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Sas Tableau Jobs (NOW HIRING)

Senior Decision Support Analyst

Los Angeles, CA · On-site

$92.10K - $114.80K/yr

Hyperion (Brio), Business Objects, Crystal Reports, TOAD, Excel, Access, Word, Power Point, SAS, Tableau, EPIC systems, and Oracle databases Additional Information All your information will be kept ...

Familiarity with SAS and Python would be preferred. Key Responsibilities: • Tableau Development: Design, develop, and optimize interactive Tableau dashboards and reports. • Backend & Data ...

SAS would be preferred Qualifications * 5+ years of experience within design and development on BI reporting and analytics * 3+ years of experience using Tableau Desktop and Server * Excellent SQL ...

TABLEAU ADMIN Location : Newark, DE Type : Fulltime Permanent Work Status : US Citizen / GC / EAD ... Cognos, Actuate, SAS, SSRS, Informatica Expertise in Data Interoperability and Analytics ...

Perform administrative and support activities across a multi-environment Tableau infrastructure ... Cognos, Actuate, SAS, SSRS, Informatica. Expertise in Data Interoperability and Analytics.

Newark, DE Number of Openings: 1 Tableau Admin Relevant Years of Experience: 5 to 7 Years ... Cognos, Actuate, SAS, SSRS, Informatica. Expertise in Data Interoperability and Analytics.

Experience configuring Tableau connectivity to enterprise data sources like Redshift , Oracle , SAS . Experience supporting Tableau in an AWS-hosted Linux environment , including multi-node cluster ...

Perform administrative and support activities across a multi-environment Tableau infrastructure ... Cognos, Actuate, SAS, SSRS, Informatica. Expertise in Data Interoperability and Analytics.

... Cognos, SAS & QlikView. Understand business requirements very clearly then translate and use ... Perform Tableau Test site admin tasks, responsible for production coordination, dashboard ...

... Cognos, SAS & QlikView. Understand business requirements very clearly then translate and use ... Perform Tableau Test site admin tasks, responsible for production coordination, dashboard ...

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Sas Tableau information

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How much do sas tableau jobs pay per hour?

As of May 29, 2026, the average hourly pay for sas tableau in the United States is $54.12, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $59.86 per hour, depending on experience, location, and employer.

What is a Sas Tableau job?

A SAS Tableau job typically involves using both SAS (Statistical Analysis System) for data manipulation, analysis, and reporting, along with Tableau for data visualization and dashboard creation. Professionals in this role extract, transform, and analyze data using SAS and then use Tableau to create interactive visualizations that help in decision-making. This role is common in industries like finance, healthcare, and marketing, where data-driven insights are crucial. Strong proficiency in SQL, SAS programming, and Tableau development is usually required.

What are the key skills and qualifications needed to thrive in the Sas Tableau position, and why are they important?

To thrive as a Sas Tableau professional, you need a strong background in data analysis, statistical modeling, and reporting, often supported by a degree in fields like statistics, computer science, or business analytics. Proficiency in SAS programming, Tableau visualization, and related certifications (such as SAS Certified Specialist or Tableau Desktop Specialist) are typically sought after for this role. Excellent problem-solving, communication, and collaboration skills help you effectively translate data insights to non-technical stakeholders. These abilities are crucial for delivering actionable analytics that drive informed business decisions and add measurable value to organizations.

What are the common challenges faced by Sas Tableau professionals, and how can they be addressed?

Sas Tableau professionals often face challenges such as integrating data from multiple sources, ensuring data accuracy, and balancing tight deadlines when creating impactful visualizations. Navigating complex datasets while maintaining clarity in data storytelling can also be demanding. The key to success involves strong attention to detail, clear communication with business teams, and continuous learning to stay updated with the latest software features and best practices. Collaborating closely with IT and business departments helps address data quality concerns and ensures deliverables align with organizational goals.

SAS Analyst ( SAS, Tableau, SQL, Python)

Purple Drive Technologies

San Antonio, TX • On-site

Full-time

Posted 5 days ago


Job description

Overview:
Experience:
Insights Delivery/ Reporting/dashboarding/visualization
Experience in SAS, Tableau, SQL, Python
Should have ability to understand domain, data, and insights generation methodology
Create assets/templates and identify optimization opportunities in terms of re-pointing, eliminating redundancies and improving the development process
Should be able to use the data through SQL for discovery prior to working on the reporting/dashboarding/visualization.
Data discovery, Data Analysis and Exploratory Data Analysis
Tasks:
• Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
• Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.
• Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.
• Translates recommendation into communication materials to effectively present to colleagues for peer review and mid-to-upper level management.
• Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
• Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
• Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
• Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
• Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
• Delivers analysis/findings in a manner that conveys understanding, influences mid to upper level management, garners support for recommendations, drives business decisions, and influences business strategy.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.