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Python Data Analyst Jobs in Kansas (NOW HIRING)

Demonstrated experience with SQL, Python, and/or R for data extraction, manipulation, analysis, and automation * Proven ability to develop data visualizations and dashboards (PowerBI and Qlik ...

Demonstrated experience with SQL, Python, and/or R for data extraction, manipulation, analysis, and automation * Proven ability to develop data visualizations and dashboards (PowerBI and Qlik ...

Utilize Python or other approved languages for data analysis and visualization to support machine learning. * Effective project management of more complex tools designs, encompassing regular user ...

Data Analysts support the development and optimization of strategic initiatives by generating ... Python, and other programming languages Develop technical as well as process-based solutions ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

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 Engineer II

Overland Park, KS · On-site

$107.80K - $129.40K/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 ...

Data Engineer II

Overland Park, KS · On-site

$107.80K - $129.40K/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 ...

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Python Data Analyst information

See Kansas salary details

$30.3K

$73.7K

$121.3K

How much do python data analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for python data analyst in Kansas is $73,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $86,500.00 per year, depending on experience, location, and employer.

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.

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:
Infographic showing various Python Data Analyst job openings in Kansas as of May 2026, with employment types broken down into 5% As Needed, 68% Full Time, 17% Part Time, 3% Temporary, 5% Contract, and 2% Nights. Highlights an 69% Physical, 17% Hybrid, and 14% Remote job distribution, with an average salary of $73,702 per year, or $35.4 per hour.
Data Analyst

Data Analyst

Chubb

Overland Park, KS • On-site

Full-time

Posted 2 days ago


Chubb rating

8.1

Company rating: 8.1 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

131st of 259 rated insurance


Job description

Job Description
As a Data Analyst on our Strategic Outcomes and Data Analytics team, you'll be immersed in a collaborative, fast-paced, and dynamic environment where your ability to stay thoughtful, focused, balanced, and efficient is essential to success. You'll tackle projects that span a wide range of sizes, scopes, complexities, and stakeholder needs-requiring you to adapt quickly and think strategically. By leveraging your advanced analytics and SQL expertise, you'll transform data into actionable insights that fuel business growth and elevate the experience for our existing customers. Here, you'll have the opportunity to continuously expand your skills, collaborate with cross-functional teams, and advance your career within a matrixed organization-applying your technical strengths to solve complex business challenges and deliver meaningful impact.
In this role, you will:
  • Extract data and perform comprehensive analysis using foundational and advanced analytic techniques
  • Design, develop, and deliver impactful data visualizations to effectively communicate insights to diverse audiences, including cross-functional teams and leadership
  • Partner with stakeholders to translate business requirements into innovative technical solutions and actionable data strategies; act as the primary contact for code development and execution
  • Implement a results-driven, analytical approach to problem-solving -deconstructing complex objectives into clear, actionable steps
  • Facilitate the configuration and deployment of advanced analytics software (machine learning, artificial intelligence) to address real-world business challenges
  • Document methodologies, findings, and recommendations in clear, concise reports and presentations

Qualifications
  • Bachelor's degree in Information Systems, Statistics, Data Science, or related fields
  • Minimum of 3 years' experience in business or data analysis roles; experience in product management or business strategy preferred
  • Advanced proficiency in Microsoft Excel (data modeling, complex transformations, pivot tables, advanced charting)
  • Demonstrated experience with SQL, Python, and/or R for data extraction, manipulation, analysis, and automation
  • Proven ability to develop data visualizations and dashboards (PowerBI and Qlik experience preferred)
  • Strong communication and data presentation skills, with the ability to convey technical concepts and drive a narrative with data to diverse audiences
  • Experience applying data science techniques (predictive modeling, machine learning) and deploying advanced analytics solutions (including artificial intelligence); background in claims, risk management, insurance, or related industries preferred

About Us
Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.
At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

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About Chubb

Sourced by ZipRecruiter

Chubb is the world's largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. We are a unique global organization with a culture of individuals passionately committed to our respective crafts. With underwriting at our core, each of us contributes to providing the best insurance coverage and service to our clients. Our highly collaborative, inclusive nature helps us drive better business outcomes through diversity of background, experiences, insights and values.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Warren, NJ, US