Overview
On Site
Accepts corp to corp applications
Contract - W2
Contract - 6 month(s)
Skills
SAS
Data Analyst
Job Details
Need SAS Data Analyst
SAS (Statistical Analysis Software) is an advanced analytics tool traditionally deployed on-premises
Duration : 6 months
Onsite in McLean VA
Your Impact:
Cultivate and manage relationships across multiple Single-Family departments, including Operations application or business process owners, Loan Advisor Strategic Delivery and Single-Family Data.
Interact and communicate effectively with key Business and IT partners at all levels.
Facilitate and prepare for meetings including creating agendas, develop meeting materials, scribe meeting minutes and outline action items and next steps.
Lead, support and prioritize multiple concurrent efforts in various capacities.
Continuously improve processes that streamline knowledge of data to understand impacts of change.
Prepare for meetings by establishing a clear objective, confirming attendee participation and creating meeting materials ahead of the discussion.
Clearly outline and guide other s data analysis approach and assumptions to verify efforts satisfy the objective and meet deliverable timelines.
Analyze, design, develop and execute tasks that meet the objective.
Provide support to application owners to bring data expertise from IT into the business.
Perform impact assessments and proposing issue resolution and process improvements.
Ensure deliverables are completed on time with accurate information requiring limited oversight.
Qualifications:
5+ years of experience in SAS data analysis, business process modeling, data management, or operations.
College degree or equivalent experience; advanced studies/degree preferred.
Understanding of Cloud technology (AWS) and data management (Data Lake, Datawarehouse)
Ability to operate as a self-motivated, pro-active, and result-driven problem solver with excellent analytical and communication skills.
Ability to understand and analyze IT business processes and data architecture diagrams.
Working knowledge of Microsoft Excel functions, SQL, JSON, XML, SAS, or Python
Keys to Success in this Role:
Have the ability to tell the story about the data and the end-to-end data lifecycle as it relates to customer impacts, including; data lineage, valid values, data transformations and downstream consumers within and across applications and services.
Continuously learn while partnering with others to overcome obstacles.
Demonstrate an ability to test and learn while taking calculated risks and managing expectations of how and when tasks will be completed.
Demonstrate an ability to learn, share knowledge, lead and motivate others.
Adept in working in a fast-paced, dynamic environment with diverse personalities.
Understand the business and our customers.
Have an attention to detail with an ability to clearly outline a task s objective, approach and results.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.