SAS Data Analyst

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

SAS
Data Analyst
SQL

Job Details

Looking for a SAS Data Analyst for 6 months+ contract, Onsite, McLean, VA

What You ll Bring with You:

5+ years in a Data Analytics, Data Mining, Data Science role with SAS
Proficiency in SQL.
Must have experience working with Agile teams and able to create business and technical user stories in Jira.
Prefer resources who have Freddie Mac/Fannie Mae experience.
Familiarity with working on the command line, able to execute python scrips, navigate to log directories to analyse logs.
Strong analytical skills including the ability to quickly understand a variety of disparate data sources, distill complex data into analysis that drive decisions, and apply business knowledge to derive valuable insights
Ability to understand and translate non-technical business requirements into technical rules or methodologies
Ability to quickly learn business operations and processes
Strong communication skills and ability to articulate complex material to a diverse audience
Ability to be flexible and adjust plans quickly to meet changing business needs
Experience coordinating multiple tasks within aggressive time frames

What You ll Get to Do:

Participate in the build out of strategic data platforms which entails collaboration with our business and technology partners to build out a robust, scalable data environment
Partner with client analytic groups to understand business specific data sources, data elements, relationships, and their applicability along with SAS
Translate high level business requirements into fully realized, end-to-end analytical solutions
Identify opportunities & applications for advanced analytics and reporting across the business-aligned testing teams
Partner with clients to expand machine learning, natural language processing, and automation capabilities
Conduct exploratory analysis to achieve a strong foundational knowledge of specific business areas
Apply statistical and mathematical techniques for risk analysis using tools such as Python, R, and SQL
Streamline processes and reporting using Python and VBA automation
Collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals

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