Power BI Data Visualization Specialist

Booz Allen Hamilton•Usa, FL

19h•Onsite

About The Position

You’ll develop, implement, and support the usage of data visualization toolkit, configuration, deployment and usage. You’ll apply specific functional knowledge and working or general industry knowledge, and develop or contribute to solutions to a variety of problems of moderate scope and complexity. Work independently with some guidance, and may review or guide activities of more junior employees. If you are passionate about data visualization and designing scalable, innovative data solutions, this is an opportunity to drive meaningful impact in a modernized environment. Join us. The world can’t wait.

Requirements

2+ years of experience with Power BI data visualization, including with connectivity to Azure Synapse Analytics Services, SQL Data Warehouse, Azure Data Lake, or Azure Databricks
Experience with DAX queries and functions in Power BI, SQL, multi-dimensional data modeling, or data security
Experience building data visualizations with complex data
Ability to present findings from visualizations to technical and non-technical audiences
HS diploma or GED

Nice To Haves

Experience connecting Oracle and Amazon Web Services connections to Power BI
Experience building Power Apps or Workflows using Microsoft drag and drop tooling
Knowledge of Jira and Confluence
Knowledge of how Power BI fits into the larger Power Apps ecosystem
Ability to make essential strategic and technical improvements
Microsoft Certification such as Power BI Data Analyst Associate Certification

Responsibilities

Develop, implement, and support the usage of data visualization toolkit, configuration, deployment and usage.
Apply specific functional knowledge and working or general industry knowledge.
Develop or contribute to solutions to a variety of problems of moderate scope and complexity.
Work independently with some guidance, and may review or guide activities of more junior employees.
Design and map data models to shift raw data into meaningful insights while also working with data engineers to create performant models and data aggregations.
Present findings from visualizations to technical and non-technical audiences.