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Weekend Sas Jobs in Spring, TX (NOW HIRING)

Innotech

Data Scientist

Houston, TX

$12K - $78K/yr

Java/Python, SAS) * Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects

Munich Re

Data Scientist, AI

Houston, TX · On-site +1

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Munich RE

Data Scientist, AI

Houston, TX · On-site

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Corva

Drilling Data Analyst

Houston, TX · On-site

Ability to work nights and weekends in a rotation * Ability to enter accurate data and prioritize workload * Excellent written and verbal communication skills in English * Ability to work well with ...

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All JobsSas JobsWeekend Sas JobsWeekend Sas Jobs in Spring, TX

Weekend Sas information

See Spring, TX salary details

$13

$43

$70

How much do weekend sas jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for weekend sas in Spring, TX is $43.61, according to ZipRecruiter salary data. Most workers in this role earn between $30.58 and $54.76 per hour, depending on experience, location, and employer.

What are some common challenges faced by Weekend SAS programmers, and how can they effectively manage their workload?

Weekend SAS programmers often work on tight deadlines and may have limited access to team support during weekend shifts. Managing time efficiently and proactively communicating with weekday teams about ongoing projects and potential issues are crucial. Additionally, weekend roles may require troubleshooting unexpected data anomalies or system issues independently, so strong problem-solving skills and familiarity with support documentation are essential. Building a clear handover process and maintaining up-to-date project documentation can help ensure smooth collaboration across shifts.

What are the key skills and qualifications needed to thrive as a SAS (Statistical Analysis System) Analyst on weekends, and why are they important?

To thrive as a SAS Analyst, you need a solid background in statistics, data analysis, and programming, often supported by a degree in a quantitative field. Proficiency with SAS software, familiarity with databases, and relevant certifications such as SAS Certified Specialist are typically required. Strong problem-solving skills, attention to detail, and effective time management help you excel, especially when working independently on weekends. These skills ensure accurate data insights, timely project delivery, and high-quality analyses that drive business decisions.

What are Weekend SAs?

Weekend SAs, or Weekend Service Assistants, are employees who typically work part-time shifts on weekends to provide support services in various settings, such as retail, hospitality, healthcare, or customer service. Their responsibilities often include assisting customers, handling basic administrative tasks, and ensuring smooth operations during busy weekend hours. Weekend SAs are essential for organizations that experience increased activity on weekends and need additional staff to maintain service quality and efficiency.
Weekend Sas jobs near you
Data Scientist

Data Scientist

Innotech

Houston, TX

$12K - $78K/yr

Full-time

Re-posted 2 days ago

Job description

we rely on insightful data to power our systems and solutions. We’re seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future.
 

Objectives of this role
 
  • Collaborate with product design and engineering teams to develop an understanding of needs
     
  • Research and devise innovative statistical models for data analysis
     
  • Communicate findings to all stakeholders
     
  • Enable smarter business processes by using analytics for meaningful insights
     
  • Keep current with technical and industry developments
     
Responsibilities
 
  • Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products
     
  • Execute analytical experiments to help solve problems across various domains and industries
     
  • Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
     
  • Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
     
  • Analyze data for trends and patterns, and interpret data with clear objectives in mind
     
  • Implement analytical models in production by collaborating with software developers and machine-learning engineers
    Required skills and qualifications
     
  • Seven or more years of experience in data science
     
  • Proficiency with data mining, mathematics, and statistical analysis
     
  • Advanced experience in pattern recognition and predictive modeling
     
  • Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS)
     
  • Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects