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Weekend Sas Programmer Jobs in Ohio (NOW HIRING)

... Engineering, or a STEM degre or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years' work experience in analytics or data science * Experience with R, RStudio, Python, SAS, SQL ...

SAS and / or statistical programming experience; * Knowledge of databases and data management process; and * Knowledge of statistical methods commonly used in pharmaceutical clinical trials. Travel:

SAS and / or statistical programming experience; * Knowledge of databases and data management process; and * Knowledge of statistical methods commonly used in pharmaceutical clinical trials. Travel:

... or other programming skills necessary for data extraction and maintenance Required Knowledge ... SPSS, SAS, STATA, etc.) Ability to represent the division and Miami University in professional ...

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Weekend Sas Programmer information

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$46

$75

How much do weekend sas programmer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for weekend sas programmer in Ohio is $46.59, according to ZipRecruiter salary data. Most workers in this role earn between $32.69 and $58.51 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 Ohio? The most popular types of Sas Programmer jobs in Ohio are:
What are popular job titles related to Weekend Sas Programmer jobs in Ohio? For Weekend Sas Programmer jobs in Ohio, the most frequently searched job titles are:

Data Scientist - w2

Sidram Technologies

Columbus, OH • On-site

Contractor

Posted 29 days ago


Job description

Data Scientist

Contract to Hire

Location - Columbus, OH

 

Summary:

Our banking client is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team.

The Team:

You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics organization. Team members are highly skilled in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics. Members of the team primarily support the Digital and Omnichannel organizations but are strategically positioned to partner with and support nearly every part of the company including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banks, Private Client Group, Enterprise Payments, and IT. We align with our partners within the Agile development framework and support projects throughout their entire lifecycle from ideation through delivery on the largest and most visible projects undertaken at the company. This highly visible and critical role will be set in a fast-paced environment with the ability to influence not just any single project but the overall direction of the organization.

Duties and Responsibilities:

  • Ability to use advanced analytics methods to extract value from business data.
  • Ability to perform large-scale experimentation and build data-driven models to answer business questions.
  • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
  • Determines requirements that will be used to train and evolve deep learning models and algorithms.
  • Influences product teams through presentation of data-based recommendations.
  • Performs other duties as assigned.

Basic Qualifications:

  • Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degre or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years’ work experience in analytics or data science
  • Experience with R, RStudio, Python, SAS, SQL, NoSQL

Preferred Qualifications:

  • Up-to-date knowledge of machine learning and data analytics tools and techniques
  • Knowledge in predictive modeling methodology
  • Experienced at leveraging both structured and unstructured data sources
  • Willingness and ability to learn new technologies on the job
  • Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
  • Work and/or educational experience with big data analysis tools and techniques
  • Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
  • Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
  • Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
  • Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
  • Financial Services background

About Candidate:

  • A curious mind with a thirst for discovery, answers, optimization, and continuous improvement
  • Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
  • Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity
  • Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
  • Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment
  • Experience in banking or financial services is a plus

Rachael

IT Services | Development | Staffing

URL: http:/www.sidramtech.com |

Email: rachael@sidramtech.com  

Direct: 4705239688

Led by 25+ Years of Industry Experience