Inficare
Business Intelligence Consultant : XX0% Remote : CXChr or W2hr
Inficare, Sterling, Virginia, United States, 22170
Business Intelligence Consultant
with Azure
Location: Virginia ( 1X0% Remote)
Job type:
CXC-XXXX/hr or W2-XXXX/hr
JD:
Versed in Business Intelligence and data analysis software systems and concepts.
Architect/Developer should have strong technical experience in data analysis, business intelligence, and/or data science.
This includes ability to define and document requirements, including data flows and diagrams.
Able to provide application analysis and data modeling design support to collect and distribute data; assist with query and reporting analysis to access data warehouses and archives This includes the ability to work with data in all stages of data processing including ETL, denormalization of data, data cleansing etc. Must have an understanding of a variety of data stores, databases, data warehouses, and data lake houses. Should possess ability to work with a variety of software to include but not limited to SQL Server Integration Services, Azure Data Factory, Microsoft SQL Server Reporting Services, Data studio, Databricks and can work with a variety of languages and data formats such as parquet and json. Knowlege of Machine Learning modeling and AI prompt engineering. Able to work environments where multiple data systems are involved and would be required to help make sharing data between these systems possible.
with Azure
Location: Virginia ( 1X0% Remote)
Job type:
CXC-XXXX/hr or W2-XXXX/hr
JD:
Versed in Business Intelligence and data analysis software systems and concepts.
Architect/Developer should have strong technical experience in data analysis, business intelligence, and/or data science.
This includes ability to define and document requirements, including data flows and diagrams.
Able to provide application analysis and data modeling design support to collect and distribute data; assist with query and reporting analysis to access data warehouses and archives This includes the ability to work with data in all stages of data processing including ETL, denormalization of data, data cleansing etc. Must have an understanding of a variety of data stores, databases, data warehouses, and data lake houses. Should possess ability to work with a variety of software to include but not limited to SQL Server Integration Services, Azure Data Factory, Microsoft SQL Server Reporting Services, Data studio, Databricks and can work with a variety of languages and data formats such as parquet and json. Knowlege of Machine Learning modeling and AI prompt engineering. Able to work environments where multiple data systems are involved and would be required to help make sharing data between these systems possible.