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Sas Data Analyst Jobs in Florida (NOW HIRING)

... analytics, automation, and scalable data solutions across the organization ... SAS, Essbase, Hyperion, and database management/administration (DBM/DBA) preferred * Lead the ...

Data Analyst

Orlando, FL · On-site

$70 - $100/hr

Certifications in data analysis software (such as SAS, R, Python), big data technologies, or business intelligence platforms like Tableau or Power BI are highly desirable. 2. Professional Experience:

Acquire data from primary and secondary sources while effectively maintaining databases and data ... Familiarity with statistical packages for analyzing large datasets (e.g., Excel, SPSS, SAS)

This position will report directly to the Data and Analytics Manager and will provide analytical ... Background in SAS programming is paramount to success in this role, as well as a complete ...

This position will report directly to the Data and Analytics Manager and will provide analytical ... Background in SAS programming is paramount to success in this role, as well as a complete ...

* Focus on PowerBI, SQL, ETL. Retrieving Data & Analyzing. * Looking for 2-5years of exp not more ... SAS, Essbase, Hyperion, and database management/administration (DBM/DBA) preferred * Lead the ...

Lead Data Analyst Location: Miami, Fl ( 4 days onsite) - Travel industry (not Carnival and not NCL ... SAS, Essbase, Hyperion, and database management/administration (DBM/DBA) preferred * Lead the ...

DATA ANALYST - 48001093 Pay Plan: Career Service Position Number: 48001093 Salary: $60,000 - $65 ... Proficiency in one or more programming languages (e.g., SQL, SAS, Python, R) * Proficiency in one ...

DATA ANALYST - 48001093 Pay Plan: Career Service Position Number: 48001093 Salary: $60,000 - $65 ... Proficiency in one or more programming languages (e.g., SQL, SAS, Python, R) * Proficiency in one ...

DATA ANALYST - 48001093 Pay Plan: Career Service Position Number: 48001093 Salary: $60,000 - $65 ... Proficiency in one or more programming languages (e.g., SQL, SAS, Python, R) * Proficiency in one ...

Senior Principle PM Data Analyst

Gainesville, FL · On-site

$77K - $97K/yr

Advanced proficiency with analytical and reporting tools such as Excel, Power BI, SQL, SAS, R, Python, or comparable platforms. * Demonstrated ability to design data governance standards, analytical ...

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Advanced proficiency with analytical and reporting tools such as Excel, Power BI, SQL, SAS, R, Python, or comparable platforms. * Demonstrated ability to design data governance standards, analytical ...

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Sas Data Analyst information

See Florida salary details

$16

$37

$55

How much do sas data analyst jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for sas data analyst in Florida is $37.28, according to ZipRecruiter salary data. Most workers in this role earn between $27.50 and $43.85 per hour, depending on experience, location, and employer.

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 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.

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 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 SAS in high demand?

SAS Data Analysts are in high demand across industries such as healthcare, finance, and government due to their expertise in data management, statistical analysis, and proficiency with SAS software. The role often requires knowledge of data visualization, programming, and certifications, and job growth is driven by increasing reliance on data-driven decision making.

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 are popular job titles related to Sas Data Analyst jobs in Florida?

For Sas Data Analyst jobs in Florida, the most frequently searched job titles are:

Infographic showing various Sas Data Analyst job openings in Florida as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 84% In-person, 11% Hybrid, and 5% Remote job distribution, with an average salary of $77,537 per year, or $37.3 per hour.

Data Analyst

1 point system

Miami, FL • On-site

Contractor

Re-posted 10 days ago


Job description

  • This role will collaborate with cross-functional teams to migrate and optimize data infrastructure and deliver actionable insights to executive leadership
  • This role will also develop new data objects and power BI reports when the new reservation system is rolled out
  • Experience in cruise, casino, hospitality or a similar industry preferred
  • Expert-level proficiency in SQL, Python, Power BI, VBA, and Alteryx is essential, as these tools are foundational to driving advanced analytics, automation, and scalable data solutions across the organization.
  • SAS, Essbase, Hyperion, and database management/administration (DBM/DBA) preferred
  • Lead the design, development, and deployment of machine learning models and advanced analytics to forecast revenue, optimize pricing, and improve inventory management
  • Develop Power BI Dashboards to replace all Hyperion queries.
  • Engineer and maintain robust data pipelines using modern ETL tools and cloud platforms (e.g., Azure, AWS, GCP) to support real-time and batch analytics.
  • Develop New Data Objects and Power BI dashboards to pull data from the new reservation system.