Director Finance & Data Analytics

DSV • Atlanta, GA

2d • $127,000 - $156,000 • Remote

About The Position

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. Serving as the organization’s Finance BI leader and data engineer, this individual sets the technical direction and multi-year roadmap for finance data and analytics, leads cross-functional programs from scoping through delivery, and establishes a single, trusted source of truth across all customer accounts within the vertical. Although the role has no direct reports, it is expected to lead through influence: setting standards, mentoring analysts and end users, directing work with IT and external partners, and advising Finance and Operations leadership on how data, automation, and analytics can improve margin, cash, and speed of decision-making. As part of the DSV team, Employees are expected to meet company objectives in performance, safety, and quality. Employees are expected to comply with all DSV corporate and site-specific policies and requirements. Employees are expected to consistently support, promote, and exemplify DSV's core values: Customers First, Best Performance, and True Collaboration.

Requirements

• A Bachelor's degree is required, preferably in Finance, Accounting, Data Analytics, Computer Science, Information Systems, or a related field
• A minimum of 8 years of progressive experience in FP&A, financial systems, data engineering, or business intelligence is required, including at least 3 years in a senior or lead technical role
• 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
• Advanced SQL proficiency is required (e.g., complex joins, CTEs, window functions, stored procedures, query performance tuning)
• Hands-on experience with data warehouse platforms (e.g., Snowflake, Microsoft Fabric/Azure Synapse, Databricks, Amazon Redshift, SQL Server) and data modeling best practices
• Expert-level proficiency with BI tools, preferably Power BI (DAX, Power Query, semantic model design) or Tableau
• Experience building and orchestrating ETL/ELT pipelines (e.g., Azure Data Factory, SSIS, dbt, Alteryx)
• Experience working within ERP systems (e.g., SAP, Oracle, Microsoft Dynamics) and automating reporting output from them
• Advanced Microsoft Excel and financial modeling skills
• Strong math, statistical, and analytical skills, with an emphasis on financial and accounting applications, forecasting, and close attention to detail
• Solid understanding of accounting principles, P&L structure, and the financial close process.
• Proven ability to lead through influence and drive outcomes across Finance, Operations, and IT without direct authority
• Strong project and program management skills, including managing scope, timelines, risks, and multiple concurrent priorities
• Ability to translate business requirements into technical solutions and to explain technical concepts clearly to non-technical executives
• Executive presence, with excellent communication, presentation, and data storytelling skills
• A strategic thinker who is vocal in challenging the status quo and identifying tedious, manual, broken, and unnecessary processes
• Ability to mentor others, raise the technical capability of the team, and promote a data-driven culture
• An initiative-taking individual with high ownership, intellectual curiosity, and the ability to thrive in a dynamic environment.

Nice To Haves

• A Master's degree (e.g., MBA, MS in Analytics or Data Science) is preferred
• Experience in a logistics, supply chain, or third-party logistics (3PL) environment is preferred
• Python for data transformation, automation, and forecasting (e.g., pandas, statistical and machine learning libraries) is a strong plus
• Familiarity with version control (e.g., Git), Agile delivery tools (e.g., Jira, Azure DevOps), and workflow automation tools (e.g., Power Automate) is preferred
• PMP, Agile/Scrum, or relevant data and cloud certifications (e.g., Microsoft Power BI Data Analyst, Azure Data Engineer, Snowflake) preferred

Responsibilities

• Own the finance data warehouse and data architecture: Serve as the technical owner of the finance data warehouse and the data models that support planning, reporting, and analytics
• Design, build, and maintain scalable data models (e.g., star schema, fact and dimension tables) that integrate ERP, billing, operational, labor, and customer data
• Develop and maintain ETL/ELT pipelines using SQL and modern data tooling to ingest, transform, and validate data from source systems
• Establish data governance standards, including data definitions, master data, access controls, data quality checks, and reconciliation to the general ledger
• Partner with IT and Enterprise Data teams on platform decisions, environment management, security, and performance optimization
• Lead the business intelligence and reporting strategy: Set the vision, standards, and roadmap for finance BI and self-service reporting across the Ops Finance organization
• Design and deliver executive-level dashboards and KPI frameworks (e.g., P&L by account, cost-to-serve, labor productivity, margin, and cash metrics)
• Standardize reporting and metrics across all customer accounts within the vertical, eliminating duplicate and conflicting reports
• Define and enforce BI development standards, including semantic models, naming conventions, version control, and documentation
• Drive adoption of self-service analytics through training, enablement, and user support
• Architect automated forecasting and financial planning: Build and own an automated, driver-based forecasting and planning model that replaces manual, spreadsheet-based processes
• Automate recurring reporting out of the ERP system(s) and the data warehouse, including actual vs. plan and forecast variance reporting
• Develop predictive and statistical models to improve forecast accuracy and visibility into volume, revenue, and cost drivers
• Support the annual budget, quarterly reforecast, and month-end close cycles with timely, reconciled, and auditable data
• Lead programs and projects end to end: Lead complex, cross-functional finance data and systems programs from scoping through delivery
• Build and manage the finance data and automation roadmap, prioritizing work based on business value, effort, and risk
• Develop project charters, requirements, timelines, risk and issue logs, and status reporting for Finance leadership and stakeholders
• Coordinate work across Finance, Operations, IT, and external vendors and consultants, managing scope, dependencies, and deliverables without direct authority
• Lead system implementations, integrations, and enhancements, including requirements gathering, user acceptance testing (UAT), cutover, and post-go-live support
• Drive finance transformation and automation: Be vocal and proactive in identifying and eliminating tedious, manual, broken, and unnecessary processes across Ops Finance
• Automate accounting and finance operations processes such as accruals, invoice upload, and billing reconciliations
• Quantify and report the value delivered by automation initiatives (e.g., hours saved, error reduction, cycle-time improvement, cost savings)
• Evaluate and recommend new tools and technologies (e.g., cloud data platforms, workflow automation, AI/ML) that advance finance excellence
• Advise and influence Finance leadership: Act as a trusted advisor to Finance and Operations leadership on data, analytics, and technology strategy
• Contribute to Finance roadmap items, OKRs, and cost savings initiatives, owning the data and analytics components
• Translate complex data and technical concepts into clear insights, recommendations, and executive-ready presentations
• Mentor and upskill analysts and finance team members on SQL, BI tools, and data best practices
• Manage sensitive and confidential financial information in a professional, discreet, and secure manner, ensuring appropriate data security and compliance with internal controls.

Benefits

• Information regarding DSV’s benefits offerings, including eligibility, coverage options, and plan details, is available through the DSV Benefits Showcase. Benefits, programs, and eligibility may vary by location and division in accordance with applicable state and local laws.

What This Job Offers

• Job Type: Full-time
• Career Level: Director