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Sas Data Analyst Jobs in Arizona (NOW HIRING)

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts ... and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract ...

Cons Prod Strat Analyst III

Phoenix, AZ · On-site

$85K - $115K/yr

Key responsibilities include utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational data bases to provide analytical support on strategies, ensure goals are met, and ...

Cons Prod Strat Analyst III

Chandler, AZ · On-site

$84K - $114K/yr

Key responsibilities include utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational data bases to provide analytical support on strategies, ensure goals are met, and ...

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

Who has nearly 7+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data ...

The Fraud Risk Analyst develops data-driven insights and strategies that strengthen fraud ... of hands-on SAS programming experience is required. Experience with SQL, Python, and other ...

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Sas Data Analyst information

See Arizona salary details

$21

$46

$69

How much do sas data analyst jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for sas data analyst in Arizona is $46.49, according to ZipRecruiter salary data. Most workers in this role earn between $34.28 and $54.66 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.

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.

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.

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.

Are SAS Data Analyst jobs in demand?

SAS Data Analyst jobs are in demand due to the continued need for data analysis and reporting in various industries such as healthcare, finance, and government. Proficiency in SAS software, data management, and statistical analysis skills increase employability, and demand is expected to grow as organizations rely more on data-driven decision-making.
Infographic showing various Sas Data Analyst job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $96,691 per year, or $46.5 per hour.

Data Analyst (REMOTE)

Arsenault Inc

Phoenix, AZ • Remote

$115K - $126K/yr

Full-time

Re-posted 14 days ago


Job description

Responsibilities

Responsible for ensuring the business makes better decisions through collection and usage of data. Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and reporting. Ability to collect, analyze, manipulate, and report on ARSENAULT data.

Essential Duties And Responsibilities

Performs ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets.

Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs.

Defines data requirements and gathers and validates information, using judgment and statistical tests.

Utilizes programming and analytical tools, including open source programs including Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required.

Identifies and troubleshoots data integration and integrity issues in cooperation with the appropriate ARSENAULT business units; Designs work flows and procedures.

Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance.

Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau).

Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization.

Other Duties as Assigned

Supervisory Responsibilities

No formal supervisory responsibilities in this position. May provide informal assistance such as technical guidance, and/or training to coworkers. May coordinate and assign tasks to co-workers within a work unit and/or project.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION And EXPERIENCE

Bachelor's degree from top tier school in computer science, math, engineering or related field with a minimum of 3 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS and/or SPSS including 2-3 years technical experience in software development, machine learning or statistical analysis, data engineering and data visualization related work.

Communication Skills

Excellent written and verbal communication skills. Strong organizational and analytical skills. Ability to provide efficient, timely, reliable and courteous service to customers. Ability to effectively present information.

FINANCIAL KNOWLEDGE

Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis.

REASONING ABILITY

Ability to comprehend, analyze, and interpret documents. Ability to solve problems involving several options in situations. Requires intermediate analytical and quantitative skills.

OTHER SKILLS And ABILITIES

Experience with Microsoft BI stack (e.g., SSRS) a bonus.

Proficient in Microsoft Office Suite including Word, PowerPoint, Excel, and Outlook.

Strong analytical skills.

SCOPE OF RESPONSIBILITY

Decisions made with understanding of procedures and company policies to achieve set results and deadlines. Responsible for setting own project deadlines. Errors in judgment may cause short-term impact to co-workers and supervisor.

In compliance with Colorados Equal Pay for Equal Work Act (EPEWA) we are disclosing the compensation, or a range thereof, for roles that will be, or could be, performed in Colorado.

If performed in Colorado, this position has a salary range of $115,000 - $126,000 with an opportunity for a company-wide annual discretionary bonus, through our PRP Bonus plan, of up to 10% of eligible pay.

ARSENAULT is an equal opportunity/affirmative action employer with a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

NOTE: An additional requirement for this role is the ability to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing.