Locals Only Urgent Need Data Analyst

GC and Citizens Only

Position Title: Data Analyst

Location: Washington, DC (Locals Only)

Duration: 6 Months+

Tasks:

In support of 2016SOW038 CCTI Audit & Balancing project, the Data Analyst role will have the following responsibilities:

• Identifies, analyzes, formulates, documents, and communicates business data requirements for the following:
• Deep dives into source to target mapping documentation and then confirmation of the data flows throughout the CCTI Enterprise Data Warehouse (EDW)
• Business metrics to support post-process reconciliation routines to balance EDW source and target data
• Data analysis for Post-process queries to perform balancing and reconciliation between source data, control files for source data, and data loaded into the EDW
• Dash-boarding and Canned Reporting to support formal monitoring of reconciliation exceptions throughout the EDW load process
• Elaboration of standard operating procedures for formal monitoring of audit, balancing and reconciliation processes
• Develop complex SQL for generating counts and other aggregate controls for use in post-load audit and balancing as data flows from the source system, through the staging tables and into the data warehouse tables.
• Verifies the delivered system(s)/audit routines against the functional and non-functional requirements and specifications. Authors a test plan and test cases, defines test data, executes tests, communicates test progress and results, and maintains a requirements traceability matrix (RTM).
• Properly addresses and balances long-term needs with near-term project iteration requirements and timing. Effectively collaborates with subject matter experts, project lead, analysts, and developers to understand needs and to communicate detailed requirements and specifications and their benefits.
• Works closely with project lead to map out assigned activities to a well-thought out level of effort, plan, and schedule.
• Works closely with project lead, data architect, and solution architect to understand data architecture, data models, and solution architecture and to align and trace to requirements, source data profiles, gaps in data and data integration processing rules.