BI Manager

Visvero

  • Pittsburgh, Pennsylvania
  • 30+ days ago

    Highlights

    Analyze trends, identify root causes of issues, and recommend actionable solutions across transportation, warehousing, and last-mile logistics functions. Partner with IT and data engineering teams to ensure data integrity and system integration from multiple logistics and supply chain platforms.

    Numbers & Facts

    LocationPittsburgh, Pennsylvania

    Description

    • Lead the design, development, and deployment of Power BI dashboards and reports to provide clear insights into operational, financial, and customer performance.
    • Collaborate closely with C-level executives to gather requirements, present insights, and support strategic decision-making.
    • Oversee end-to-end business intelligence lifecycle, including data gathering, modeling, visualization, and performance tuning.
    • Act as a liaison between business stakeholders and technical teams to ensure alignment on goals and deliverables.
    • Analyze trends, identify root causes of issues, and recommend actionable solutions across transportation, warehousing, and last-mile logistics functions.
    • Manage and mentor a team of BI developers and analysts.
    • Partner with IT and data engineering teams to ensure data integrity and system integration from multiple logistics and supply chain platforms.
    • Establish KPIs and develop performance tracking frameworks for 3PL partners and internal logistics teams.
    • Drive data governance, standardization, and quality control processes to ensure reliable reporting and analysis.


    Requirements

    • Bachelor’s or Master’s degree in Business Analytics, Information Systems, Data Science, Logistics, or a related field.
    • Experience in BI, data analysis, or business analysis, with managerial or lead role.
    • Strong experience in developing reports and dashboards using Power BI.
    • Proven ability to communicate technical findings clearly and effectively with C-level stakeholders.
    • Strong analytical and problem-solving skills with a keen business acumen.
    • Experience with data warehousing concepts and working with large datasets.
    • Excellent leadership, communication, and stakeholder management skills.


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