SAS analytics consultants and statistical programmers

SAS analytics consultants turn business reporting requirements into maintainable programs and agreed calculation rules. Bring them in when inconsistent measures or manual preparation make recurring analysis difficult to trust.

Using Base SAS and PROC SQL, they trace source data through reporting logic and reconcile outputs against business definitions. Work can include reviewing existing analytics code, correcting joins, documenting metric definitions and automating recurring reports. Requirements assessment helps distinguish data-quality issues from errors in calculations before changes reach production.

SAS statistical programmers implement analysis plans and produce reproducible outputs for review. They translate agreed statistical methods into code, with explicit handling of missing values and population definitions.

• Analysis programming: Prepare analysis datasets and implement regression or survival analysis using procedures such as PROC LOGISTIC and PROC PHREG.
• Output validation: Independently check calculations and reconcile tables against source datasets. Document assumptions and investigate discrepancies before results are accepted.

Code review can also identify macro changes that reduce repeated programming across related analyses.

SAS Viya cloud specialists configure Kubernetes-based environments and investigate platform constraints that affect analytics workloads. Scope can include infrastructure assessment and installation support on Azure Kubernetes Service or Amazon EKS, subject to the selected SAS release's support requirements.

Specialists configure identity integration and access permissions, then test CAS workloads against available compute and storage. They can also review monitoring and backup arrangements with your infrastructure engineers, so platform changes account for operational requirements as well as installation prerequisites.

Keep established SAS workloads maintainable as data sources and platform requirements change. SAS developers support scheduled processing and investigate failures across application code and database connections.

• Integration and production support: Maintain SAS/ACCESS connections and batch schedules. Diagnose failed jobs or slow queries, then test corrections against expected outputs.
• SAS 9 to Viya transition: Assess code compatibility and dependencies before adapting programs. Compare results and execution behaviour in the target environment, with rollback requirements agreed before production changes.