Director of Finance, Data Analytics

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $127k - $156k / year

⏰ Full Time

🔴 Lead

📉 Data Analyst

👻 Ghost score 0%

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DSV - Global Transport and Logistics

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1976

🚘 Automotive

🏥 Healthcare

💼 Consulting

Automotive • Healthcare • Consulting

DSV - Global Transport and Logistics is a global freight forwarding and logistics company providing air, sea, road and rail transport, contract logistics, warehousing and value-added supply-chain services. It operates a large worldwide network of offices and logistics facilities, offers digital tools and connectivity (myDSV, tracking, APIs/EDI) for booking and shipment visibility, and serves industry verticals such as healthcare, automotive, aerospace and consumer goods while pursuing sustainability and innovation initiatives.

📋 Description

• Own the finance data warehouse, data architecture, and data models supporting planning, reporting, and analytics • Design, build, and maintain scalable data models integrating ERP, billing, operational, labor, and customer data • Develop and maintain SQL-based ETL/ELT pipelines to ingest, transform, and validate source-system data • Establish data governance standards, data definitions, master data, access controls, data quality checks, and general-ledger reconciliation • Partner with IT and Enterprise Data teams on platform decisions, security, environment management, and performance optimization • Lead the finance BI and reporting strategy and roadmap • Design executive dashboards and KPI frameworks covering P&L, cost-to-serve, labor productivity, margin, and cash metrics • Standardize reporting and metrics across customer accounts and drive self-service analytics adoption • Build and own automated, driver-based forecasting and financial planning models • Automate ERP and data-warehouse reporting, including actual-versus-plan and forecast variance reporting • Develop predictive and statistical models for volume, revenue, and cost-driver forecasting • Support annual budgeting, quarterly reforecasting, and month-end close cycles with reconciled, auditable data • Lead cross-functional finance data and systems programs from scoping through delivery • Manage the finance data and automation roadmap, project charters, requirements, timelines, risks, issues, and status reporting • Coordinate Finance, Operations, IT, vendors, and consultants without direct authority • Lead system implementations, integrations, enhancements, UAT, cutover, and post-go-live support • Identify and eliminate manual, broken, and unnecessary finance processes • Automate accruals, invoice uploads, and billing reconciliations • Measure automation value through hours saved, error reduction, cycle-time improvement, and cost savings • Evaluate and recommend cloud data, workflow automation, and AI/ML technologies • Advise Finance and Operations leadership on data, analytics, and technology strategy • Translate technical concepts into executive-ready insights and presentations • Mentor and upskill analysts and finance team members on SQL, BI tools, and data best practices • Manage sensitive financial information securely and in compliance with internal controls

🎯 Requirements

• Bachelor's degree required, preferably in Finance, Accounting, Data Analytics, Computer Science, Information Systems, or a related field • Master's degree preferred • Minimum 8 years of progressive experience in FP&A, financial systems, data engineering, or business intelligence • At least 3 years in a senior or lead technical role • Experience designing, building, and owning a finance or operations data warehouse or enterprise reporting platform • Experience leading cross-functional programs or system implementations from inception through delivery • Experience in logistics, supply chain, or third-party logistics preferred • Advanced SQL proficiency, including complex joins, CTEs, window functions, stored procedures, and query performance tuning • Hands-on experience with data warehouse platforms such as Snowflake, Microsoft Fabric/Azure Synapse, Databricks, Amazon Redshift, or SQL Server • Expert-level proficiency with BI tools, preferably Power BI or Tableau • Experience building and orchestrating ETL/ELT pipelines using tools such as Azure Data Factory, SSIS, dbt, or Alteryx • Python for data transformation, automation, and forecasting is a strong plus • Experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics • Advanced Microsoft Excel and financial modeling skills • Familiarity with Git, Jira, Azure DevOps, and Power Automate preferred • PMP, Agile/Scrum, or relevant data and cloud certifications preferred • English reading, writing, and verbal skills • Strong mathematical, statistical, analytical, financial, and accounting skills • Understanding of accounting principles, P&L structure, and financial close processes • Ability to travel by plane and automobile

🏖️ Benefits

• Benefits offerings with eligibility, coverage options, and plan details available through the DSV Benefits Showcase • Benefits, programs, and eligibility may vary by location and division • Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions