1

Data Analyst Python Sql Jobs in Kansas (NOW HIRING)

Write and optimize SQL against large claims datasets in BigQuery; contribute to data pipelines ... Scripting experience (e.g., Python) for data transformation and automation. Job Expectations:

Write and optimize SQL against large claims datasets in BigQuery; contribute to data pipelines ... Scripting experience (e.g., Python) for data transformation and automation. Job Expectations:

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 ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Use AI-enabled tools thoughtfully to accelerate analytical workflows, including data exploration, SQL/Python development, documentation, QA, summarization, and insight generation, while maintaining ...

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 ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

The Data Analyst is responsible for ongoing analysis of finance, client premium and revenue data ... SQL, Microsoft Excel, Microsoft PowerBI and VBA for Excel macros • Use advanced Excel ...

Write SQL queries to extract, join, validate, and analyze marketing data from multiple sources ... Experience with Python or R for data analysis or automation. * Experience working with cloud-based ...

New

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 ... SQL and Python Some data engineering skills preferred including PySpark for Microsoft Fabric and ...

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

Strong working knowledge of SQL and cloud data warehouse environments (BigQuery preferred), with ... Experience automating reporting and data workflows using scripting (Python, Google Apps Script) or ...

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

Strong working knowledge of SQL and cloud data warehouse environments (BigQuery preferred), with ... Experience automating reporting and data workflows using scripting (Python, Google Apps Script) or ...

Digital Analyst Internships

Overland Park, KS · On-site

$97K - $115K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Kansas City, KS · On-site

$96K - $113K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Wichita, KS · On-site

$88K - $104K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Topeka, KS · On-site

$93K - $110K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

$88K - $104K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

next page

Showing results 1-20

Data Analyst Python Sql information

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

Infographic showing various Data Analyst Python Sql job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

$2.5K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


WellSky rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

178th of 242 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


What WellSky employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom