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You will be updated with latest job alerts via emailSenior Power BI Developer
2 days onsite Monday and Thursday in Dallas Texas
H1 community is not allowed unfortunately. Only W2 consultants
6month
Hyper experienced (10 Years) Power BI developer. Looking for SME in BI for the enterprise. Need to be able to build data models using Kimball Methodology. Ideally this person is so easy to work with that they can come to them and say hey I want this visual how can I do it so theyll need to be approachable and be that person who can answer questions.
1. Understanding of Power BI Architecture (including Security and CI/CD) and Data Models
2. Expert knowledge of Data warehousing Fact & Dimension Tables
3. Be able to build Power BI dashboards should be top level
4. How to write queries
5. Knowledge of Azure
Soft skills are important Someone who is a technologist/continuous learner. Working directly with business leaders directly as the SME for Power BI within the enterprise.
Job Description
We are looking for a Senior BI Developer to join our team. Daisy Brand is modernizing its data platform and data visualization strategies from a traditional solution (SQL Server SSIS and Power BI) to a more modern cloud data platform using Azure SQL Managed Instance and Microsoft Fabric.
The ideal candidate will play a key role in orchestrating the transition to a modern data platform have a deep technical understanding of Power BI and possess strong business acumen to translate customer use cases into compelling and efficient visualization designs. This role will drive innovation enhance user experience and enable data democratization across our organization.
Key Responsibilities
Collaboration
Collaborate with subject matter experts often in ambiguous situations to determine business information and reporting requirements.
Foster improved alignment of technology initiatives with business strategies by building and maintaining relationships with technology teams and business partners.
Provide technical and architectural guidance to projects and teams to ensure effective reporting and analyses.
Data Visualization and Administration
Define design develop document and maintain Power BI data models and visualizations.
Implement advanced techniques using Power BI Premium XMLA Endpoints and Tabular Editor 3 to elevate our analytics capabilities.
Develop and maintain complex DAX Power Query formula language (M) and TSQL queries.
Stay ahead of data science trends and emerging tools and technologies to continually enhance frameworks processes and best practices.
Provide guidance on Power BI security user mapping and app deployment.
Maintain adherence to security and architectural standards as well as usability design principles.
Data Engineering
Must be able to create SSAS Tabular models for Power BI dashboard Creation. understanding of connectors from SSAS to Power BI
Work with various data sources such as SQL Server DataVerse Excel Azure SQL SharePoint Lists/Libraries API based data and unstructured data.
Oversee and conduct analysis design implementation and support of the company data warehouse which may include developing ETL routines using appropriate tools
Stay informed about new developments and technologies through continuous learning industry publications vendor contacts trainings etc.
Additional Skills & Qualifications
Required Qualifications
8 years relevant experience.
Thorough understanding of PowerBI architecture and capabilities such as CI/CD pipelines data modeling security architecture etc.
Experience with Azure SQL Database Azure SQL Managed Instance OnPremise SQL Server and Azure DevOps.
Strong knowledge of PowerBI dashboard development Data Visualization concepts ETL processes Data Architectures and Data Modeling.
Must have an analytical mind be a critical thinker and problem solver.
Excellent communication skills (verbal and written) and ability to effectively communicate with both business and technical teams.
Ability to deal with ambiguity and competing objectives in a fastpaced environment.
Proven experience working in a team oriented collaborative environment.
Preferred Skills
Familiarity with Azure Data Factory Azure Synapse and/or SSIS
Knowledge of Azure services including Azure Data Lake
Experience implementing API calls
Experience with manufacturing data
Knowledge of D365 Finance and Operations data
Full Time