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Data Analyst Data Science Jobs in Kansas (NOW HIRING)

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 ...

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 ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

To continue our growth path, we need a Remote Data Analyst to leverage analytics technology to create, update, and analyze reports for various business units and processes. As a part of the Product ...

To continue our growth path, we need a Remote Data Analyst to leverage analytics technology to create, update, and analyze reports for various business units and processes. As a part of the Product ...

Data Analyst

Overland Park, KS · On-site

$68K - $122K/yr

It involves analyzing and interpreting complex data sets to identify trends and inform business strategies. The role requires collaboration with various stakeholders to define data elements, capture ...

Bachelor's degree required in MIS, Computer Science, Data Analytics, Business Administration, Engineering, Mathematics, Economics, Statistics, or related technical field/coursework * Master's degree ...

Bachelor's degree required in MIS, Computer Science, Data Analytics, Business Administration, Engineering, Mathematics, Economics, Statistics, or related technical field/coursework * Master's degree ...

Stay up to date with the latest trends and technologies in data science and machine learning ... Analytical/ Decision Making Responsibilities * Analytical ability to manage multiple projects and ...

Bachelor's degree required in MIS, Computer Science, Data Analytics, Business Administration, Engineering, Mathematics, Economics, Statistics, or related technical field/coursework Master's degree ...

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 within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 ...

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 within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New York is 62,354 ...

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Data Analyst Data Science information

See Kansas salary details

$12

$34

$58

How much do data analyst data science jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for data analyst data science in Kansas is $34.20, according to ZipRecruiter salary data. Most workers in this role earn between $24.66 and $41.44 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What are popular job titles related to Data Analyst Data Science jobs in Kansas? For Data Analyst Data Science jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Data Analyst Data Science jobs? Cities in Kansas with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science job openings in Kansas as of June 2026, with employment types broken down into 1% As Needed, 70% Full Time, 22% Part Time, and 7% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $71,131 per year, or $34.2 per hour.
Data Analyst

Data Analyst

Chubb

Overland Park, KS • On-site

Full-time

Posted 25 days ago


Chubb rating

8.1

Company rating: 8.1 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

132nd of 261 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.

What Chubb employees say

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Benefits

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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