Title – Sr. SAS Data Analyst
Location-McLean, VA and expected on-site 5 days/week
Duration –Contract
Must be local
We are seeking a highly skilled SAS Data Analyst to join our data and analytics team. The ideal candidate will have strong expertise in SAS programming, data extraction, transformation, analysis, and reporting. This role involves working with large datasets, performing statistical analysis, building automated data workflows, and delivering insights to support business decisions.
Key Responsibilities
- Develop, automate, and optimize SAS programs for data extraction, transformation, validation, and reporting.
- Analyze large and complex datasets using Base SAS, SAS SQL, SAS Macros, and advanced SAS procedures.
- Perform statistical analyses and create analytical models to support business objectives.
- Build and maintain dashboards, data summaries, and performance reports for stakeholders.
- Work closely with business teams to gather data requirements and translate them into analytical solutions.
- Validate data accuracy and ensure data quality throughout the analytics process.
- Prepare clear documentation of processes, datasets, and reporting logic.
- Collaborate with cross-functional teams (IT, Data Engineering, Business Units) to integrate SAS solutions with enterprise systems.
- Support ad-hoc analytical requests and provide insights through data mining and trend analysis.
Required Skills & Qualifications
- Bachelor’s degree in Data Analytics, Statistics, Computer Science, Mathematics, or a related field.
10 years of hands-on experience in SAS programming and data analysis.
- Strong proficiency in Base SAS, SAS SQL, SAS Macros, and SAS Enterprise Guide.
- Experience working with large datasets, relational databases, and data warehouses.
- Strong understanding of statistical methods, data validation, and quality checks.
- Experience with report creation and data visualization tools (SAS Visual Analytics, Power BI, Tableau, etc.) is a plus.
- Proficiency in writing complex SQL queries and working with databases such as SQL Server, Oracle, or Teradata.
- Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
- Experience in banking, financial services, healthcare, or pharma domains.
- Familiarity with Python, R, or other analytical tools.
- Experience with cloud platforms (AWS, GCP, Azure) is an added advantage.
- Knowledge of ETL workflows and data governance best practices.
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