1. Experience in designing and developing enterprise and departmental business intelligence, data warehousing, and reporting solutions while working with business users and stakeholders. This includes business and technical requirements documentation and analysis, ETL/ELT development, implementation of data quality initiatives.
2. Experience with the design, analysis, and interpretation of projects from data requirement gathering to data processing, data mapping and data modeling.
3. Experience mapping relationships between databases and reporting systems. Illustrates data relationships across multiple databases, with the ability to understand and explain relationships to users of the information.
4. Experience with developing and maintaining a data dictionary, Key Performance Indicators, and validated measures.
5. Experience meeting data requests from internal and external stakeholders and addressing gaps in existing data quality.
6. Experience with data acquisition and distribution strategies and reporting processes to ensure the systematic, efficient, and reliable collection and distribution of data.
7. Experience in accessing, integrating, and cleaning data from internal and external sources to assess the impact and activity outcomes of programs.
8. Experience presenting data sets in a manner that is user-friendly and facilitates learning/understanding at various levels (i.e., Program staff, Supervisors, Executive and Directors).
9. Experience in conducting all reporting and data mining in compliance with privacy, confidentiality and proprietary regulations and policies.
10.Familiar with data engineering concepts and practices, including a very strong SQL skill.
11. Knowledge of enterprise BI processes along with tools such as SQL Server, MS Azure, Tableau, and PowerBI.
12. Knowledge of Data Quality tools, technology, theories, concepts, and practices; federal/state/or other Quality Assurance (QA) standards or regulations, data collection and analysis concepts and practices.