SAS Programmer Analyst

January 11, 2018

SAS Programmer Analyst

Start/End Dates: 1/29/2018 – 9/28/2018

Work Location: TORONTO, ON 


Job Description:

RESPONSIBILITIES INCLUDE (but are not limited to):

•             Data manipulations including the usage of basic standard SAS procedures and use of SAS Macros.

•             Working with large data (i.e., millions of records) from SAS and non-SAS (Sybase or Oracle or DB2 databases) data sources into a SAS environment and performing SAS data manipulations against the resulting sets.

•             Transform the resulting SAS datasets into specific output file formats and subsequently being able to manipulate the resulting text files with UNIX commands to include standard headers and trailers.

•             Automate applications including incorporating appropriate checks and controls.

•             Validate and test all code for accuracy and efficiency.

•             Assist in the development of solutions by recommending alternative solutions to technical problems.

•             Extracting, transforming and loading source data into the SAS environment from multiple sources including major DBMS and application transaction files.

•             Interacting with the HM, the immediate team, and some stakeholders (to get what their needs are, not always working with BAs)



•             5+ years of SAS programming experience including SAS Macros

•             Experience in extracting, transforming, and loading data into the SAS environment from multiple DBMS sources

•             Experience in building data management processes using SAS, SAS Macros, SQL, and Sybase

•             Background in building technical solutions based on business requirements

•             Great Communication Skills – able to gather some business requirements, process development, ideally, but not required



•             University degree*

•             Knowledge of Unix

•             Large data (large enterprise) exposure

•             FI experience in a technical area

•             Exposure to production environment (producing reports and/or automation)

•             Project management experience

•             Modeling analytics environment exposure

•             SAS Certification*



•             Determined

•             Detail-oriented

•             Forward thinking

•             Self-motivated

•             Analytical

•             Problem solver

•             Independent

•             Driven



 •            University degree in data science, computer science or a related field

•             SAS Certification is an added bonus but not mandatory

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