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Sas Data Analyst Jobs (NOW HIRING)

Data Analyst

Manhattan, NY · On-site

$1.0K - $2.0K/yr

Strong proficiency in R and SAS programming languages. Preferred Qualifications: * Experience in the agriculture industry or related fields. * Familiarity with advanced data analysis techniques and ...

Data Analyst

Anchorage, AK · On-site

$1.5K - $2.0K/yr

Strong proficiency in R and SAS programming languages. Preferred Qualifications: * Experience in the agriculture industry or related fields. * Familiarity with advanced data analysis techniques and ...

The position will support Servicing Portfolio Analytics This will require a lot of data validation ... Candidate should be able to use SAS to query database and import different type of files. Must be ...

Data Analyst Job ID: KAISJP00230764 Location: Pasadena, Ca 91101 Minimum three (3) years' of related work experience Experience using R, Python, SAS, and/or STATA Five (5) years' of work experience ...

Competent in use & writing SQL / SAS for data analysis and data mining tools (experience working with Big Data tools a plus). Comprehensive analytical, reasoning, problem-solving and communications ...

Company Description Coders Data is an incorporated consulting team of designers, developers, and ... SAS Analyst is the most efficient data analyst in the world built to facilitate mining, altering ...

Support regional planning efforts through advanced land use modeling, data analysis, and ... Develop and maintain land use forecasting models using SAS and Python, incorporating time-series ...

Company Description Coders Data is an incorporated consulting team of designers, developers, and ... SAS Analyst is the most efficient data analyst in the world built to facilitate mining, altering ...

NC, SC The Enterprise Data Analyst serves as a key liaison between business and technology teams ... Understanding of Base SAS programming, SAS Enterprise Guide, Cognos, or related programs, IBM ...

Data Analyst

$86K - $138K/yr

Conduct analysis and develop reporting requirements to define data standards specifications ... Experience with SAS, data visualization using programming languages, (e.g. Python or R), or ...

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... SPSS, SAS etc) * Strong analytical skills with the ability to collect, organize, analyze, and ...

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Sas Data Analyst information

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How much do sas data analyst jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for sas data analyst in the United States is $49.88, according to ZipRecruiter salary data. Most workers in this role earn between $36.78 and $58.65 per hour, depending on experience, location, and employer.

What is the difference between Sas Data Analyst vs SAS Developer?

AspectSas Data AnalystSAS Developer
Primary RoleAnalyzes data, creates reports, and supports decision-making using SAS toolsDevelops, codes, and maintains SAS programs and applications
Skills & CertificationsProficiency in SAS Base, data analysis, and reporting; often requires a degree in statistics or related fieldStrong SAS programming skills, including macros and SQL; certifications like SAS Certified Data Scientist are common
Work EnvironmentBusiness analytics, healthcare, finance, and research sectorsIT departments, analytics teams, and software development environments

While both roles require SAS skills and often overlap in industries like finance and healthcare, Sas Data Analysts focus on analyzing data and generating insights, whereas SAS Developers primarily build and maintain SAS applications and code. Understanding these differences helps in choosing the right career path or job search focus.

Is it hard to get a job at SAS?

Securing a SAS Data Analyst position can be competitive, often requiring strong skills in SAS programming, data analysis, and statistical methods. Relevant certifications and experience with data management tools can improve job prospects, but the difficulty varies based on the job market and individual qualifications.

What is the salary of SAS data analyst?

The average salary of a SAS Data Analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SAS, data visualization, and statistical analysis tend to earn higher salaries.

Do data analysts use SAS?

Data analysts often use SAS as a statistical analysis and data management tool, especially in industries like healthcare, finance, and government. Proficiency in SAS can enhance a data analyst's ability to handle large datasets, perform complex analyses, and generate reports, making it a valuable skill in many data analysis roles.

What is a SAS Data Analyst?

A SAS Data Analyst is a professional who uses SAS (Statistical Analysis System) software to collect, process, and analyze data for organizations. They are responsible for creating data reports, running statistical analyses, and generating insights that support business decisions. SAS Data Analysts typically work with large datasets, clean and validate data, and create visualizations to present findings to stakeholders. Their expertise in SAS programming helps companies leverage data for research, marketing, finance, healthcare, and other industries.

Are SAS skills in demand?

SAS skills are in high demand for data analysis, reporting, and statistical modeling across industries such as healthcare, finance, and government. Proficiency in SAS, along with knowledge of data management and analytics tools, can improve job prospects for SAS Data Analysts. The demand for SAS professionals remains strong due to the continued reliance on legacy systems and regulatory compliance requirements.

What types of projects do SAS Data Analysts typically work on, and how do they collaborate with other teams?

SAS Data Analysts often work on projects involving data extraction, transformation, and analysis to support business decision-making. They collaborate closely with data engineers to access and clean data, as well as with business analysts and stakeholders to understand project goals and present actionable insights. Communication and teamwork are essential, as analysts frequently participate in cross-functional meetings to ensure their analyses align with organizational objectives. Additionally, they may help automate reporting processes and contribute to ongoing data quality improvements.

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

To thrive as a SAS Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in fields like mathematics, computer science, or a related discipline. Expertise in SAS programming, data manipulation tools, and familiarity with databases such as SQL are typically required, and certifications like SAS Certified Specialist can be advantageous. Attention to detail, problem-solving abilities, and effective communication are key soft skills that help in interpreting data and presenting insights to stakeholders. These skills and qualities are crucial for extracting actionable information from complex data sets and driving data-informed decision-making.
More about Sas Data Analyst jobs
What cities are hiring for Sas Data Analyst jobs? Cities with the most Sas Data Analyst job openings:
What states have the most Sas Data Analyst jobs? States with the most job openings for Sas Data Analyst jobs include:
Infographic showing various Sas Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $103,758 per year, or $49.9 per hour.

$1.0K - $2.0K/yr

Full-time

Posted 6 days ago


Job description

About the Role:

The Data Analyst will play a crucial role in transforming raw agricultural data into actionable insights that drive decision-making and improve operational efficiency. This position involves analyzing complex datasets to identify trends, patterns, and anomalies that can inform strategic initiatives within the agriculture sector. The successful candidate will collaborate with cross-functional teams to ensure data integrity and accuracy, enabling the organization to leverage data for enhanced productivity and sustainability. Additionally, the Data Analyst will be responsible for creating compelling visualizations and reports that communicate findings to stakeholders at all levels. Ultimately, this role is essential for fostering a data-driven culture within the organization and supporting its mission to innovate in the agricultural industry.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Agriculture, or a related field.
  • Proven experience in data analysis and data visualization tools such as Power BI and Tableau.
  • Strong proficiency in R and SAS programming languages.

Preferred Qualifications:

  • Experience in the agriculture industry or related fields.
  • Familiarity with advanced data analysis techniques and machine learning algorithms.
  • Knowledge of database management systems and SQL.

Responsibilities:

  • Collect, clean, and preprocess agricultural data from various sources to ensure high-quality datasets.
  • Utilize statistical tools and programming languages such as R and SAS to perform data analysis and generate insights.
  • Create and maintain interactive dashboards and visualizations using Power BI and Tableau to present data findings to stakeholders.
  • Collaborate with agronomists and other team members to understand data requirements and provide analytical support for ongoing projects.
  • Conduct regular data audits and implement data cleansing processes to maintain data accuracy and reliability.

Skills:

The required skills in data cleaning and data extraction are essential for ensuring that the datasets used for analysis are accurate and reliable. Proficiency in pivot tables and data visualization tools like Power BI and Tableau allows the Data Analyst to create insightful reports that effectively communicate findings to stakeholders. The use of R and SAS programming languages is critical for performing complex statistical analyses and modeling. Daily work will involve collaborating with team members to understand their data needs, which requires strong communication and problem-solving skills. Preferred skills, such as familiarity with machine learning algorithms, can enhance the analyst's ability to derive deeper insights and contribute to innovative projects.