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Data Analyst Jobs in Kansas (NOW HIRING)

The Data Analyst for Value-Based Insights (VBI) is responsible for transforming Medicare (CMS) claims data into metrics, benchmarks, and measures that power WellSky's VBI product for Home Health and ...

The Data Analyst for Value-Based Insights (VBI) is responsible for transforming Medicare (CMS) claims data into metrics, benchmarks, and measures that power WellSky's VBI product for Home Health and ...

Provide data and analytical support across the Club to enhance data understanding, adoption and application. * Work closely with key soccer stakeholders to translate data into performance strategies.

Data Analyst

Overland Park, KS · On-site

$70 - $95/hr

Data Analyst** for **Value-Based Insights** (VBI) is responsible for transforming Medicare (CMS) claims data into metrics, benchmarks, and measures that power WellSky's VBI product for Home Health ...

Senior Data Analyst

Overland Park, KS · On-site

$90 - $130/hr

Senior Data Analyst - Overland Park, KS (MMGY Global) As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience ...

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

$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 ...

Sr. Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

As a CBRE Data Sr. Analyst, you will perform a variety of analyses to ensure that recommendations and business conclusions are backed by sound data findings and thorough data research. This job is ...

As the Master Data Analyst , you will be part of a centralized team responsible for a broad range of data governance activities related to Material Master, Business Partner, Bill of Materials, Master ...

The Analyst works with moderate independence and is responsible for transforming raw data into actionable insights, maintaining recurring reports, and contributing to data-driven decision-making.

The Analyst works with moderate independence and is responsible for transforming raw data into actionable insights, maintaining recurring reports, and contributing to data-driven decision-making.

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 ...

Marketing Data Analyst Department: AE Media Reporting to: Lead Strategic Marketing and Performance Coach Location: Topeka, KS - Onsite Overview: Turn complex data into clear insights that help ...

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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 Aug 26, 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 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.

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 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.

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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. 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:

Infographic showing various Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 100% In-person job distribution, with an average salary of $73,702 per year, or $35.4 per hour.

Data Analyst

WellSky

Overland Park, KS • On-site

$2.5K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


WellSky rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

181st of 246 rated software companies


Job description

The Data Analyst for Value-Based Insights (VBI) is responsible for transforming Medicare (CMS) claims data into metrics, benchmarks, and measures that power WellSky's VBI product for Home Health and Hospice providers and payers. This role builds and maintains claims-based data extracts and performance measures, translates CMS methodologies and regulatory rules into production analytics, and partners with product and engineering to deliver trusted, data-driven insights. The work is retrospective, methodology-driven, and directly tied to how agencies measure and improve value-based performance.

Key Responsibilities:

  • Build and maintain claims-based data extracts and measures from CMS data sources, including the Chronic Conditions Warehouse (CCW) and Limited Data Set (LDS), to support VBI Home Health and Hospice solutions.
  • Develop and maintain performance measures such as HHVBP claims-based measures, MSPB-PAC, Functional Items, hospitalization/ER/PPH/DTC rates, utilization and efficiency metrics, length of stay, and composite/percentile scores.
  • Interpret CMS regulations and annual Final Rules (e.g., HHVBP methodology, eTPS calculations) and translate measure specifications into accurate, reproducible SQL logic.
  • Write and optimize SQL against large claims datasets in BigQuery; contribute to data pipelines, quarterly lookup-table refreshes, and extract automation.
  • Produce referral pattern, competitive analysis, market/benchmark extracts, and validate outputs against CMS public benchmarks (e.g., Home Health Compare) and client expectations.
  • Investigate data quality issues and metric discrepancies, and document methodology, data sources, and assumptions so results are auditable and repeatable.
  • Prepare data for downstream BI/visualization layers (e.g., Sisense) and collaborate with product managers and engineers to define technical requirements and analytical interpretations.
  • Perform other job duties as assigned.

Required Qualifications:

  • Bachelor's degree in quantitative, health-informatics, or related field, or equivalent work experience.
  • 2-4 years of experience in data analysis, with demonstrated proficiency in SQL against large, complex datasets.
  • Direct experience working with Medicare/CMS claims data (e.g., CCW, LDS, LDS/RIF files, or comparable claims sources).
  • Comfort with healthcare claims coding structures (e.g., ICD, HCPCS/CPT, revenue codes, DRGs).
  • Ability to translate written specifications or methodologies into analytical logic and validate results for accuracy.

Preferred Qualifications:

  • Knowledge of Home Health and/or Hospice operations, post-acute care, or value-based care programs (e.g., HHVBP, HHVBP eTPS, hospice HIS/HOPE).
  • Experience with CMS quality/value-based program methodologies and familiarity with reading CMS regulations/Final Rules.
  • Hands-on experience with BigQuery (or a comparable cloud data warehouse such as Snowflake) and a BI tool such as Sisense, Tableau, or Power BI.
  • Familiarity with risk adjustment or benchmarking concepts.
  • Scripting experience (e.g., Python) for data transformation and automation.

Job Expectations:

  • Willing to work additional or irregular hours as needed, particularly around quarterly CMS data refreshes and annual Final Rule cycles.
  • Must work in accordance with applicable security and HIPAA policies to safeguard company and client protected health information.
  • Must be able to sit and view a computer screen for extended periods of time.

#LI-TC1

#LI-Onsite

WellSky is where independent thinking and collaboration come together to create an authentic culture. We thrive on innovation, inclusiveness, and cohesive perspectives. At WellSky you can make a difference.

WellSky provides equal employment opportunities to all people without regard to race, color, national origin, ancestry, citizenship, age, religion, gender, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, physical or mental disability, protected medical condition, genetic information, military service, veteran status, or any other status or characteristic protected by law. WellSky is proud to be a drug-free workplace.

Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates.

Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:

  • Excellent medical with Rx, dental, and vision benefits

  • Mental Health support through EAP

  • Generous paid time off, plus 13 paid holidays

  • 100% vested 401(K) retirement plans

  • Educational assistance up to $2500 per year


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