Power BI Lead: Data Dashboards & Analytics

Quantum Technologies. LLC

Weehawken (NJ)

On-site

USD 100,000 - 150,000

Full time

16 hours ago
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Job summary

Quantum Technologies LLC in Weehawken, NJ seeks an experienced Power BI Developer to design and maintain dashboards, optimize data models, and translate business requirements into scalable BI solutions.

You will collaborate with stakeholders, write SQL for data extraction, implement DAX calculations, ensure performance and data quality, and lead BI best practices on cross-functional projects.

Qualifications

  • Hands-on experience with Power BI, DAX, SQL, and data modeling.
  • Ability to translate business requirements into technical specifications.
  • Experience in Supply Chain or Integrated Operations is highly preferred.
  • Engage with stakeholders to gather, analyze, and document requirements.

Responsibilities

  • Engage with business stakeholders to gather, analyze, and document business requirements.
  • Translate business needs into high-level technical specs for BI and analytics.
  • Design, develop, and maintain Power BI dashboards and reports.
  • Build data models and DAX calculations for optimized reporting.
  • Write SQL queries for data extraction, transformation, and validation.
  • Coordinate with Power BI developers and analysts for quality deliverables.
  • Track milestones, timelines, deliverables, and progress.
  • Lead and guide development teams while ensuring BI best practices.
  • Collaborate with cross-functional teams to align BI with business objectives.
  • Ensure data accuracy, dashboard performance, and reporting standards.

Skills

Power BI
DAX
SQL
Data modeling
Stakeholder engagement
Requirements gathering
BI best practices
Leadership

Tools

Power BI
DAX
SQL
Data modeling

Job description

Quantum Technologies LLC in Weehawken, NJ seeks an experienced Power BI Developer to design and maintain dashboards, optimize data models, and translate business requirements into scalable BI solutions.

You will collaborate with stakeholders, write SQL for data extraction, implement DAX calculations, ensure performance and data quality, and lead BI best practices on cross-functional projects.

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