Analyst

SAS Analyst

Must Have Technical/Functional Skills SAS Programming, Python Programming, Unix Shell Scripting

Roles & Responsibilities Required Skills:

• 8+ years of experience in writing SAS codes, Base SAS programming, macro programming (SAS/BASE, SAS/MACRO, SAS/SQL) and connectivity to external data sources

• Experience in designing, developing and maintaining SAS applications in Linux environment

• Experience in extracting, loading, cleansing & manipulating data in a SAS environment

• Experience in debugging and troubleshooting SAS errors from SAS logs in Linux environment

• Proficiency to build, test and validate SAS Macros to aggregate data from SAS datasets for analysis

• Ability to analyze complex SAS codes and implement enhancements based on the business requirements

• Experience writing scalable code using python programming

• Design and develop data Ingestion processes using python programming

• Strong expertise in writing Unix Shell Scripts and troubleshooting errors in Linux environment

• Knowledge in data warehousing and ETL processes

• Knowledge in CICD processes and automation using Autosys scheduler

• Knowledge of agile (scrum) development methodology is a plus

• Strong development/automation skills

• Can-do attitude on solving complex business problems, good interpersonal and teamwork skills

• Possess great communication skills and must be able to directly work with business team to collect, analyze and put together appropriate requirements and solutions

Responsibilities:

• Write and debug SAS code to perform data manipulation, statistical analysis, and reporting tasks. This includes using SAS procedures (PROC's), macros, and other SAS tools to create custom solutions.

• Implement scalable, high-performance data pipelines to support complex data processing needs and enforce data governance policies, ensuring data quality, Integration to audit tools

• Identify opportunities for process improvements and contribute to optimization efforts individually

• Identify and resolve technical issues that arise during the SDLC

• Responsible for analyzing legacy SAS codes and processes to migrate them to new environment

• Analyze Current Model SAS code and convert SAS based pipelines to PySpark to execute on distributed ecosystems

Salary Range- $110,000-$130,000 a year

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