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Location: McLean, Virginia (VA)
Contract Type: C2C
Posted: 3 days ago
Closed Date: 12/15/2025
Skills: SAS scripting, SQL
Visa Type: Any Visa

Job Title: Senior SAS Data Analyst

Location: McLean, VA

Work Type: Onsite

Except : opt/cpt

Need PP# For Submission


Job Description


We are seeking a highly skilled Senior SAS Data Analyst to support analytics, reporting, data validation, and pre-demo preparation activities. The ideal candidate will have strong hands-on experience with SAS scriptingSQL, and data analysis, and the ability to collaborate closely with business stakeholders, including Product Owners.

Key Responsibilities


  • Develop, write, and optimize SAS scripts to extract, transform, and analyze data.

  • Write and execute complex SQL queries for data profiling, validation, and reporting.

  • Perform detailed data analysis to identify trends, anomalies, and insights.

  • Support and conduct pre-demo activities, including data preparation and validation.

  • Execute functional and data testing to ensure accuracy and quality of deliverables.

  • Work closely with the Product Owner, business teams, and technical teams to understand requirements and deliver insights.

  • Assist in improving existing processes, reporting frameworks, and data quality checks.

  • Prepare documentation, data dictionaries, and analysis reports as needed.

Required Skills & Experience


  • 7–10+ years of experience as a SAS Data Analyst or similar role.

  • Strong hands-on expertise in SAS (Base, Macro, SQL).

  • Solid experience with SQL and working with large, complex data sets.

  • Proven ability in data analysis, validation, and interpretation.

  • Prior experience supporting demos, UAT, and testing cycles.

  • Strong communication skills with the ability to work closely with Product Owners and cross-functional teams.

  • Experience in Agile environments is a plus.

  • Bachelor’s degree in Computer Science, Statistics, Data Science, or related field preferred.

Nice to Have


  • Experience in financial services, banking, or credit domain.

  • Knowledge of data visualization or reporting tools (Tableau, Power BI, etc.).

  • SAS certification(s).