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Weekend Sas Programmer Jobs in Georgia (NOW HIRING)

Working experience with real-time fraud decisioning platforms , such as Falcon, Actimize, SAS Fraud ... Experience working with crossfunctional teams (Product, Engineering, Compliance, Operations) to ...

Working experience with real-time fraud decisioning platforms , such as Falcon, Actimize, SAS Fraud ... Experience working with cross-functional teams (Product, Engineering, Compliance, Operations) to ...

... programming language (e.g. VBA, Python, R, SAS, .NET, C++, Java, etc.) * Experience building reports/analyses with analytical tools (e.g. Excel, JMP, SAS, Mathematica, SPSS, Tableau, etc.) * Prior ...

... programming (XML, Javascript, or ETL frameworks) Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc) Strong analytical skills with the ...

... etc), programming (XML, Javascript, or ETL frameworks) • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc) • Strong analytical ...

Familiarity with R, Python, SAS (or equivalent) programming languages * Familiarity with SQL or another database language * Strong algorithmic development skills * Understanding of applied ...

Familiarity with R, Python, SAS (or equivalent) programming languages * Familiarity with SQL or another database language * Strong algorithmic development skills * Understanding of applied ...

This role leverages strong mathematical, statistical, and programming skills to analyze historical ... SAS/SQL for data extraction, data mining, and predictive analytics - Demonstrated project ...

... Python, SAS, R, etc.) to create predictive analytics applications. 6. Use, maintain, share and ... or Engineering, or equivalent education and related training 2. Exhibit understanding of ...

Data extraction and Validation: * * 1. The CDI analyst is advanced in programing language. Ability ... SQL, SAS, Python, Excel, Power-BI, Tableau, AWS/Azure, and cloud applications * Strong analytical ...

CDCE Data Analyst

Atlanta, GA · Remote

$52.37 - $65.06/hr

Data extraction and Validation: * * 1. The CDI analyst is advanced in programing language. Ability ... SQL, SAS, Python, Excel, Power-BI, Tableau, AWS/Azure, and cloud applications * Strong analytical ...

Data extraction and Validation: * * 1. The CDI analyst is advanced in programing language. Ability ... SQL, SAS, Python, Excel, Power-BI, Tableau, AWS/Azure, and cloud applications * Strong analytical ...

... Python, SAS, R, etc.) to create predictive analytics applications. 6. Use, maintain, share and ... or Engineering, or equivalent education and related training 2. Exhibit understanding of ...

Data extraction and Validation: * * 1. The CDI analyst is advanced in programing language. Ability ... SQL, SAS, Python, Excel, Power-BI, Tableau, AWS/Azure, and cloud applications * Strong analytical ...

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Weekend Sas Programmer information

See Georgia salary details

$12

$41

$67

How much do weekend sas programmer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for weekend sas programmer in Georgia is $41.38, according to ZipRecruiter salary data. Most workers in this role earn between $29.04 and $51.97 per hour, depending on experience, location, and employer.

How much do SAS programmers make?

SAS programmers typically earn between $70,000 and $110,000 annually, depending on experience, location, and industry. Senior or specialized SAS programmers with certifications can earn higher salaries, especially in healthcare, finance, or technology sectors. Compensation may also include benefits such as bonuses and flexible schedules.

How hard is it to get a job at SAS?

Securing a Weekend SAS Programmer position typically requires proficiency in SAS programming, data analysis, and relevant experience or certifications. Competition can vary based on location and employer demand, but strong technical skills and relevant training improve job prospects.

What are the typical responsibilities of a Weekend SAS Programmer, and how does the role fit within the overall data team?

As a Weekend SAS Programmer, you are primarily responsible for developing, testing, and optimizing SAS programs to manage, analyze, and report on large datasets—often to meet tight deadlines or provide critical weekend support. The role may involve collaborating remotely with project managers, analysts, or other programmers to ensure data integrity and timely project delivery. Weekend shifts typically require a high level of autonomy, but you may also participate in virtual meetings or provide status updates to the weekday team. This structure allows organizations to maintain continuous data operations and quickly address time-sensitive analytical needs, making your contributions vital to team efficiency.

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, and demand is driven by the need for data-driven decision making and regulatory compliance. Job opportunities often require strong analytical skills and knowledge of data management tools.

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

To thrive as a Weekend SAS Programmer, you need strong expertise in SAS programming, data analysis, and statistical methodologies, often supported by a degree in computer science, statistics, or a related field. Proficiency with SAS software, SQL, and experience with data management tools or relevant certifications such as Base SAS Certification are important. Effective time management, communication skills, and the ability to work independently are key soft skills in this role. These abilities ensure accurate data handling and reporting within limited timeframes, supporting business or research objectives during non-standard working hours.

What is a Weekend SAS Programmer job?

A Weekend SAS Programmer is responsible for developing, maintaining, and troubleshooting SAS programs, typically on weekends. These professionals work with datasets, generate reports, and support data analysis for businesses or research projects. The role may involve data cleaning, statistical analysis, and automating processes using SAS. Often, this position is suited for professionals seeking part-time or flexible work arrangements.

What is the average salary for a SAS programmer?

The average salary for a SAS programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Skilled programmers with certifications and knowledge of data analysis tools can earn higher salaries, especially in healthcare, finance, and pharmaceutical sectors.
What are the most commonly searched types of Sas Programmer jobs in Georgia? The most popular types of Sas Programmer jobs in Georgia are:
What job categories do people searching Weekend Sas Programmer jobs in Georgia look for? The top searched job categories for Weekend Sas Programmer jobs in Georgia are:
What cities in Georgia are hiring for Weekend Sas Programmer jobs? Cities in Georgia with the most Weekend Sas Programmer job openings:
Infographic showing various Weekend Sas Programmer job openings in Georgia as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $86,067 per year, or $41.4 per hour.
Card Fraud Data Scientist II

Card Fraud Data Scientist II

Truist

Atlanta, GA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Truist rating

8.3

Company rating: 8.3 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

34th of 141 rated banks


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.


QUALIFICATIONS
Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment

Preferred Qualifications:
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Four years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry

Additional Job Description:

  • Experience analyzing fraud trends using large datasets, applying statistical techniques, SQL, and/or datascience tools to identify anomalies, build rules, or evaluate model performance.

  • Working experience with real-time fraud decisioning platforms, such as Falcon, Actimize, SAS Fraud Management, or similar machinelearning-driven systems.

  • Hands-on expertise with fraud detection tools and data signals, including device intelligence, behavioral biometrics, consortium data, thirdparty risk scoring, and velocity or linkanalysis tools.

  • Proven ability to translate fraud risk requirements into actionable rules, model features, detection logic, or platform configurations.

  • Strong understanding of payment ecosystems, including card network rules, issuer/acquirer authorization flows, chargeback lifecycle, and dispute management.

  • Background in fraud strategy design, including rule optimization, model monitoring, and roadmap planning.

  • Experience working with crossfunctional teams (Product, Engineering, Compliance, Operations) to implement fraudrisk initiatives.

OTHER JOB REQUIREMENTS / WORKING CONDITIONS

Sitting
Constantly (More than 50% of the time)
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Minimal and up to 10%

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

EEO is the Law E-Verify IER Right to Work


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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019