- 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.
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.