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Job Description

Primary Responsibilities

• Design and implement robust data pipelines using SAS Viya and SAS Data Integration Studio

• Lead migration initiatives from legacy data environments to SAS Viya cloud instances, including comprehensive data rationalization and modernization of existing algorithms for cloud-native computing architectures

• Develop advanced SAS programming solutions (Base SAS, SAS/STAT, SAS Macros, SAS/SQL) for complex data transformations

• Build statistical models and machine learning algorithms using SAS Enterprise Miner and SAS Visual Analytics

• Create automated ETL processes to extract, cleanse, and transform large datasets from diverse sources

• Implement data quality frameworks and governance standards to ensure accuracy and integrity

• Develop interactive dashboards and visualizations using SAS Visual Analytics and other BI tools

• Optimize data warehouse architecture and implement efficient data modeling principles

Secondary Responsibilities

• Create comprehensive reports and presentations to communicate analytical findings to stakeholders

• Collaborate with business analysts and data scientists to translate requirements into technical solutions

• Maintain and enhance existing SAS code libraries for efficiency and reusability

• Provide technical mentoring and knowledge transfer to junior team members

• Support data governance initiatives and compliance with industry regulations

• Implement data security protocols and access controls within SAS environments

• Document analytical processes and maintain comprehensive technical specifications

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 5+ years of hands-on experience in data management, data engineering, or analytics

• Extensive, proven experience with SAS Viya platform including SAS Enterprise Guide and SAS Data Integration Studio

• Expert-level SAS programming skills with focus on data manipulation, ETL processes, and statistical analysis

• Strong proficiency in SQL for querying and manipulating relational databases (Oracle, SQL Server, PostgreSQL)

• Experience with data warehousing concepts, dimensional modeling, and database optimization

• Strong scripting skills (Python, R, or advanced SAS macro programming)

• Understanding of statistical analysis, data mining, and machine learning techniques

• Experience with cloud platforms (Azure required, AWS/GCP beneficial)

• Knowledge of data visualization tools (SAS Visual Analytics, Tableau, Power BI)

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field

Must be eligible for Secret security clearance • SAS Global Certifications (Base Programming, Advanced Programming, Data Integration)

• Experience with SAS Visual Analytics and SAS Enterprise Miner

• Knowledge of machine learning frameworks and advanced statistical modeling

• Familiarity with big data technologies (Hadoop, Spark, NoSQL databases)

• Experience with version control systems (Git) and collaborative development practices

• Understanding of data privacy regulations and compliance frameworks

• Experience with the Department of Defense or similarly regulated environment.