Position Summary
The Senior Data Analyst – Transportation & Distribution is responsible for transforming transportation, warehousing, and supply chain data into actionable insights that improve service, operational performance, and cost efficiency. This role develops and maintains KPIs, dashboards, scorecards, forecasting models, and advanced analytics to identify trends, uncover root causes, and drive data-driven decision making across the logistics network. The position partners closely with business leaders to evaluate optimization opportunities, build business cases, quantify savings, and support the implementation of process and network improvements. Additionally, the analyst plays a key role in logistics technology initiatives by supporting data integration, master data management, system implementations, and reporting solutions that enhance visibility and operational effectiveness.
This is a remote role with the requirement of residing within the Untied States. If you are local to Mentor, OH, this position will be hybrid with the expectation of being onsite in Mentor, OH 3 days/week. Up to 15% domestic travel. This role is not eligible for Visa Sponsorship or H1B Transfer.
What You'll do as a Senior Data Analyst, Distribution and Transportation
- Collaborate with Transportation and Distribution leaders to establish and maintain a multi-year analytics roadmap that aligns business priorities with data, reporting, forecasting, and optimization capabilities to drive measurable operational and financial results.
- Analyze transportation, distribution, warehousing, and logistics performance data to identify cost savings, service improvements, capacity constraints, and operational optimization opportunities.
- Develop actionable business cases and recommendations by executing Transportation RFQ’s, evaluating network scenarios, transportation strategies, carrier performance, inventory positioning, and optimization opportunities.
- Present findings, recommendations, project updates, and realized business value to logistics leadership and key stakeholders, influencing strategic and operational decisions.
- Design, develop, and maintain executive dashboards, scorecards, and KPI’s using industry data visualization tools like Tableau & Power BI ensuring all stakeholders and users are properly training to drive adoption of new tools
- Monitor key transportation and distribution performance indicators, investigate performance gaps, drill into underlying operational data, and partner with stakeholders to implement corrective actions.
- Partner with Transportation, Distribution, Procurement, Operations, Finance, and Supply Chain teams to evaluate and execute carrier sourcing events, transportation RFQs, network optimization initiatives, and continuous improvement projects.
- Serve as the functional expert for Transportation Management System (TMS), Warehouse Management System (WMS), dashboards, and logistics-related data sources, ensuring data integrity, master data governance, and reporting accuracy.
- Collaborate with IT, Data Engineering, and Business Intelligence teams to define data requirements, improve data accessibility, support system integrations, and implement scalable analytics solutions.
- Identify, investigate, and resolve data quality, data integrity, master data, and process issues that impact operational execution, reporting accuracy, and decision-making capabilities.
- Research emerging logistics technologies, market trends, transportation best practices, and analytical capabilities to continuously improve performance, visibility, and operational effectiveness.
The Experience, Skills, and Abilities Needed
Required Experience
- Bachelor's Degree.
- 5+ years of experience in transportation, distribution, logistics, supply chain analytics, operations analytics, or a related analytical role.
- 5+ years of experience gathering, analyzing, and interpreting large datasets to identify operational improvement opportunities, cost savings initiatives, and business insights.
- 3+ years of experience developing and maintaining dashboards, scorecards, KPI reporting, and data visualizations using tools such as Tableau, Power BI, or similar business intelligence platforms.