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Python Data Analyst Jobs in Kansas (NOW HIRING)

Chubb

Data Analyst

Overland Park, KS · On-site

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 ...

Scopely

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

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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 ...

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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 ...

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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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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 a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
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

Data Analyst

Chubb

Overland Park, KS • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Chubb rating

8.2

Company rating: 8.2 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

123rd of 281 rated insurance

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
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.
  • 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

What Chubb employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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