Strong analytic background, good communication skills, ability to work in a team environment, willingness to learn how data is connected from a business perspective, advanced MS-excel experience. Sharp attention to detail and willingness to research and investigate results to ensure accuracy. Knowledge of SQL and experience with data wrangling tools. Ability to learn data blending and visualization tools such as Alteryx, Tableau, Power BI.
Experience with SQL and experience with large, complex data sets.
Experience with data profiling and quality assessment
Ability to learn how to use data tools, Alteryx, Tableau Prep or other ETL tools
Demonstrated experience working with front-end application and its data extraction, data warehouses, analytical queries, and XML functions
Demonstrated experience using Teradata Studio and SQL Developer tools for data load and retrieval
Ability to engage with various audiences /skill sets to understand and define requirements for data service requests.
Ensure reference data, metadata management, business semantics, data modeling and metadata workflow management, data archival and other regulatory requirements are met.
Ensure data privacy and security needs are well defined and implemented.
Collaborate with Data Governance and support their objective with data architecture and delivery oversight.
Contribute in the development of data strategy, data architecture and associated procedures.
Apply strong data architecture and data management best practices across the end-to-end implementation. Document data integration standards and approach across enterprise-wide applications and data provider platform and sources systems.
Ensure and document data architecture artifacts with industry best practice. Provide data architecture oversight and guidance to the project teams.