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Senior Data Analyst Jobs in Kansas (NOW HIRING)

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Senior Data Engineer

Olathe, KS · On-site

$100K - $136K/yr

Overview We are seeking a full-time Senior Data Engineer at Garmin's U.S. headquarters in the ... analysis to initiatives * Researches new technologies and proposes cost effective solutions and ...

Scopely is looking for a Data Analyst to join our Marvel Strike Force remotely in the United States or Canada on a remote basis At Scopely, we care deeply about what we do and want to inspire play ...

The Data Analyst Senior will leverage Appian's analytics and reporting capabilities to provide advanced data analysis, visualization, and reporting for the DAMIS program. This role directly supports ...

Sr. Data Engineer

Overland Park, KS · On-site

$113K - $135K/yr

The scope of this job includes collaborating with data scientists, analysts, solutions partners, and other stakeholders to increase data quality, accessibility, and security. Key Responsibilities:

The scope of this job includes collaborating with data scientists, analysts, solutions partners, and other stakeholders to increase data quality, accessibility, and security. Key Responsibilities:

$159K - $285K/yr

The Senior Principal Data Scientist will report to Director of Growth and Data Science in the ... Design and implement predictive models to analyze and anticipate user behavior, intent, and ...

Showing results 21-40

Senior Data Analyst information

See Kansas salary details

$49.1K

$88.5K

$120.8K

How much do senior data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior data analyst in Kansas is $88,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,700.00 and $96,800.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a senior data analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.
More about Senior Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Kansas? The most popular types of Data Analyst jobs in Kansas are:
What cities in Kansas are hiring for Senior Data Analyst jobs? Cities in Kansas with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $88,499 per year, or $42.5 per hour.

Senior Data Platform Engineer

Children's Hospital Association

Lenexa, KS • Hybrid

$96K - $173K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Senior Data Platform Engineer
Hybrid in Lenexa, KS

Join us in shaping a healthier future for kids. At Children’s Hospital Association, we unite more than 200 member hospitals to put children first—advancing care, informing policy, and driving progress together.
Where You’ll Work
This position is based in our Lenexa, KS office. We leverage a hybrid working model working three days in the office, two days optional remote work.
What You’ll Do
The Senior Data Platform Engineer will design, develop, and support cloud-based data solutions within CHA’s Microsoft Azure environment. This hands-on engineering role will focus on building and maintaining scalable data pipelines, data integrations, and data platform capabilities using Microsoft Azure technologies, SQL, and Python. The role will collaborate with business and technical teams to deliver reliable, high-quality data solutions while following modern development best practices.
  • Design, develop, test, deploy, and support scalable data pipelines and cloud-based data solutions using Microsoft Azure technologies.
  • Collaborate with business and technical stakeholders to translate requirements into efficient, reliable, and maintainable data solutions.
  • Build and optimize ETL/ELT pipelines to ingest, transform, and deliver data from a variety of internal and external source systems.
  • Develop reusable frameworks, automation solutions, and data engineering best practices to improve platform efficiency and reliability.
  • Support CI/CD processes and promote DevOps and DataOps practices across the data platform.
  • Drive improvements in platform reliability, scalability, observability, and operational efficiency.
  • Monitor, troubleshoot, and resolve complex data pipeline failures, performance bottlenecks, and data quality issues.
  • Provide technical guidance, support, and recommendations related to Azure data platform, data reliability, consistency, performance, and platform optimization.
  • Create, maintain, and enhance operational documentation, support runbooks, standards, and knowledge-sharing resources.
  • Participate in architecture reviews, code reviews, testing, deployment, and performance tuning activities while mentoring team members and driving continuous improvement of engineering standards, processes, and technical capabilities.
What You’ll Bring to CHA
Any combination of education and experience providing the required skill and knowledge is qualifying.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or STEM related field preferred.
  • 5+ years of experience designing, developing, and supporting enterprise data platforms, cloud data solutions, and large-scale data integration environments.
  • 4+ years of experience building and supporting data pipelines using Microsoft Azure technologies.
  • Experience designing, developing, and optimizing ETL/ELT solutions for analytics, reporting, and operational data workloads.
  • Advanced proficiency in SQL and Python for data engineering, automation, and performance optimization.
  • Experience implementing CI/CD pipelines, source control, automated deployments, and DevOps/DataOps practices.
  • Experience working with real-time and event-driven data processing technologies such as Event Hubs, Kafka, Spark Streaming, or related platforms.
  • Familiarity with healthcare data, FHIR standards, interoperability platforms, or healthcare analytics environments preferred.

Our Perks and Benefits
  • Competitive total compensation package 
  • Medical, dental and vision insurance 
  • Retirement Savings program with generous company contribution 
  • Hybrid working model 
  • Health Savings Account with company contribution 
  • Wellness program 
  • Paid time off and personal days 
  • 9  paid holidays 
  • Paid Parental Leave 
  • And more! 
More About CHA  
This pay range shown is a guideline. Min: $96,000 – $173,000 Compensation is based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.  
Diversity, Equity and Inclusion 
CHA is committed to advancing diversity, equity and inclusion within our organization, our membership, the care delivery of children’s hospitals and their communities and through the federal policymaking environment. With children’s hospitals we strive to ensure organizational cultures where everyone feels valued and actively participates in the mission of our organizations. Racism stands firmly in the way of improving children’s health. We remain vigilant in our quest for a diverse and inclusive community and in standing against racism and discrimination wherever it exists. 
Equal Opportunity Employer 
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, and protected veteran status, or disability status. 
Visa sponsorship is not available for this position.