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Director of Finance, Data Analytics
DSV - Global Transport and Logistics. Own the finance data warehouse, data architecture, and data models supporting planning, reporting, and analytics .
Tech Stack
Tools & technologiesAmazon RedshiftAzureCloudERPETLOraclePMPPythonSQLSSISTableau
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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