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Sas Programmer Jobs in Delaware (NOW HIRING)

Citigroup, Inc.

Credit Portfolio Officer

Wilmington, DE · On-site

$151K - $175K/yr

Utilize Statistical Analysis System (SAS) in a UNIX environment to perform risk, financial and data ... Engineering, or a related field and 5 years of progressive, post-baccalaureate experience as a ...

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Sas Programmer information

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$14

$49

$79

How much do sas programmer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for sas programmer in Delaware is $49.05, according to ZipRecruiter salary data. Most workers in this role earn between $34.42 and $61.59 per hour, depending on experience, location, and employer.

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

To thrive as a SAS Programmer, you need strong analytical skills, proficiency in SAS programming languages, and typically a degree in computer science, statistics, or a related field. Familiarity with data management tools, statistical analysis software, and knowledge of clinical data standards like CDISC are often required, along with SAS Base and Advanced certifications. Attention to detail, problem-solving abilities, and effective communication skills help SAS Programmers excel in translating complex data into actionable insights. These skills ensure accurate data analysis, regulatory compliance, and effective collaboration with project teams.

What does a SAS programmer do?

As a SAS (Statistical Analysis System) programmer, you are an IT professional who focuses on data collection and analysis. SAS programmers aggregate data and manipulate it for the purpose of analyzing current projects and productivity, as well as predicting future trends and needs. They gather data from all available sources and process it using SAS in order to find the desired answers or provide needed analysis to management to help in decision making.

What are some common challenges SAS programmers face when working with large datasets, and how can they be addressed?

SAS Programmers often encounter challenges related to processing speed and memory limitations when working with very large datasets. To address these issues, it is important to use efficient coding practices such as indexing, data step optimization, and leveraging SAS procedures designed for large data handling. Collaborating closely with data management teams and IT support can also help in optimizing access to hardware resources and ensuring data integrity. Staying current with SAS updates and utilizing available documentation can further improve efficiency and problem-solving.

What is the difference between Sas Programmer vs Data Analyst?

AspectSas ProgrammerData Analyst
Required SkillsProficiency in SAS programming, data manipulation, and statistical analysisData visualization, statistical analysis, and reporting skills
Work EnvironmentOften in healthcare, finance, or pharmaceutical industriesAcross various industries including marketing, finance, and healthcare
CertificationsSAS Certified Data Scientist or Base ProgrammerNone specific, but certifications like CAP or Microsoft Data Analyst are common

While both roles involve working with data, Sas Programmers primarily focus on developing and maintaining SAS code for data analysis, whereas Data Analysts often use a broader range of tools and focus on interpreting data to inform business decisions. Sas Programmers typically work in environments requiring advanced statistical programming, while Data Analysts may handle data visualization and reporting across diverse industries.

Are SAS programmers in demand?

SAS programmers are in demand in industries such as healthcare, finance, and pharmaceuticals that rely on data analysis and reporting. Strong skills in SAS, along with knowledge of data management and statistical analysis, can improve job prospects, especially as data-driven decision-making grows across sectors.
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Sas Programmer jobs near you
Infographic showing various Sas Programmer job openings in Delaware as of September 2026, with employment types broken down into 59% Full Time, 8% Part Time, 2% Temporary, and 31% Contract. Highlights an 76% In-person, 2% Hybrid, and 22% Remote job distribution, with an average salary of $102,017 per year, or $49 per hour.

Data Science Senior Associate- Card Data & Analytics team

Wilmington, DE • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

Full-time

Medical, Retirement

This job post has expired 2 days ago. Applications are no longer accepted.

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

Job description


As a Data Science Senior Associate in the Card Data & Analytics team, you will develop AI/ML solutions that drive the bottom line for our Credit Card business. You will utilize your skills in data analytics, consulting, and programming to support strategic initiatives and deliver actionable insights. Collaborate with partners across the Card business to define problems, scope solutions, and deliver high-quality analytical models. Your work will involve a mix of consulting, data science, and programming, with a focus on driving data science and analytics strategies.
Job Responsibilities:
  • Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI.
  • Drive data science and analytics strategies, including recommendations on analytical products and standards.
  • Help partners define business problems and scope analytical solutions.
  • Build an understanding of problem domains and available data assets.
  • Research, design, implement, and evaluate analytical approaches and models, including GenAI-based methods.
  • Perform exploratory statistics and data mining tasks on diverse datasets.
  • Communicate findings and obstacles to stakeholders to drive delivery to market.
  • Develop subject matter expertise in financial and operational domains.
  • Code solutions with strong programming skills.
  • Collaborate across teams to deliver the best solutions for clients.

Required Qualifications, Capabilities, and Skills:
  • Bachelor's degree in a relevant quantitative field and 3+ years of data analytics experience, or advanced degree and 2+ years of experience.
  • Exceptional analytical, quantitative, problem-solving, and communication skills.
  • Intellectual curiosity for solving business problems.
  • Leadership and collaboration skills.
  • Knowledge of statistical software (e.g., Python, R, SAS) and data querying languages (e.g., SQL).
  • Familiarity with GenAI and prompt engineering basics (prompt design, evaluation, guardrails).
  • Experience with modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
  • Ability to convey complex information to technical and non-technical audiences.

Preferred Qualifications, Capabilities, and Skills:
  • Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM quality, cost, and latency.
  • Understanding of key drivers within the credit card P&L.
  • Financial services background preferred.
  • M.S. degree or equivalent.

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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