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Sas Programmer Jobs in Kansas (NOW HIRING)

Midwest Energy, Inc.

Rates and Data Analyst

Hays, KS · On-site

Manage the renewable generation interconnection program, guiding customers and vendors through the process, and coordinating with the engineering department for final approval. Utility Data Analytics

New

Sporting Kansas City

Data Scientist

Kansas City, KS · On-site

Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by reliable data and production-ready workflows. * Collaborate closely with the First Team Data Analyst ...

NovationIQ

Data Scientist

Kansas City, KS · On-site

$110 - $160/hr

Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by reliable data and production-ready workflows. Collaborate closely with the First Team Data Analyst ...

WellSky Corporation

Data Analyst

Overland Park, KS · On-site

$70 - $95/hr

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 ...

WellSky

Data Analyst

Overland Park, KS

$2.5K/yr

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 ...

WellSky

Data Analyst

Overland Park, KS · On-site

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 ...

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$13

$43

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How much do sas programmer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for sas programmer in Kansas is $43.70, according to ZipRecruiter salary data. Most workers in this role earn between $30.67 and $54.90 per hour, depending on experience, location, and employer.

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

To thrive as a SAS Programmer, you need strong analytical skills, proficiency in SAS programming languages, and typically a degree in computer science, statistics, or a related field. Familiarity with data management tools, statistical analysis software, and knowledge of clinical data standards like CDISC are often required, along with SAS Base and Advanced certifications. Attention to detail, problem-solving abilities, and effective communication skills help SAS Programmers excel in translating complex data into actionable insights. These skills ensure accurate data analysis, regulatory compliance, and effective collaboration with project teams.

What does a SAS programmer do?

As a SAS (Statistical Analysis System) programmer, you are an IT professional who focuses on data collection and analysis. SAS programmers aggregate data and manipulate it for the purpose of analyzing current projects and productivity, as well as predicting future trends and needs. They gather data from all available sources and process it using SAS in order to find the desired answers or provide needed analysis to management to help in decision making.

What are some common challenges SAS programmers face when working with large datasets, and how can they be addressed?

SAS Programmers often encounter challenges related to processing speed and memory limitations when working with very large datasets. To address these issues, it is important to use efficient coding practices such as indexing, data step optimization, and leveraging SAS procedures designed for large data handling. Collaborating closely with data management teams and IT support can also help in optimizing access to hardware resources and ensuring data integrity. Staying current with SAS updates and utilizing available documentation can further improve efficiency and problem-solving.

What is the difference between Sas Programmer vs Data Analyst?

AspectSas ProgrammerData Analyst
Required SkillsProficiency in SAS programming, data manipulation, and statistical analysisData visualization, statistical analysis, and reporting skills
Work EnvironmentOften in healthcare, finance, or pharmaceutical industriesAcross various industries including marketing, finance, and healthcare
CertificationsSAS Certified Data Scientist or Base ProgrammerNone specific, but certifications like CAP or Microsoft Data Analyst are common

While both roles involve working with data, Sas Programmers primarily focus on developing and maintaining SAS code for data analysis, whereas Data Analysts often use a broader range of tools and focus on interpreting data to inform business decisions. Sas Programmers typically work in environments requiring advanced statistical programming, while Data Analysts may handle data visualization and reporting across diverse industries.

Are SAS programmers in demand?

SAS programmers are in demand in industries such as healthcare, finance, and pharmaceuticals that rely on data analysis and reporting. Strong skills in SAS, along with knowledge of data management and statistical analysis, can improve job prospects, especially as data-driven decision-making grows across sectors.
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Sas Programmer jobs near you
Infographic showing various Sas Programmer job openings in Kansas as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $90,905 per year, or $43.7 per hour.

Rates and Data Analyst

Midwest Energy, Inc.

Hays, KS • On-site

Full-time

Posted 3 days ago

New

Job description

On-Site | Midwest Energy Corporate Office, Hays, KS
Job Summary (Overall Purpose of the Position)
The Rates and Data Analyst provide analytical and reporting support for rate development and implementation as well as supporting analytics needed across customer service operations. This position performs entry to intermediate-level data analysis, supports rate and tariff work, and develops dashboards and reports. 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. This role supports enterprise analytics efforts by developing meaningful visualizations, ensuring data quality, and assisting in process improvements that strengthen Midwest Energy's analytics capabilities. At times, the Rates and Data Analyst acts as the customer-facing expert on rates for Midwest Energy.
Job Duties - Responsibilities � Tasks
Rates and Tariff
  1. Assist the Rates and Tariff Manager with data collection and analysis.
  2. Research and resolve issues and questions involving rates and tariffs. Make changes to tariff documents as issues are identified.
  3. Support load forecasting, revenue forecasting, and rate design analyses.
  4. Analyze customer usage patterns, load profiles, customer classes, and seasonal trends using billing and AMI data.
  5. Examine and track external factors affecting energy and gas sales volumes, including weather and economic factors.
  6. Prepare rate comparison analyses and assist Customer Service Representatives with complex billing issues.
  7. Manage the renewable generation interconnection program, guiding customers and vendors through the process, and coordinating with the engineering department for final approval.

Utility Data Analytics
  1. Develop and maintain Excel reports and (ultimately) Power BI dashboards that support Customer Service research.
  2. Perform data cleaning, quality checks, and validation to ensure accuracy of analytics outputs.
  3. Conduct usage trend analysis, load pattern studies, and customer segmentation work under guidance from Rates & Tariff Manager.
  4. Document data workflows, reporting processes, and standard operating procedures.
  5. Assist in enhancing enterprise reporting structures, data governance practices, and routine analytics processes.
  6. Provide ad-hoc insights and data summaries for management, rate design, outage analysis, and customer programs.

General
  1. Participate in special projects that involve data analysis, reporting improvements, or new analytics initiatives.
  2. Build effective working relationships with internal departments to understand data needs and deliver timely information.
  3. Promote safe working habits and follow all safety rules and regulations of Midwest Energy.
  4. Maintain awareness of changes in local, state, and federal rules that may impact Midwest Energy.
  5. Build internal and external relationships to enhance data-sharing, communication, and effective customer service.
  6. Perform other duties as assigned.

Education and Experience
  1. Bachelor's degree in analytics, economics, business, accounting, engineering, information systems, or related field; or equivalent combination of education and relevant work experience.
  2. 1�3 years of experience summarizing data into reports or building simple reports, or a related role preferred. Experience directly in data analytics or business intelligence preferred.
  3. Beginning proficiency with Excel, including summary statistics, formulas, lookups, and data transformation, required.
  4. Ability and wiliness to learn tools such as Power BI and SQL required.
  5. Utility industry experience helpful but not required.
  6. Solid understanding of basic statistics, data validation, and quality control, required.

Key Competencies
  1. Applies sound analytical judgment by reviewing data carefully, identifying patterns or inconsistencies, and using available information to support accurate conclusions.
  2. Demonstrates Intellectual curiosity by asking thoughtful questions and seeking to understand complex data.
  3. Applies a structured approach to problem-solving by gathering relevant information, evaluating possible causes, and supporting data-driven recommendations.
  4. Manages work independently; manages assigned tasks, follows established processes, asks questions when needed, and takes ownership of completing accurate work.
  5. Ability to extract synthesize insights from structured datasets and communicate findings
  6. Ability to manage multiple assignments, meet deadlines, and adapt to shifting priorities.
  7. Effective verbal and written communication with both technical and non-technical audiences.
  8. Models a team-oriented mindset by collaborating with multiple departments to understand data needs and share information.
  9. Takes initiative to improve processes.

Posting Close Date: September 8, 2026
Equal Opportunity Employer

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