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Sas Programming Jobs in Connecticut (NOW HIRING)

R2 Technologies Corporation

Data Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

... data engineers and source data providers. Provide subject matter expertise in the analysis ... Strong knowledge of analysis tools such as Python, R, Spark or SAS, Shell scripting, R/Spark on ...

Sonsoft Inc

Mainframe Performance Expert

Berlin, CT

$48.50 - $62.50/hr

Expertise in SAS/MXG , Omegamon , CA MICS and any other Performance Tools. * Analytical and Communication skills * Planning and Co-ordination skills * Experience with project management

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

... like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning ... Required Skill and Experience Strong programming skills in Python Hands-on experience with AI/ML ...

Entegris

Manager, Thin Film Deposition R&D

Danbury, CT

$125K - $160K/yr

As a Process Engineering Manager, you will lead our Deposition Process R&D team in our Advanced ... data analysis (SAS JMP or others) * Strong leadership skills and ability to motivate and ...

Entegris

Manager, Thin Film Deposition R&D

Danbury, CT · On-site

$125K - $160K/yr

As a Process Engineering Manager, you will lead our Deposition Process R&D team in our Advanced ... data analysis (SAS JMP or others) * Strong leadership skills and ability to motivate and ...

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Sas Programming information

See Connecticut salary details

$13

$46

$75

How much do sas programming jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for sas programming in Connecticut is $46.62, according to ZipRecruiter salary data. Most workers in this role earn between $32.69 and $58.56 per hour, depending on experience, location, and employer.

What are some common challenges faced by SAS programmers in a collaborative team environment?

SAS Programmers often work alongside statisticians, data managers, and clinical research associates, which requires effective communication and collaboration. A common challenge is ensuring consistent data standards and understanding project requirements across diverse teams, especially when managing large or complex datasets. Additionally, SAS Programmers may need to adapt quickly to evolving regulatory guidelines and client specifications, which can impact timelines and workflow. Being proactive in clarifying expectations and maintaining thorough documentation helps address these challenges and ensures smooth project execution.

What is SAS programming?

SAS programming refers to the use of the SAS (Statistical Analysis System) software suite for data management, advanced analytics, business intelligence, and statistical analysis. SAS programmers write code in the SAS language to import, clean, manipulate, and analyze data, often creating reports and visualizations based on their findings. This skill is widely used in industries such as healthcare, finance, and research, where large datasets must be processed and interpreted efficiently.

Is SAS programming in high demand?

SAS programming is in high demand in industries such as healthcare, finance, and pharmaceuticals, where data analysis and reporting are critical. Skilled SAS programmers with knowledge of data management, statistical analysis, and certifications often find strong job opportunities due to the continued reliance on SAS software for regulatory compliance and data-driven decision-making.

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. The role requires proficiency in SAS software, statistical analysis, and data management, with job opportunities often available for those with relevant certifications and experience. Demand for SAS programmers remains steady due to the continued need for data-driven decision making in these sectors.

What are the key skills and qualifications needed to thrive as a SAS programmer?

To thrive as a SAS Programmer, you need expertise in SAS programming language, data analysis, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with SAS software, SQL, and statistical analysis tools, as well as certifications like SAS Certified Specialist, are typically required. Strong attention to detail, problem-solving skills, and effective communication help you interpret data and collaborate with stakeholders. These skills are crucial for delivering accurate data analysis, supporting business decisions, and ensuring data integrity in complex projects.

What is the difference between Sas Programming vs Data Analyst?

AspectSas ProgrammingData Analyst
Required SkillsProficiency in SAS, data manipulation, statistical analysisData visualization, SQL, basic statistical knowledge
Work EnvironmentHealthcare, finance, pharmaceutical industriesBusiness, marketing, finance sectors
CertificationsSAS certifications often preferredGenerally not required, but certifications like CAP or Microsoft Excel certifications helpful

While Sas Programmers focus on developing and maintaining SAS-based data solutions primarily in regulated industries, Data Analysts interpret data using various tools including SQL and Excel. Sas Programming requires specialized SAS skills and certifications, whereas Data Analysts often have broader analytical skills. Both roles are essential for data-driven decision-making but differ in technical focus and industry application.

What are the most commonly searched types of Sas Programming jobs in Connecticut? The most popular types of Sas Programming jobs in Connecticut are:
What are popular job titles related to Sas Programming jobs in Connecticut? For Sas Programming jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Sas Programming jobs in Connecticut look for? The top searched job categories for Sas Programming jobs in Connecticut are:
Sas Programming jobs near you
Infographic showing various Sas Programming job openings in Connecticut as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $96,964 per year, or $46.6 per hour.

Director Quant Engineer, Finance Analytics

Webster Bank

Stamford, CT • On-site

Full-time

Posted 11 days ago

Webster Bank rating

7.1

Company rating: 7.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

124th of 170 rated banks

Job description

If you're looking for a meaningful career, you'll find it here at Webster. Founded in 1935, our focus has always been to put people first--doing whatever we can to help individuals, families, businesses and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, Excellence are Webster's values, these set us apart as a bank and as an employer.
Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work!
The role involves gathering and understanding FP&A business requirements; Webster's data systems and tools; designing coding and maintaining data workflows; anticipating and resolving data challenges; user-friendly reports and dashboards; and clearly communicating results. The individual needs to collaborate with IT, Data Team, and LoB partners in developing data workflows, data analysis and reporting. The scope includes working across one or more of our main verticals: R&D, Quarterly Production, and/or Credit Scorecards. The Quant Engineer role is right for you if you're a "hands-on" coder and analyst, who takes ownership and puts the business first.
Job Description Summary
If you're looking for a meaningful career, you'll find it here at Webster. Founded in 1935, our focus has always been to put people first, doing whatever we can to help individuals, families, businesses, and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, and Excellence are Webster's values that set us apart as a bank and as an employer.
Come join our Financial Planning & Analysis (FP&A) team, where you can expand your career potential, benefit from robust development opportunities, and enjoy meaningful work. We are seeking a Director, Quant Engineer, Finance Analytics to serve as a key technical leader responsible for designing, developing, and maintaining data workflows, analytical solutions, and reporting capabilities that support critical FP&A initiatives.
This role requires a hands-on engineer and analyst who can effectively partner with Finance, IT, Data Management, Risk, and business stakeholders to translate business requirements into scalable data and analytics solutions. The successful candidate will leverage Webster's data systems and tools to support key functions including Research & Development (R&D), Quarterly Production, and Credit Scorecards while driving innovation, automation, and operational excellence across the FP&A organization.
Primary Responsibilities
  • Gather, analyze, and document FP&A business requirements and translate them into scalable analytical and technical solutions.
  • Design, develop, implement, and maintain robust data workflows supporting financial planning, forecasting, reporting, and credit analytics.
  • Lead the development, implementation, and maintenance of CECL credit loss models supporting regulatory reserving, stress testing, and underwriting activities.
  • Personally participate in coding, testing, deployment, and maintenance of analytical models, workflows, and production processes.
  • Develop deep expertise in Webster's data platforms, systems, tools, and reporting environments.
  • Partner with IT, Data Management, Finance, Risk, and business stakeholders to develop data architectures, workflows, and reporting solutions.
  • Create intuitive reports, dashboards, and data visualizations that enable effective decision-making across the organization.
  • Anticipate, identify, and resolve data quality, workflow, and operational challenges impacting model and reporting processes.
  • Maintain comprehensive workpapers and development documentation supporting governance, audit, validation, and regulatory requirements.
  • Author technical documentation detailing model design, development, testing, implementation, and ongoing enhancements.
  • Effectively communicate analytical findings, technical concepts, and business insights to both technical and non-technical audiences.
  • Lead and/or participate in discussions with Executive Management, Model Risk Management, Audit, Regulatory, and cross-functional project teams.
  • Drive continuous improvement initiatives by identifying opportunities to automate processes and enhance analytical capabilities.

Required Skills & Experience
  • 10+ years of software engineering, data engineering, analytics, or quantitative modeling experience within a commercial bank or financial institution.
  • Strong experience working with complex relational databases and large-scale data structures using Oracle, SQL, or similar technologies.
  • Advanced proficiency in Python, SAS, and/or R programming languages.
  • Experience designing, implementing, and maintaining efficient and scalable data workflows.
  • Experience with workflow orchestration tools such as Apache Airflow or similar platforms.
  • Strong understanding of software development lifecycle methodologies, coding standards, testing frameworks, and deployment practices.
  • Experience building analytical solutions supporting financial, credit risk, forecasting, or reporting functions.
  • Knowledge of commercial and consumer banking products, processes, and operations.
  • Strong analytical, problem-solving, and critical-thinking capabilities.
  • Demonstrated ability to manage multiple priorities and deliver high-quality results in a fast-paced environment.
  • Excellent written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
  • Strong attention to detail and commitment to data quality and accuracy.

Preferred Skills & Experience
  • Experience supporting CECL, stress testing, underwriting, loss forecasting, or credit risk analytics functions.
  • Knowledge of dashboarding and reporting tools such as Tableau, Qlik Sense, or similar business intelligence platforms.
  • Experience supporting model governance, validation, audit, and regulatory review processes.
  • Strong understanding of financial planning and analysis processes within a banking environment.
  • Experience developing enterprise-scale data platforms and analytical solutions.
  • Proven ability to collaborate effectively across Finance, Risk, IT, Data Management, and business organizations.
  • Strong project leadership and stakeholder management skills.
  • Experience driving process automation and workflow optimization initiatives.
  • Familiarity with model risk management frameworks and regulatory expectations.

Education
  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, Statistics, Finance, Economics, or a related quantitative field required.
  • Master's degree in a quantitative discipline preferred.
  • Equivalent combinations of education, technical training, and relevant professional experience will be considered.

The estimated salary range for this position is $160,000 USD to $180,000 USD. Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position is eligible for incentive compensation.
Webster Financial Corporation and its subsidiaries ("Webster") are equal opportunity employers that are committed to sustaining an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity and/or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law.

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