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Data Analyst Jobs in Kansas (NOW HIRING)

The Data Analyst is responsible for ongoing analysis of finance, client premium and revenue data, obtained from a variety of different sources. It involves development and preparation of information ...

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 ...

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 ...

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

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 ...

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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Showing results 1-20

Data Analyst information

See Kansas salary details

$30.3K

$73.7K

$121.3K

How much do data analyst jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data analyst in Kansas is $73,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $86,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
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 are popular job titles related to Data Analyst jobs in Kansas? For Data Analyst jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Data Analyst jobs? Cities in Kansas with the most Data Analyst job openings:
Data Analyst

Data Analyst

Lockton, Inc.

Overland Park, KS • On-site

Full-time

Re-posted 16 days ago


Lockton rating

9.1

Company rating: 9.1 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

23rd of 281 rated insurance


Job description

Job Summary:
The Data Analyst is responsible for ongoing analysis of finance, client premium and revenue data, obtained from a variety of different sources. It involves development and preparation of information, reconciliations and reports for management, Associates, and other custom-built applications.
Essential Duties:
• Subject matter expert for finance, client premium and revenue data
• Generate standard and ad hoc reports on a regular basis
• Create Excel based data analysis tools to identify variances with macros
• The data analyst must be able to recognize data issues and work with providers of data to resolve problems
• Provides consulting, training, reporting and primary technical support as need for data intensive projects throughout the project lifecycle including post go-live
• Responsible for monitoring progress and maintaining responsibility for delivering project deliverables accurately and on time
• Ad hoc technical analysis of jobs, queries, reports, & other items across ERPs & Systems
Other Responsibilities:
• Makes decisions in compliance with established corporate and department standards
• Provides exceptional customer service and adheres to the Lockton philosophie
Requirements:
• BS/BA degree required
• At least 3 years of experience in data analysis in the insurance industry or related field
• At least 3 years of experience in working with project teams in an information technology environment
• Proficiency with Microsoft SQL, Microsoft Excel, Microsoft PowerBI and VBA for Excel macros
• Use advanced Excel capabilities, including pivot tables, lookups, complex formulas and graphing
• Familiarity with PeopleSoft query and nVision or Oracle Fusion and OTBI a plus
• Ability to express complex technical concepts effectively, both verbally and written
• Ability to work well with & and describe tasks to non-technical users
• Demonstrated ability to analyze data in a variety of formats and to provide recommendations and support in establishing strategic plans for undertaking data conversions
• Demonstrated effectiveness in working with multi-functional teams in a technical production environment
• Demonstrated ability to respond to customer requirements with timely and effective technical solutions
• Ability to synthesize data from multiple sources
• Superior attention to detail
• Ability to multitask without sacrificing the quality and accuracy of project deliverables
• Some overtime, off-shift support and travel may be required
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