Lead BI Engineer

4 Months ago • All levels
Software Development & Engineering

Job Description

The role of a Lead BI Engineer involves developing and maintaining interactive dashboards and reports using Tableau and Qlik (QlikView/Qlik Sense) to support business decision-making. This includes collaborating with stakeholders to gather requirements, translating them into effective data visualizations, and optimizing data models for high performance across large datasets. The engineer will integrate data from various sources like SQL, Excel, and APIs, perform data validation, and troubleshoot for accuracy. Responsibilities also include automating reporting processes, creating reusable templates, and providing end-user training and support for dashboard usage and self-service analytics. Staying updated with BI best practices and contributing to the continuous improvement of reporting standards is also key.
Good To Have:
  • Data validation and troubleshooting
  • End-user training and support
  • Stay updated with BI best practices
Must Have:
  • Tableau
  • SQL
  • QlikView/Qlik Sense
  • Advanced Excel
  • Tableau Prep
  • Develop and maintain dashboards
  • Collaborate with stakeholders
  • Optimize data models
  • Integrate data from various sources
  • Automate reporting processes

Add these skills to join the top 1% applicants for this job

team-management
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problem-solving
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Lead BI Engineer
    • Tableau, SQL, Tableau Prep, Advanced Excel, QlikView
Job requirements
    • Develop and maintain interactive dashboards and reports using Tableau and Qlik (QlikView/Qlik Sense) to support business decision-making. Collaborate with business stakeholders to gather requirements and translate them into effective data visualizations. Optimize data models and ensure high performance of dashboards across large data sets. Integrate data from various sources (e.g., SQL, Excel, APIs) into Tableau and Qlik applications. Conduct data validation and troubleshooting to ensure accuracy and reliability of insights. Automate reporting processes and create reusable templates for scalability. Provide end-user training and support for dashboard usage and self-service analytics. Stay updated with best practices in BI and contribute to the continuous improvement of reporting standards.

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