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Python Data Analysis Jobs in Kansas (NOW HIRING)

WellSky

Data Analyst

Overland Park, KS · On-site

Produce referral pattern, competitive analysis, market/benchmark extracts, and validate outputs ... Scripting experience (e.g., Python) for data transformation and automation. Job Expectations:

WellSky

Data Analyst

Overland Park, KS

$2.5K/yr

Produce referral pattern, competitive analysis, market/benchmark extracts, and validate outputs ... Scripting experience (e.g., Python) for data transformation and automation. Job Expectations:

Scopely

... analysis, data science, or a similar quantitative role * 2+ years' experience using SQL/Python, including complex queries from multiple data sources * 2+ years' experience creating reports using ...

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 ...

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 ...

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 ...

Vytalize Health

Associate Data Engineer

Kansas City, KS

$110K - $132K/yr

Strong SQL proficiency -- ability to write queries to explore, validate, and analyze data * Proficiency in Python or another programming language; comfort writing scripts and automation * Basic ...

TAMKO

Manufacturing Data Scientist

Phillipsburg, KS · On-site

Proficiency in Python and SQL for data analysis, modeling, and machine learning. * Hands-on experience building and validating machine learning models on tabular and time-series data, including ...

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

WHAT YOU'LL DO As a Senior Data Scientist in the Data & Business Intelligence org, you'll be the ... Proficiency in Python, R, Snowflake ML for statistical analysis and model development * Experience ...

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 ...

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How much do python data analysis jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for python data analysis in Kansas is $52.28, according to ZipRecruiter salary data. Most workers in this role earn between $43.08 and $59.38 per hour, depending on experience, location, and employer.

What is a python data analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in Kansas? The most popular types of Python Data Analysis jobs in Kansas are:
What are popular job titles related to Python Data Analysis jobs in Kansas? For Python Data Analysis jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Kansas look for? The top searched job categories for Python Data Analysis jobs in Kansas are:
Python Data Analysis jobs near you
Infographic showing various Python Data Analysis job openings in Kansas as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $108,745 per year, or $52.3 per hour.

Senior Analyst Data Insights

Customer Operations

Overland Park, KS • On-site, Remote

$83K - $105K/yr

Full-time

Re-posted 6 days ago

Job description

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Looking to influence strategic decisions and drive company performance? In this role, you’ll transform raw information into actionable recommendations that drive measurable results. With your expertise in developing innovative analysis methods and leveraging existing data sources, you play a pivotal part in guiding Spectrum’s success through meaningful analytics.

This position is in an office environment with a hybrid work schedule. Eligible employees can work from home up to one day each week.


How You’ll Make an Impact

  • Collaborate with client teams to define precise business requirements for data analysis projects
  • Design metrics, create data visualizations and establish ETL requirements to support strategic objectives
  • Extract, clean and engineer data to prepare for thorough analysis
  • Interpret complex datasets, develop hypotheses and craft analytical approaches to address business needs
  • Utilize advanced visualization tools to deliver customer-readable reports using platforms such as Tableau, PowerBI and Excel
  • Acquire and integrate new reference data sources to meet evolving business requirements
  • Develop and Implement integrations with internal and external systems using REST APIS, Event based systems, and other internal and external systems.
  • Communicate findings and recommendations through compelling presentations and data visualizations
  • Develop impactful analyses and dashboards that are recognized as industry leading
  • Foster strong partnerships with cross functional groups to enhance collaborative outcomes

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in Statistics, Finance, Data Science, Computer Science, Engineering or related field or equivalent experience

Experience

  • 5+ years of experience within a data platform or data analysis environment
  • 5+ years of experience in a customer-facing products or services environment

Skills

  • Proficient at analyzing, interpreting and presenting data
  • Skilled at decision making and problem solving under pressure
  • Effective at prioritizing and organizing tasks
  • Advanced knowledge of analytics processes and reporting design principles
  • Proficient in SQL, Python, and .NET.
  • Skilled in design and implementation of business integrations and with data visualization tools
  • Strong verbal and written communication skills for internal and external customers

#LI-PB2
CDA325 2026-76355 2026
Here, our employees don't just have jobs, they're building careers. That's why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.
A qualified applicant's criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more.

Grow Your Career Here We're committed to growing a workforce that reflects the customers and communities we serve - providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.
Qualifications:

What You’ll Bring to Spectrum

Required Qualifications

Education

  • Bachelor’s degree in Statistics, Finance, Data Science, Computer Science, Engineering or related field or equivalent experience

Experience

  • 5+ years of experience within a data platform or data analysis environment
  • 5+ years of experience in a customer-facing products or services environment

Skills

  • Proficient at analyzing, interpreting and presenting data
  • Skilled at decision making and problem solving under pressure
  • Effective at prioritizing and organizing tasks
  • Advanced knowledge of analytics processes and reporting design principles
  • Proficient in SQL, Python, and .NET.
  • Skilled in design and implementation of business integrations and with data visualization tools
  • Strong verbal and written communication skills for internal and external customers
Employment Type: Full Time

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