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Sas Customer Intelligence Jobs (NOW HIRING)

SAS

Software Developer - Data Services

Cary, NC · On-site

About the job The Customer Intelligence R&D Data Engineering team builds cloud-native backend ... Be encouraged to participate in open-source projects on behalf of SAS. * Ensure all applicable ...

DLH

Programmer Analyst (SAS or R) (Job 1366)

$50K - $80K/yr

... military customers alike by leveraging advanced tools - including digital transformation ... intelligence, data analytics, cloud enablement, modeling, and simulation, and more. DLH is ...

DLH

OR · On-site

$50K - $80K/yr

... military customers alike by leveraging advanced tools - including digital transformation ... intelligence, data analytics, cloud enablement, modeling, and simulation, and more. DLH is ...

SAS

CI360 AI & Agentic AI Product Manager

Cary, NC

... we inspire customers around the world to transform data into intelligence - and questions into ... At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people ...

New

SAS

Application Security Engineer- Remote

$60.25 - $80.25/hr

... intelligence - and questions into answers. If you're looking for a dynamic, fulfilling career with ... Your success will depend on your cooperative skills working with internal SAS customers and other ...

Pae

Collection Manager - Mid

Washington, DC

$110K - $140K/yr

Collaborate across the IC to understand customer intelligence needs and gaps, then develop and ... Proficiency conducting statistics and using statistical packages such as Matlab, SPSS, SAS, S-PLUS ...

USM

SAS Admin - ONLY GC/USC

Dallas, TX

... CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data ... SAS Programming, Hive, Redshift, Amazon S3 Navya 703-953-1819 Additional Information If my ...

Prescient Edge

Mid Collection Manager

Tampa, FL · On-site

Collaborates across the IC to understand customer intelligence needs and gaps to optimize ... SAS, S PLUS, or R. * Graduate of an in-residence DoD/ IC collection management course. Job ...

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Sas Customer Intelligence information

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How much do sas customer intelligence jobs pay per year?

As of Jul 23, 2026, the average yearly pay for sas customer intelligence in the United States is $115,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $117,500.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of someone in a SAS Customer Intelligence role?

Professionals in SAS Customer Intelligence roles generally focus on managing marketing campaigns, analyzing customer data to inform targeted strategies, and leveraging SAS tools to segment and predict customer behavior. You can expect to collaborate closely with marketing, IT, and analytics teams to design and implement data-driven solutions that enhance customer engagement and increase ROI. Regular tasks include building predictive models, creating reports and dashboards, and continuously optimizing campaign performance. The role often involves problem-solving and adapting to quickly changing marketing trends, offering opportunities to learn advanced analytics techniques and contribute to high-impact organizational initiatives.

What is a SAS Customer Intelligence job?

A SAS Customer Intelligence job involves using SAS software to analyze customer data, develop marketing strategies, and optimize customer interactions. Professionals in this role work with predictive analytics, campaign management, and data visualization to improve customer engagement and business performance. They often collaborate with marketing, sales, and IT teams to implement data-driven solutions. Strong analytical skills and proficiency in SAS tools such as SAS CI Studio, SAS Visual Analytics, and SAS Data Management are essential for success in this role.

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

To excel as a SAS Customer Intelligence professional, you need expertise in data analysis, marketing analytics, and customer segmentation, often supported by a degree in a quantitative field such as statistics, marketing, or computer science. Proficiency with SAS Customer Intelligence suite, SQL, CRM tools, and relevant certifications like SAS Certified Specialist are highly beneficial. Strong problem-solving abilities, communication, and collaboration skills help drive cross-functional initiatives and translate data insights into actionable marketing strategies. These competencies are essential for optimizing customer engagement and delivering measurable business value through data-driven decision-making.

More about Sas Customer Intelligence jobs
What cities are hiring for Sas Customer Intelligence jobs? Cities with the most Sas Customer Intelligence job openings:
What are the most commonly searched types of Sas Customer Intelligence jobs? The most popular types of Sas Customer Intelligence jobs are:
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Sas Customer Intelligence jobs near you
Infographic showing various Sas Customer Intelligence job openings in the United States as of July 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $115,000 per year, or $55.3 per hour.
Software Developer - Data Services

Software Developer - Data Services

SAS

Cary, NC • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Software Developer - Data Services - Hybrid, Cary, NC
We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.
If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.
About the job
The Customer Intelligence R&D Data Engineering team builds cloud-native backend services and platform capabilities that support CI360. We design systems that handle high-volume event data, real-time processing, and service orchestration across multiple tenants and value streams. This is a backend engineering role operating at scale-not a traditional data pipeline role.
Our platform is evolving toward:
  • Cloud-first, containerized architectures
  • Event-driven, distributed backend systems
  • Deep integration of AI capabilities into core services and workflows

As a Software Developer, you will:
Design and build cloud-native backend systems that are foundational to the platform:
  • Architect and implement scalable, cloud-native backend services (Java-based) deployed on AWS
  • Design for resilience, elasticity, and multi-tenant scale using modern cloud patterns
  • Build and evolve distributed systems leveraging services such as EKS, Lambda, Step Functions, SQS, SNS, DynamoDB, and OpenSearch
  • Develop event-driven architectures that support real-time data processing and orchestration
  • Own the design of service interfaces, APIs, and backend abstractions that other teams depend on
  • Work with open table formats (e.g., Apache Iceberg) to enable:
    • Reliable, ACID-compliant data access across distributed systems
    • Scalable, cloud-native analytical and operational workloads
    • Seamless interoperability between backend services, data pipelines, and AI workloads
  • Apply Generative AI to backend engineering challenges, such as:
    • Intelligent workflow orchestration
    • Automated decisioning and routing
    • AI-assisted data transformation and service optimization
  • Enhance cloud-native observability-metrics, logging, tracing, and alerting-to ensure production readiness and operational excellence
  • Be encouraged to participate in open-source projects on behalf of SAS.
  • Ensure all applicable security policies and processes are followed to support the organization's secure software development goals.
  • Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.

Required qualifications
  • 5+ years of experience building backend or distributed systems in cloud environments
  • Bachelor's degree in computer science or related field (or equivalent experience)
  • Strong proficiency in Java, with experience delivering production services
  • Hands-on experience with cloud-native architectures (AWS or similar), including:
    • Microservices or service-oriented architecture
    • Containerized deployments (Docker, Kubernetes, ECS/EKS)
    • Managed cloud services (Lambda, SQS, SNS, DynamoDB, etc.)
  • Experience with Python for cloud automation, AI integration, or tooling
  • Exposure to streaming architectures (Kafka, Kinesis, Flink)
  • Strong SQL and relational database expertise (e.g., PostgreSQL, MySQL, AWS RDS), with experience designing efficient, scalable data access layers and optimizing performance in production systems.
  • Demonstrated ability to design scalable, resilient, cloud-deployed systems
  • Equivalent combination of related education, training and experience may be considered in place of the above qualifications.

Additional competencies, knowledge, and skills
  • Innovation - You must be creative and devise unique solutions to complex problems that provide a competitive advantage for our products.
  • Technology Savvy - You must keep apprised of emerging industry trends and technology to consistently recommend modern approaches to our challenges.
  • Complexity - Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrates good judgment in selecting methods and techniques for obtaining solutions.
  • Supervision - Works independently; receives minimal guidance on day-to-day work and new projects or assignments.
  • Experience working with or designing systems using open table formats, such as:
    • Apache Iceberg
    • Delta Lake or Apache Hudi
  • Familiarity with AI/ML or Generative AI integration into backend systems
  • Strong understanding of cloud observability and operational excellence.

World-class benefits
Highlights include...
  • Comprehensive medical, prescription, dental and vision plans.
  • Medical plan options include:
    • PPO with low annual deductible and copays.
    • HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center).
  • Onsite Health Care Center (HQ) that's free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
  • An industry-leading 401k plan.
  • Tuition Assistance Program and programs and resources to support your development
  • Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1.
  • Volunteer Time Off, parental leave and unlimited paid sick days.
  • Generous childcare benefits for all full-time employees.

Additional Information
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity/Affirmative Action employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Know Your Rights. Also view the Pay Transparency notice.
Job level will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
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