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Python Data Analysis Jobs in Kansas (NOW HIRING)

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 ...

Data Engineer II

Overland Park, KS

$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 ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Digital Analyst Internships

Kansas City, KS

$96.20K - $113.80K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Pittsburg, KS

$75.50K - $89.40K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Overland Park, KS

$97.40K - $115.20K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Wichita, KS

$88.10K - $104.20K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Topeka, KS

$93.30K - $110.40K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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Python Data Analysis information

See Kansas salary details

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$52

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How much do python data analysis jobs pay per hour?

As of May 30, 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:
Infographic showing various Python Data Analysis job openings in Kansas as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $108,745 per year, or $52.3 per hour.
Data Engineer

$111.40K - $133.80K/yr

Full-time

Posted 14 hours ago


Job description

Title: Data Engineer
Location: Leawood, KS (Hybrid)
Job Type: Contract
Job Description:-
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure that support analytics and business intelligence initiatives. The ideal candidate will have strong experience with data integration, ETL processes, data modeling, and cloud-based data platforms, enabling reliable data flow across systems.
Key Responsibilities
  • Design, develop, and maintain data pipelines and ETL processes to ingest, transform, and load data from various sources.
  • Build and optimize data architectures and data models to support analytics and reporting needs.
  • Work with large datasets to ensure data quality, integrity, and performance optimization.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions.
  • Implement data validation, monitoring, and error-handling mechanisms to ensure reliable data processing.
  • Develop and maintain data warehouses and data lakes for efficient data storage and retrieval.
  • Optimize SQL queries and improve performance of existing data pipelines.
  • Support data governance, security, and compliance standards.
  • Document data workflows, architecture, and processes.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • X-X years of experience as a Data Engineer or similar role.
  • Strong experience with SQL and database technologies (SQL Server, PostgreSQL, Oracle, etc.).
  • Hands-on experience with ETL tools or frameworks such as Informatica, Talend, SSIS, or Apache Airflow.
  • Proficiency in Python, Scala, or Java for data processing.
  • Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
  • Strong understanding of data warehousing concepts and dimensional modeling.
  • Experience working with big data technologies like Spark, Hadoop, or Kafka.
  • Familiarity with CI/CD pipelines and DevOps practices.

Preferred Qualifications
  • Experience with Snowflake, Databricks, or Redshift.
  • Knowledge of data lake architectures and streaming data pipelines.
  • Experience with containerization tools such as Docker or Kubernetes.
  • Exposure to BI tools like Tableau, Power BI, or Looker.