Sr Business Intelligence Developer

As a Business Intelligence Analyst, you will apply your expertise in data modeling, data discovery, and bi product offering development to provide our business support departments with the necessary tools and data representations. Your contributions will enable us to increase organizational profit and meet our strategic goals.

Responsibilities:

• Continuously develops and maintains an understanding of Business Intelligence technology and architecture, including data warehousing, dimensional modeling, OLAP functionality, reporting tools, and other methods of information delivery.
• Develop & maintains expertise with MS PowerBI tool, stay updated with latest features and best practices.
• Develop database and/or data presentation solutions to deliver information to end-users accurately and efficiently.
• Analyze, understand, and document user needs to ensure accurate fulfillment of user story requests from internal business customers.
• Contribute to, and possibly lead, project teams that are developing or modifying highly complex information solutions.
• Administers & maintains the BI Portal, data warehouse, and existing BI solutions.
• Continuously develops expertise in the data and data models within the data warehouse, as well as an understanding of supported business domains.
• May assist architecture and data governance with data models, data dictionaries, and report glossaries.
• May conduct user interviews and end-user training sessions on how to use dashboards and reports.
• May mentor teammates on BI tools and methods.
• Conducts and may facilitate internal testing and user acceptance testing.

Required Qualifications:

• Bachelor’s degree or equivalent education/experience. Minimum of 5 years work experience.
• Strong understanding of BI concepts & tools.
• Demonstrated ability to write SQL/TSQL queries to retrieve/modify data
• Previous experience with BIDS/MSBI Stack.
• Proven ability to work with less senior staff for guidance in solution delivery
• Ability to abstract a concept into a series of lifecycle components and events.
• Significant experience developing physical dimensional models, OLAP processes or data visualizations or significant
• experience in data modeling, data discovery and the application of data to solve business problems
• Proven problem solving ability and a willingness to think “outside-the-box”.
• Good sense of humor.