Director, Operations Analytics

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DSV - Global transport and logistics
In 1976, ten independent hauliers joined forces and founded DSV in Denmark. Since then, DSV has evolved to become the world's 3rd largest supplier of global solutions within transport and logistics. Today, we add value to our customers' entire supply chain by transporting, storing, packaging, re-packaging, processing and clearing all types of goods. We work every day from our many offices in more than 80 countries to ensure a steady supply of goods to production lines, outlets, stores and consumers all over the world.

Our reach is global yet our presence is local and close to our customers. Read more at

Location:

USA - VIRTUAL - US Ohio

Division:
Solutions
Job Posting

Title:

Director, Operations Analytics - 116836
Time Type:
Full Time

Preferred Locations:
Cincinnati, OH, Denver, CO, Salt Lake City, UT, Chicago, IL, Dallas, TX

The Director of Operations Analytics will lead the development and execution of a best-in-class analytics function supporting DSV's North American Contract Logistics network. This role is responsible for transforming operational data into actionable insights that drive performance, scalability, and continuous improvement across a multi-site 3PL network.

This leader will manage a team of business analysts and influence a broad set of cross-functional stakeholders, including site leadership, regional operations, engineering, and account management teams.

Key Responsibilities

Leadership & Organizational Impact

• Lead, mentor, and develop a team of business analysts (direct reports), while influencing analytics adoption across site-level and regional operations leadership
• Serve as a strategic partner to operations, engineering, and commercial leadership to drive data-informed decision making
• Establish governance, prioritization, and standardization of analytics across the network

Reporting, Analytics & Score carding

• Design, develop, and maintain actionable reporting suites and key performance indicator (KPI) scorecards for:
  • Site-level operational performance (productivity, service, cost)
  • Customer/account-level reporting (SLAs, KPIs, contractual metrics)
• Ensure reporting is standardized, scalable, and aligned with executive-level visibility
• Translate complex data into clear insights and recommendations for Operations leadership, solutions design stakeholders, as well as customer-facing stakeholders

Labor & Capacity Planning

• Establish and continuously improve labor planning methodologies, including:
  • Volume forecasting and workload modeling, collaborating with external customers/partners as well as developing and utilizing homegrown forecasting methods
  • Staffing plans (direct/indirect labor)
  • Productivity benchmarking and engineered labor standards
• Develop tools and frameworks to support capacity planning across a multi-node distribution network
• Partner with operations and engineering to optimize throughput, utilization, and cost

Continuous Improvement (CI) & Network Optimization

• Lead a network-wide continuous improvement program, leveraging data to identify and prioritize opportunities
• Drive initiatives across:
  • Productivity improvement
  • Cost reduction
  • Service enhancement
  • Solutions design support
• Implement structured CI methodologies (SMART, Lean, Six Sigma, Kaizen) supported by necessary analytics tools and resources
• Track and report realized benefits from CI initiatives

Technology & Data Enablement

• Partner with IT and engineering to enhance data infrastructure and analytics capabilities
• Drive adoption of BI tools and self-service analytics across the organization
• Ensure alignment between WMS and various other systems, and reporting outputs

Qualifications

Education & Experience

• Bachelor's degree in International, Supply Chain, Logistics, Business, or related field (preferred)
• 10-15+ years in supply chain, logistics, or operations analytics (3PL experience strongly preferred)
• 5+ years leading analytics or business intelligence teams, or relevant functional teams
• Experience in large-scale, multi-site distribution or contract logistics environments
• Proven track record building analytics functions and influencing operations leadership
• Experience in customer-facing roles

Technical & Functional Skills

• Advanced Excel (modeling, large dataset manipulation)
• Working experience in Business Intelligence tools (Power BI, Tableau, Looker, etc.)
• Strong familiarity with WMS platforms
• Experience with SQL, data modeling, and data visualization best practices
• Knowledge of labor management systems (LMS) and engineered labor standards
• Understanding of supply chain KPIs and 3PL cost-to-serve models

Travel

• Expected 20-30% travel

For…