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Python Data Analyst Jobs in Kansas (NOW HIRING)

Sporting Kansas City

Data Analyst

Kansas City, KS · On-site

Experience using SQL and Python and/or R for data management and analysis. * Previous experience working with Tableau or other equivalent data visualization software. * Previous experience working ...

WellSky

Data Analyst

Overland Park, KS · On-site

$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:

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 Corporation

Data Analyst

Overland Park, KS · On-site

$70 - $95/hr

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 · 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 ...

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 ...

CBRE

Sr. Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

As a CBRE Data Sr. Analyst, you will perform a variety of analyses to ensure that recommendations ... SQL and Python Some data engineering skills preferred including PySpark for Microsoft Fabric and ...

Advisors Excel

Marketing Data Analyst

Topeka, KS · On-site

Experience with Python or R for data analysis or automation. * Experience working with cloud-based data warehouses or modern data platforms. What you'll get: * Amazing benefits including medical ...

Advisors Excel

Marketing Data Analyst

Topeka, KS

Experience with Python or R for data analysis or automation. * Experience working with cloud-based data warehouses or modern data platforms. What you'll get: * Amazing benefits including medical ...

Sporting Kansas City

Data Scientist

Kansas City, KS · On-site

Robust experience using both SQL and Python for data analysis, modelling and automation. * Strong understanding of statistical modelling, experimental design and model evaluation. * Creative and ...

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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.

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.

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.

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.
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For Python Data Analyst jobs in Kansas, the most frequently searched job titles are:

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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Analyst

Kansas City, KS • On-site

Sporting Kansas City
Spectator Sports • 5 - 10K employees
Learn more about Sporting Kansas Cityexternal

Full-time

Posted 11 days ago

Job description

Job Description Summary
We are seeking an individual with excellent attention to detail to join our team as a Data Analyst. In this role, the successful candidate will focus on delivering key performance and data insights, working closely with coaches, analysts, scouts, physical coaches and other key stakeholders across the First Team to support decision-making.
Sporting Kansas City is an equal opportunity employer. We celebrate diversity and equity and are committed to creating an inclusive environment for all associates. All associates are expected to positively collaborate with individuals of diverse backgrounds. We encourage all talented individuals looking for a challenge to apply.
Job Description
People
  • Provide data and analytical support across the Club to enhance data understanding, adoption and application.
  • Work closely with key soccer stakeholders to translate data into performance strategies.
  • Develop strong relationships with coaches, analysts, scouts, physical performance coaches and other key soccer stakeholders.
  • Present and discuss analytical findings clearly and concisely to multiple stakeholders, including coaches, technical staff, leadership and ownership.

Process
  • Answer performance questions, translating data into simple, actionable recommendations.
  • Support the creation and delivery of pre-match, post-match and opposition profiling reports.
  • Deliver high-quality individual and team-level research projects aimed at improving performance and supporting decision-making.
  • Lead on data visualization projects, supporting the creation and delivery of multiple tools.
  • Develop and maintain player, team and league benchmarking frameworks to support objective decision-making.
  • Support recruitment and squad planning through benchmarking, profiling & market analysis.

Product
  • Query, gather, and manipulate data from multiple sources.
  • Work with event, tracking and physical performance datasets to develop custom metrics.
  • Build decision-support tools and reports to be presented and distributed across the Club.
  • Ensure data best practices across the Club, ensuring alignment with the wider Club data strategy and supporting the continuous development of SKC's reporting ecosystem.

Education & Experience
  • Bachelor's degree in data science or related STEM subject.
  • Experience using SQL and Python and/or R for data management and analysis.
  • Previous experience working with Tableau or other equivalent data visualization software.
  • Previous experience working with data and delivering insights within a pro soccer club.
  • Evidence of excellent communication skills, able to translate data into actionable insights.
  • Creative and curious problem solver with a positive attitude to new challenges.
  • Proactive and eager to learn, able to pick up new skills and work as part of a team.
  • Excellent attention to detail and evidence of working on developing strong analytical skills.

Preferred Experience
  • Strong understanding of technical and tactical aspects of soccer.
  • Evidence of experience working in the MLS.

Physical Requirements
  • Ability to work in office, stadium, and outdoor environments with the ability to travel as required.
  • Ability to occasionally lift up to 25 pounds.
  • Ability to work non-traditional hours including evenings, weekends, and holidays.

Additional Responsibilities
  • Represent Sporting Kansas City professionally at all times.
  • Maintain confidentiality of sensitive information.
  • Comply with Club policies and procedures.
  • Perform other duties as assigned.

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