[Hiring] Director Finance & Data Analytics @DSV

Role Description

The Programme Director, Finance & Data Analytics is the technical owner of the finance data ecosystem supporting the Ops Finance organization. This senior individual contributor role owns the design, build, and governance of the finance data warehouse, the business intelligence (BI) and reporting layer, and the automated forecasting and planning models that Finance leadership relies on to run the business.

Essential duties and responsibilities include:

• Own the finance data warehouse and data architecture.
• Design, build, and maintain scalable data models (e.g., star schema, fact and dimension tables).
• Develop and maintain ETL/ELT pipelines using SQL and modern data tooling.
• Establish data governance standards.
• Partner with IT and Enterprise Data teams on platform decisions.
• Lead the business intelligence and reporting strategy.
• Architect automated forecasting and financial planning.
• Lead programs and projects end to end.
• Drive finance transformation and automation.
• Advise and influence Finance leadership.

Qualifications

• A Bachelor's degree is required, preferably in Finance, Accounting, Data Analytics, Computer Science, Information Systems, or a related field; a Master's degree is preferred.
• A minimum of 8 years of progressive experience in FP&A, financial systems, data engineering, or business intelligence is required.
• Demonstrated experience designing, building, and owning a data warehouse or enterprise reporting platform in a finance or operations environment is required.
• Proven track record leading cross-functional programs or system implementations from inception through delivery.
• Experience in a logistics, supply chain, or third-party logistics (3PL) environment is preferred.

Requirements

• Advanced SQL proficiency is required.
• Hands-on experience with data warehouse platforms and data modeling best practices.
• Expert-level proficiency with BI tools, preferably Power BI or Tableau.
• Experience building and orchestrating ETL/ELT pipelines.
• Python for data transformation, automation, and forecasting is a strong plus.
• Advanced Microsoft Excel and financial modeling skills.

Benefits

• Information regarding DSV’s benefits offerings, including eligibility, coverage options, and plan details, is available through the DSV Benefits Showcase.