Coordinate with data custodians, data stewards and other support teams regarding app operations, data quality in the app, data demand / consumption requirements, and open data quality exceptions / issues.

More Uses of the Data Quality Tools Toolkit:

  • Configure business entities, transformations, and views to reflect data model edits and behavior.
  • Organize: clear communication to stakeholders, business analysts, and product management.
  • Confirm your project develops technical specifications and project plans to ensure development activities proceed in accordance with project deliverables and time frames.
  • Solidify expertise with Data Quality Tools for data profiling, cleansing and standardization.
  • Be accountable for working knowledge with Agile methodology, Metadata and Data Quality Tools.
  • Be accountable for outstanding organizational, communication, and interpersonal skills.
  • Pilot: collaboration with enterprise data management business analysts to spot patterns and issues in the data that require resolution.
  • Use the web based administration console to create user accounts privileges for each user and also to create database connections.
  • Facilitate a consistent and organized flow of information during projects.
  • Drive communication and clarity across the team and to stakeholders.
  • Coordinate: ready to try and take on new technologies, ideas, and/or engineering challenges.
  • Initiate: collaboration with the enterprise data engineering team for ETL adjustments and data mapping.
  • Analyze and organize the gathered information to understand and implement project requirements.
  • Be accountable for communicating technical information means translating business requirements into technical plans and translating technical terms into business requirements and actions.
  • Utilize data profiling and Data Quality Tools to uncover and determine root causes of data quality issue.
  • Ensure development and deployment proceeds in accordance with specifications and timeframes.
  • Troubleshoot MDM system related issues and configurations with vendor support teams.
  • Oversee provision of quality data from upstream data sources into the APP and from the APP to downstream consumers.
  • Navigate steer your efforts to utilize Metadata management tools, Data Quality Tools, etc to operationalize and scale your data governance capabilities.
  • Ensure you fully understand and appreciate that things need to be tested out and moved through a multi environment deployment process with engineering rigor.
  • Provide advice on best practices and approaches to technology teams and internal business clients.
  • Do research on product features, use cases, interviewing people about business requirements and creating specifications for projects.
  • Analyze source data needed for data enablement and analytics solutions.
  • Coordinate with process owners and data stewards on potential process enhancements.
  • Methodize: regularly provided timely status updates to management and stakeholders.
  • Determine and enforce exit criteria through the different development phases.
  • Prepare and present analytics use cases and solution stories to stake holders.
  • Establish: preventive and detective in the app with support from data custodian.
  • Standardize: review requirements and verify controls are in accordance with the trusted sources methodology, with support from data stewards and data custodians.
  • Push forward with replace steer your efforts to utilize Metadata management tools, Data Quality Tools, etc to operationalize and scale your data governance capabilities.

 

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