Data management sap master data creation/maintenance; create/document data processes; data analysis and Data Profiling; quality and integrity data benchmarking; document/maintain data dictionary; communication and interaction with multiple levels of your organization.

More Uses of the Data Profiling Toolkit:

  • Manage work with the Data Extract Lead to communicate requirements for additional/subsequent data extracts as part of the data quality/profiling process.
  • Arrange that your organization assess the quality and consistency of data (Data Profiling) stored in a source database and develop recommendations for data cleansing based upon data warehouse business rules.
  • Establish that your organization analyzes business data domains and participates in recommendations of creative solutions; follows a logical process and helps prepare alternatives in a way that enables decision making.
  • Identify project risks and impediments, notify management, and proactively work with other members of the team to complete assigned tasks as defined by project scope, timelines, and budgets.
  • Lead leadership skills and proven success in managing and motivating teams, create an atmosphere of trust, and encourage improvement and innovation.
  • Involve in data analysis, data validation, data modeling, Data Profiling, data verification, data mapping, data loading, data warehousing/etl testing and bi reporting testing.
  • Drive: exposure to tools used to support data management, specifically master data management and metadata management, Data Profiling, and data quality.
  • Manage advanced critical thinking and problem solving skills to manage highly complex information, assess problems, and develop effective solutions.
  • Be accountable for applying data governance concepts, principles and framework to execute Data Profiling, data quality, data catalog, metadata management, and sensitive data management activities.
  • Collaborate with various Business, Operations, Applications and Analytics teams to ensure adherence to enterprise data standards and data architecture principles.
  • Manage work on project teams to translate business requirements into system qualities that lead to repeatable and executable design strategies and patterns.
  • Facilitate the development and implementation of data quality standards, data protection standards and adoption requirements across the enterprise.
  • Oversee: design and develop data modelling, database planning, database design and Data Profiling, design, develop and implement etl mapping and stored procedures.
  • Establish that your organization supports the learning and discovery of data management standards, processes and technology by sharing best practices with others for the efficient use of data management processes and technologies.
  • Be accountable for serving as the primary knowledge source and point of escalation for business users for data governance, quality, retention, and protection issues.
  • Ensure you understand business and product needs and be able to perform Data Profiling; interpret and report on results to demonstrate quality or surface possible data integrity issues.
  • Develop: Data Profiling, scorecards and understanding data gaps and interaction with data stewards and business smes and apply business and data transformation rules.
  • Formulate: closely work with the bi and data engineers and business teams to ensure the effective translation of business and technical requirements into the logical, physical and conceptual data models for your data warehouse to enable self service bi.
  • Perform rigorous Data Profiling on large, complex data sets and provide insights into data quality issues, and recommendations on corrective/preventive actions based on findings to non technical stakeholders.
  • Confirm you lead users through data governance concepts, benefits of policies and procedures and ensure adoption and adherence to the enterprise data governance framework.
  • Be accountable for implementing data warehouses, data collection systems, data analytics and other strategies that optimize business intelligence and analytical efficiency and quality.
  • Lead the use of Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing and delivering enterprise data asset solutions.
  • Ensure clients data is profiled to identify pii and other data attributes for security, understand content and opportunities to improve it with standards.
  • Be accountable for utilizing insights from Data Profiling reports and business use cases to help define processing decisions, source to target mappings, and integration workflows.
  • Systematize: design and develop data validation processes, perform data analysis and profiling to identify data gaps using sap software data quality and Data Profiling tools to rectify data redundancies and anomalies.

 

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