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Python Data Analysis 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

... 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 ...

New

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 ...

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 ...

TAMKO

Manufacturing Data Scientist

Phillipsburg, KS

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 ...

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How much do python data analysis jobs pay per hour?

As of Jul 15, 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 job?

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 the Python Data Analysis position, 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.
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

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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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