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Data Analytics Python Jobs in Kansas (NOW HIRING)

Data Engineer

Arkansas City, KS · On-site

$94K - $114K/yr

Responsible for analyzing and preparing the data needed for data science based outcomes. Also ... Hands-on experience in programming languages like Java, Python or Scala Hands-on experience in ...

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

In this role, you will be responsible for analyzing complex data sets, developing machine learning ... Experience using systems such as SQL, Python, or R * Strong knowledge of machine learning ...

Data Engineer

Kansas City, KS

$110K - $132K/yr

Experience with modern, Python-based data orchestration tools like Dagster, Prefect or Airflow * Experience building solutions for analytical reporting and business intelligence * Experience with a ...

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

Develops data transformations and curated datasets using SQL, T-SQL, dbt, Python, and PySpark to support reporting, analytics, data science, and AI / machine learning use cases. * Creates and ...

Build and maintain Python backend services supporting operational AI and data workflows. * Design ... Troubleshoot system issues and contribute to root‑cause analysis. * Work with relational and ...

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 ...

Experience with modern, Python-based data orchestration tools like Dagster, Prefect or Airflow * Experience building solutions for analytical reporting and business intelligence * Experience with a ...

$125K - $165K/yr

Support Product and Data Analytics teams with curated datasets and high-performance query patterns ... Python and SQL, and modern data engineering frameworks. Deep experience with AWS data services ...

$125K - $165K/yr

Support Product and Data Analytics teams with curated datasets and high-performance query patterns ... Python and SQL, and modern data engineering frameworks. Deep experience with AWS data services ...

Showing results 41-60

Data Analytics Python information

See Kansas salary details

$23K

$100.4K

$163.8K

How much do data analytics python jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data analytics python in Kansas is $100,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,726.00 and $122,730.00 per year, depending on experience, location, and employer.

What is a data analytics Python professional?

Data Analytics Python professionals are specialists who use the Python programming language to analyze, interpret, and visualize data. They apply statistical techniques, build predictive models, and generate insights to help organizations make data-driven decisions. Their work often involves cleaning and preparing data, using libraries like Pandas, NumPy, and Matplotlib, and communicating findings to stakeholders. These professionals are in high demand across industries due to the growing importance of data in business strategy.

What are the key skills and qualifications needed to thrive as a data analytics Python professional?

To thrive as a Data Analytics Python professional, you need a strong background in statistics, data interpretation, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Matplotlib, Jupyter Notebooks, and possibly certifications in data analytics or Python are highly valuable. Critical thinking, problem-solving ability, and effective communication help translate complex data findings into actionable business insights. These skills are essential for extracting meaningful information from data and driving data-informed decisions in organizations.

What are some typical challenges faced when working as a data analytics Python professional, and how can they be addressed?

Data Analytics Python professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and optimizing code for performance. Collaborating with cross-functional teams to understand business requirements and communicating insights clearly can also be demanding. To address these challenges, it's important to stay updated with best practices in data cleaning, leverage efficient libraries like pandas and NumPy, and engage in regular communication with stakeholders to align on project goals. Additionally, participating in code reviews and continuous learning can help maintain high standards and drive professional growth.

What is the difference between Data Analytics Python vs Data Analyst?

AspectData Analytics PythonData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone specific, often data analysis or business certifications
Work EnvironmentData science teams, tech companies, analytics departmentsBusiness units, finance, marketing, consulting firms
Tools & TechnologiesPython, Jupyter, Pandas, NumPy, visualization librariesExcel, SQL, Tableau, Power BI

Data Analytics Python focuses on using Python programming for data analysis, requiring coding skills and advanced statistical knowledge. In contrast, Data Analysts often work with tools like Excel and SQL for data interpretation and reporting. Both roles are essential in data-driven industries but differ in technical depth and toolsets.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

What is the salary of data analytics Python?

The salary for a Data Analytics Python role typically ranges from $60,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in Python, data visualization, and machine learning tools tend to earn higher salaries.

What are popular job titles related to Data Analytics Python jobs in Kansas?

For Data Analytics Python jobs in Kansas, the most frequently searched job titles are:

Infographic showing various Data Analytics Python job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $100,446 per year, or $48.3 per hour.

Quality Analytics Solutions Developer / Power BI Engineer

Kiewit

Lenexa, KS • On-site

$110 - $140/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Kiewit Corporation rating

7.7

Company rating: 7.7 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

24th of 80 rated construction


Job description

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Quality Analytics Solutions Developer / Power BI Engineer

Location:

Lenexa, KS, US Houston, TX, US

Requisition ID:181704

Job Level:Mid Level

Home District/Group:Kiewit Quality

Department:Quality

Market:Corporate Home Office

Employment Type:Full Time

Position Overview

The Quality Analytics Solutions Developer partners with Quality, Technology, and business leaders to transform complex operational data into actionable insights that improve project performance and decision-making. This role develops dashboards, reporting solutions, and analytical tools while integrating data from multiple enterprise systems to create scalable, governed, and reliable analytics that support field teams, district leadership, and corporate stakeholders. Success in this role requires balancing technical expertise with a strong understanding of business processes, helping modernize Quality reporting from manual, fragmented data into a connected enterprise analytics environment.

District Overview

Kiewit’s Quality Group is a shared service that maintains and executes quality standards on projects across the company. Our principal quality objectives are to meet or exceed clients’ expectations and to eliminate rework by performing our work “right the first time.” We monitor our performance against these objectives and require continual improvement.

Location

Preferably this person will be located and work out of the Lenexa, KS or Houston, TX offices. Remote work may be considered.

Responsibilities
  • Design, develop, and maintain dashboards, reports, and analytical solutions that provide meaningful insights into Quality performance across projects, districts, and business units.
  • Retrieve, integrate, validate, and transform data from Snowflake and other enterprise systems to support reporting, analytics, and decision-making.
  • Develop scalable Power BI reports, semantic models, reusable datasets, measures, and visualizations while leveraging the most appropriate technology for each business need.
  • Build analytical solutions using tools such as SQL, Excel, Power Platform, Microsoft Fabric, SharePoint, Dataverse, Python, and other enterprise technologies.
  • Partner with Quality leaders and project teams to understand business processes and translate operational needs into reporting requirements, KPIs, dashboards, and workflow improvements.
  • Identify inconsistencies in source data, reporting definitions, and business processes while developing standardized, governed solutions that improve data quality and reporting accuracy.
  • Validate reporting outputs against source systems and troubleshoot discrepancies to ensure the integrity and reliability of analytics.
  • Support data governance initiatives by documenting definitions, maintaining reporting standards, and promoting consistent metrics across the organization.
  • Develop dashboards and analytical products that highlight trends, risks, leading indicators, and actionable insights rather than simply reporting historical data.
  • Manage reporting environments, including security, access controls, refresh schedules, testing, deployment, and ongoing support.
  • Collaborate with Technology, Data Architecture, and business stakeholders to continuously improve Quality analytics capabilities and reporting solutions.
  • Independently manage multiple priorities while delivering practical, scalable solutions in a fast-paced environment.
QualificationsRequired Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Business Analytics, or a related field, or equivalent professional experience.
  • 5+ years of experience developing business intelligence solutions, dashboards, reports, and enterprise analytics.
  • Advanced SQL experience, including querying, joining, transforming, and validating data within Snowflake or similar cloud-based data platforms.
  • Experience developing Power BI dashboards, semantic models, DAX measures, Power Query transformations, and reusable datasets.
  • Strong understanding of data modeling principles and business intelligence best practices.
  • Advanced Microsoft Excel skills, including Power Query, PivotTables, structured tables, analytical models, and complex formulas.
  • Experience integrating data from multiple enterprise systems, databases, APIs, spreadsheets, SharePoint, and other business applications.
  • Experience with Microsoft Power Platform, including Power Apps and Power Automate.
  • Ability to translate business requirements into scalable reporting and analytical solutions.
  • Strong communication and collaboration skills with both technical and non-technical stakeholders.
  • Demonstrated ability to manage multiple projects and deliver high-quality solutions independently.
Preferred Qualifications
  • Experience with Microsoft Fabric, Azure data services, Dataverse, or similar enterprise data platforms.
  • Experience using Python, R, notebooks, or other analytical programming languages.
  • Understanding of data governance, reporting standards, metadata management, and enterprise data quality practices.
  • Experience developing enterprise dashboards that communicate trends, operational risk, performance metrics, and actionable insights.
  • Background supporting construction, engineering, project execution, quality management, inspections, nonconformance reporting, or operational risk.
  • Experience working with data across multiple business systems where processes, definitions, and data quality vary.

Other Requirements:

  • Work productively and meet deadlines timely
  • Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
  • Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
  • Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
  • May work at various different locations and conditions may vary.

We offer our fulltime staff employees a comprehensive benefits package that’s among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.

There’s no limit to what you’ll do at Kiewit. Whether you’re building or supporting projects that provide communities with dependable energy, safe transportation, clean water, or access to health care, the work you do will positively impact people’s lives for generations to come.

Here you’ll have endless opportunities to expand your expertise through on-the-job experience and internal and external training and development opportunities.

We offer our full-time staff employees a comprehensive benefits package that’s among the best in our industry.From top-tier health care programs to employee assistance programs and retirement planning, we aim to provide you with the tools you need to be successful in the areas of life that matter most to you.

Kiewit is an equal-opportunity employer, and we believe a diverse workforce is vital to the success of our business. We continue our efforts to attract, develop and retain employees from all backgrounds who are passionate about our industry.

We are committed to veteran and military hiring and will consider relevant military experience as equivalent to qualification requirements.

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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884