Overview
On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 6 Month(s)
Skills
Able to understand ETL code
analyzing Business Requirement Specifications (BRS)
Understanding of Unix
Job Details
*** Needed local to Mclean, VA ***
Senior ETL Data Analyst
6 Months Contract- Extension long term
Location : Onsite Mclean, VA Mon Fri
Must Have Qualifications:
- Must have experience analyzing Business Requirement Specifications (BRS) and ETL code
- Able to understand ETL code
- SQL quires
- Understanding of Unix.
- Development experience is preferred.
- DataStage -SAS is nice to have but not required
Job Description:
- To ensure a smooth transition with minimal disruption, we are looking for experienced Data Analysts who can identify critical system dependencies and assist in modernizing outdated data platforms and workflows.
- This position is ideal for candidates who are highly analytical, adept at working with large-scale enterprise systems, and possess a strong background in data mapping, ETL, and data warehousing.
Key Responsibilities:
- Partner with cross-functional teams to identify dependencies between applications and systems on the current CDW platform.
- Analyze and interpret Business Requirement Specifications (BRS) and ETL code to align with modernization objectives.
- Collaborate with stakeholders to define data requirements for Finance and Accounting systems.
- Create detailed mapping documents that outline data flows, transformations, and system interactions.
- Develop and validate complex SQL queries to support data analysis and migration efforts.
- Assist in mapping source to target tables/columns (Nexus to Finance apps) and define derivation logic as part of the modernization process.
- Ensure comprehensive documentation and traceability of all data lineage and mapping activities.
Required Qualifications:
- At least 5+ years of experience in data analysis, data warehousing, or related fields.
- Strong understanding of ETL processes with the ability to read and interpret ETL code.
- Practical experience or familiarity with tools such as DataStage, Informatica, SAS, and Python. Expertise in complex SQL for data analysis, validation, and script development.
- Strong ability to understanding of enterprise-scale systems and data environments and, create data mapping documents.
- Excellent analytical skills with a keen attention to detail.
- Strong communication and collaboration abilities.
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