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Data Warehouse Analyst in McLean, VA

This role is a Data Warehouse Analyst in McLean, VA, for 12 months, offering a pay rate of "unknown." Requires 5-7 years of experience, strong UAT, data analysis, documentation, and communication skills, with a focus on hospitality data.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 22, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
McLean, VA
🧠 - Skills detailed
#Data Warehouse #Documentation #UAT (User Acceptance Testing) #Agile #Data Analysis #BI (Business Intelligence) #Databases
Role description
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Job Title: Data Warehouse Analyst

Duration of project: 12 months

Location: McLean, VA

Description:

Provide support for data warehousing initiatives and join a focus/agile team in support of the development lifecycle (SDLC). The role needs to learn and understand specific domains of hospitality data and deliver the artifacts needed for SDLC with little support from the manager. Testing (UAT) data warehousing products to ensure reliability and accuracy of information loaded into the databases. Support production databases and investigate level two production issues that are moved to the focus team. Profiling new data sources or data files to document understanding of new data that is required to use to build new database products. Build and curate documentation such as source-to-target mapping documents to ensure the data warehousing documentation is in accordance with standards. Generate and prepare reports of data research or data analysis requests in support of business objectives.

Mid-Level position within field. Requires 5-7 years of experience in this discipline in order to conduct routine tasks with minimal support. Needs to take ownership and help the focus team make decisions in order to deliver the data products. Needs good communication and writing skills as there is daily collaboration with system teams, vendors, internal IT members, BI teams, and business teams.