Senior Power BI Developer - Hybrid Data Analytics Expert

Ledgent Technology

Los Angeles (CA)

Hybrid

USD 140,000 - 160,000

Full time

4 days ago
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Job summary

Ledgent Technology in Pasadena, CA seeks an experienced Power BI Developer / BI Analyst to design, develop, and optimize reporting, analytics, and data integration using Power BI, Azure Synapse, Microsoft Fabric, and Power Automate. You will build dashboards, manage data pipelines, implement data models, and collaborate with stakeholders to deliver insights that drive business decisions.

Strong SQL skills, data warehousing knowledge, and the ability to translate technical concepts for

Qualifications

  • Bachelor's degree in a relevant field.
  • 5+ years of BI/Data Analytics experience with Power BI.
  • Strong SQL and data modeling capabilities.
  • Experience with ETL, data migration, and data integration.
  • Proficient in creating impactful visualizations and dashboards.
  • Excellent communication and collaboration with stakeholders.

Responsibilities

  • Design, develop, publish, and maintain Power BI dashboards and reports.
  • Build and optimize data pipelines into Azure Synapse environments.
  • Develop data integration solutions using Fabric and Synapse.
  • Create scalable data models, datasets, and reporting within Power BI.
  • Automate processes using Power Automate to improve efficiency.
  • Collaborate with stakeholders to gather requirements and deliver analytics.

Skills

Power BI
SQL
Data visualization
Data analytics
Communication
Problem solving
Teamwork
Big data
Data governance
Analytical thinking

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

Microsoft Fabric
Azure Synapse
Power Automate
Power Query
DAX

Job description

Ledgent Technology in Pasadena, CA seeks an experienced Power BI Developer / BI Analyst to design, develop, and optimize reporting, analytics, and data integration using Power BI, Azure Synapse, Microsoft Fabric, and Power Automate. You will build dashboards, manage data pipelines, implement data models, and collaborate with stakeholders to deliver insights that drive business decisions.

Strong SQL skills, data warehousing knowledge, and the ability to translate technical concepts for

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