSky

Data Analyst

Overland Park, KS · On-site

The Data Analyst for Value-Based Insights (VBI) is responsible for transforming Medicare (CMS ... Scripting experience (e.g., Python) for data transformation and automation. Job Expectations:

WellSky

Data Analyst

Overland Park, KS

$2.5K/yr

The Data Analyst for Value-Based Insights (VBI) is responsible for transforming Medicare (CMS ... Scripting experience (e.g., Python) for data transformation and automation. Job Expectations:

Scopely

Use AI-enabled tools thoughtfully to accelerate analytical workflows, including data exploration, SQL/Python development, documentation, QA, summarization, and insight generation, while maintaining ...

DPDHL

Business Data Analyst II

Wichita, KS

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

DHL

Business Data Analyst II

Wichita, KS · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Data Scientist REPORTS TO : Director of Analytics WHO WE ARE: WHO WE ARE: Nuvative is a parent ... Python languages to the design, development, and maintenance of ongoing metrics, reports, analyses ...

SCOR

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

... Python , Azure Databricks , and SQL , integrating data across platforms including Microsoft SQL Server and PostgreSQL . You will partner with analysts, data consumers, and engineering teams to ...

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

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

Topeka, KS

$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

Overland Park, KS

$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 ...

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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.

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 good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

What are 10 careers related to Python Data Analyst?

Careers related to a Python Data Analyst include Data Scientist, Business Intelligence Analyst, Data Engineer, Data Architect, Quantitative Analyst, Machine Learning Engineer, Data Consultant, Data Operations Manager, Data Warehouse Developer, and Research Analyst. These roles often require skills in programming, data visualization, and statistical analysis, and may involve working with tools like SQL, Tableau, or cloud platforms.

What is the salary of a Python Data Analyst?

The salary of a Python Data Analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in Python, data visualization, and statistical analysis tend to earn higher salaries, especially in tech hubs or large organizations.
More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in Kansas? The most popular types of Python Data Analyst jobs in Kansas are:
What are popular job titles related to Python Data Analyst jobs in Kansas? For Python Data Analyst jobs in Kansas, the most frequently searched job titles are:
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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 88% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Data Analyst

WellSky

Overland Park, KS • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

WellSky rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

177th of 242 rated software companies

Job description

The Data Analyst for Value-Based Insights (VBI) is responsible for transforming Medicare (CMS) claims data into metrics, benchmarks, and measures that power WellSky's VBI product for Home Health and Hospice providers and payers. This role builds and maintains claims-based data extracts and performance measures, translates CMS methodologies and regulatory rules into production analytics, and partners with product and engineering to deliver trusted, data-driven insights. The work is retrospective, methodology-driven, and directly tied to how agencies measure and improve value-based performance.
Key Responsibilities:
  • Build and maintain claims-based data extracts and measures from CMS data sources, including the Chronic Conditions Warehouse (CCW) and Limited Data Set (LDS), to support VBI Home Health and Hospice solutions.
  • Develop and maintain performance measures such as HHVBP claims-based measures, MSPB-PAC, Functional Items, hospitalization/ER/PPH/DTC rates, utilization and efficiency metrics, length of stay, and composite/percentile scores.
  • Interpret CMS regulations and annual Final Rules (e.g., HHVBP methodology, eTPS calculations) and translate measure specifications into accurate, reproducible SQL logic.
  • Write and optimize SQL against large claims datasets in BigQuery; contribute to data pipelines, quarterly lookup-table refreshes, and extract automation.
  • Produce referral pattern, competitive analysis, market/benchmark extracts, and validate outputs against CMS public benchmarks (e.g., Home Health Compare) and client expectations.
  • Investigate data quality issues and metric discrepancies, and document methodology, data sources, and assumptions so results are auditable and repeatable.
  • Prepare data for downstream BI/visualization layers (e.g., Sisense) and collaborate with product managers and engineers to define technical requirements and analytical interpretations.
  • Perform other job duties as assigned.

Required Qualifications:
  • Bachelor's degree in quantitative, health-informatics, or related field, or equivalent work experience.
  • 2-4 years of experience in data analysis, with demonstrated proficiency in SQL against large, complex datasets.
  • Direct experience working with Medicare/CMS claims data (e.g., CCW, LDS, LDS/RIF files, or comparable claims sources).
  • Comfort with healthcare claims coding structures (e.g., ICD, HCPCS/CPT, revenue codes, DRGs).
  • Ability to translate written specifications or methodologies into analytical logic and validate results for accuracy.

Preferred Qualifications:
  • Knowledge of Home Health and/or Hospice operations, post-acute care, or value-based care programs (e.g., HHVBP, HHVBP eTPS, hospice HIS/HOPE).
  • Experience with CMS quality/value-based program methodologies and familiarity with reading CMS regulations/Final Rules.
  • Hands-on experience with BigQuery (or a comparable cloud data warehouse such as Snowflake) and a BI tool such as Sisense, Tableau, or Power BI.
  • Familiarity with risk adjustment or benchmarking concepts.
  • Scripting experience (e.g., Python) for data transformation and automation.

Job Expectations:
  • Willing to work additional or irregular hours as needed, particularly around quarterly CMS data refreshes and annual Final Rule cycles.
  • Must work in accordance with applicable security and HIPAA policies to safeguard company and client protected health information.
  • Must be able to sit and view a computer screen for extended periods of time.

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WellSky is where independent thinking and collaboration come together to create an authentic culture. We thrive on innovation, inclusiveness, and cohesive perspectives. At WellSky you can make a difference.
WellSky provides equal employment opportunities to all people without regard to race, color, national origin, ancestry, citizenship, age, religion, gender, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, physical or mental disability, protected medical condition, genetic information, military service, veteran status, or any other status or characteristic protected by law. WellSky is proud to be a drug-free workplace.
Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates.
Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:
  • Excellent medical with Rx, dental, and vision benefits
  • Mental Health support through EAP
  • Generous paid time off, plus 13 paid holidays
  • 100% vested 401(K) retirement plans
  • Educational assistance up to $2500 per year

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