Job title: SAS Data Analyst
SAS (Statistical Analysis Software) is an advanced analytics tool traditionally deployed on-premises
Duration : Longterm
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.
