Overview
On Site
$60.0000 - $65.0000
Full Time
Skills
SAS
SQL
Python
business operations documentation
Job Details
Position Details:
Client | Financial Services |
Job Title | Data Analyst |
Duration | 3-6 Months Contract |
Location | Mclean,VA Pay Range: $60 - $65/hr |
The Company offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical Insurance
- Dental Insurance
- Vision Insurance
- 401(k) Retirement Plan
- Life Insurance
- Long-term Disability Insurance
- Short-term Disability Insurance
- Paid Parking/Public Transportation
- As APPLICABLE Days/Hours of Paid Time Off
- AS APPLICABLE Days/Hours of Paid Sick and Safe Time
- AS APPLICABLE Days/Hours of Paid Vacation Time
- AS APPLICABLE Weeks of Paid Parental Leave
- AS APPLICABLE Paid Holidays Annually
Data Analyst for Finance Application Modernization
We are embarking on a major initiative to modernize the Finance applications that are downstream to Single Family Corporate Data Warehouse. This involves a substantial effort to update our applications and systems. 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we are looking for experienced Data Analysts who can identify critical system dependencies and assist in modernizing outdated data platforms and workflows.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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