Power BI Consultant

New
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AspenView Technology PartnersBusiness intelligence
Must be based in the United States; candidates may be located in any U.S. state., Availability to work standard U.S. business hoursContractMiddle
Salary not disclosed
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Job Details

Experience
3+ years of relevant BI and data analytics experience
Required Skills
SQLMicrosoft Power BI

Requirements

  • Have 3+ years of relevant BI and data analytics experience, including significant hands-on Power BI work.
  • Demonstrate experience building executive dashboards for and presenting them to senior leadership.
  • Have advanced expertise with Power BI and DAX.
  • Have experience with SQL, Power Query/M, and Power BI Service.
  • Have strong data modeling experience and working knowledge of dimensional modeling and relational data structures.
  • Have hands-on experience implementing Row-Level Security and dynamic hierarchies.
  • Be able to profile, cleanse, and shape source data in Power Query.
  • Have experience working directly with U.S. clients and cross-functional technical teams.
  • Have client-facing communication and consulting skills, including the ability to explain technical concepts to senior business stakeholders.
  • Have a bachelor's degree in Computer Science, Information Systems, Analytics, or a related field, or equivalent practical experience.
  • Be available to work standard U.S. business hours and collaborate closely with client stakeholders.

Responsibilities

  • Work with client stakeholders to understand business, reporting, and analytics requirements.
  • Communicate findings and recommendations to technical and executive audiences.
  • Provide guidance and best practices for Power BI development and implementation.
  • Translate business requirements into Power BI solutions and data models.
  • Design, develop, and optimize Power BI dashboards, reports, and visualizations.
  • Develop DAX calculations and Power Query/M solutions.
  • Create and maintain dimensional data models and configure Row-Level Security and dynamic hierarchies.
  • Analyze and cleanse data, and troubleshoot data-quality and reporting issues.
  • Collaborate with technical and engineering teams on data integration, architecture, and reporting requirements.
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