Gathering and analyzing data, identifying underlying principles and turning data into information and analytics to assist senior management in operating more efficiently and effectively and drive business decisions
Translate stakeholder requirements into data-oriented system specifications and collaborate with system designers to implement improvement initiatives
Establish a catalogue of business terms, technical metadata, critical data elements, business rules, quality rules and their associations
Analyzing data and evaluating results to choose the best practices and solutions and participating in project and program management system enhancements
Understand engineering practices and processes and how these impact choices in data models and system architecture
Lead and support data quality management and quality metrics capability that will enable business compliance with Data Management standards.
Develop and provide support in creating business rules, data quality rules and applies data profiling.
Work with cross functional business unit stakeholders and data practitioners to gather, analyze and present critical data elements and its health status
Provide support to business to monitor, investigate, remediate and communicate data quality issues
Apply knowledge of end to end data flow and lineage from capture at source, to transform, to delivery and its business intent at each stage
Stakeholders this specialist will work collaboratively with include:
Asset Management Specialists
Data Management Specialists
IT System Architects
Tool used include Data Visualization (Power BI and Tableau and Alteryx), Data Quality Management (Informatica IDQ), MS Office (Access, Excel, PowerPoint and Word), and Database Query (SQL, Python), Snowflake, MDM tools.