Project Description: Creating and assigning new data values and fields to current and historical data going back to 1984. Total records reviewed and edited will be over 350K records with up to 280 fields. The objective is to consolidate and normalize data from various databases to create one database solution to allow for more accurate and efficient reporting. Once the (more)

The Business Intelligence Associate Analyst supports the Data Management Organization (DMO) Go To Market Baseline Customer Team by managing the governance of basic customer master data. The Analyst also supports the quality review of account level detail to deliver timely customer master data creates and updates to the Frito Lay Legacy systems. The DMO Master Data processes executed to support (more)

The Datawarehouse Senior Analyst will be part of the team responsible for activities involved with performing development and support of the Frito-Lay North American Sales Datawarehouse (SDW) & Frito-Lay Datawarehouse (FLW) Datawarehouse Application. This involves acquiring data from its sources and interfacing the data to SDW & FLW in support of the enterprise agenda. Will be responsible for driving analysis, (more)

Our client is a super high-visibility online travel services company seeking an Operations Admin to provide support for all of the client's extensive externally connected properties. Assignment to include troubleshooting and diagnosing technical support issues, ensuring that hotel partners have proper connectivity, running and reviewing system and vendor reports to determine system issues, and to ultimately provide implementation, launch, and (more)

Data Quality/Data Management Manager (USA)-709681 Description Capital One's Auto Finance Data Stewardship team is looking for a person with influencing abilities to lead the organization's Business Intelligence data stewards. The right person will engage in high impact technology projects to provide subject matter expertise with respect to data architecture, data governance, data quality, potential impacts of data decisions, and the (more)