Director of Finance, Data Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the finance data warehouse, including data architecture and models that support planning, reporting, and analytics.

• Create, develop, and manage scalable data models that integrate ERP, billing, operational, labor, and customer data.

• Design and maintain SQL-based ETL/ELT pipelines for the ingestion, transformation, and validation of source-system data.

• Set data governance standards, define data, manage master data, establish access controls, conduct data quality checks, and perform general-ledger reconciliation.

• Collaborate with IT and Enterprise Data teams regarding platform choices, security measures, environment management, and performance enhancement.

• Direct the finance BI and reporting strategy and roadmap.

• Create executive dashboards and KPI frameworks that encompass P&L, cost-to-serve, labor productivity, margin, and cash metrics.

• Standardize reporting and metrics across customer accounts, promoting the adoption of self-service analytics.

• Develop and maintain automated, driver-based forecasting and financial planning models.

• Automate reporting processes for ERP and the data warehouse, incorporating actual-versus-plan and forecast variance reporting.

• Create predictive and statistical models for forecasting volume, revenue, and cost drivers.

• Assist with annual budgeting, quarterly reforecasting, and month-end close cycles using reconciled and auditable data.

• Lead cross-functional finance data and systems initiatives from scoping to delivery.

• Oversee the finance data and automation roadmap, including project charters, requirements, timelines, risks, issues, and status updates.

• Coordinate with Finance, Operations, IT, vendors, and consultants without having direct authority.

• Manage system implementations, integrations, enhancements, user acceptance testing, cutover activities, and post-go-live support.

• Identify and eliminate manual, inefficient, and unnecessary finance processes.

• Automate accruals, invoice uploads, and billing reconciliations.

• Assess automation impact by measuring hours saved, error reduction, cycle-time improvement, and cost savings.

• Evaluate and recommend cloud data solutions, workflow automation, and AI/ML technologies.

• Provide counsel to Finance and Operations leadership on data, analytics, and technology strategy.

• Convert technical concepts into insights and presentations suitable for executives.

• Mentor and enhance the skills of analysts and finance team members in SQL, BI tools, and data best practices.

• Securely manage sensitive financial information in compliance with internal controls.

⛳️ Requirements

• A Bachelor’s degree is required, ideally in Finance, Accounting, Data Analytics, Computer Science, Information Systems, or a related discipline.

• A Master’s degree is preferred.

• At least 8 years of progressively responsible experience in FP&A, financial systems, data engineering, or business intelligence.

• Minimum of 3 years in a senior or lead technical role.

• Proven experience in designing, building, and managing a finance or operations data warehouse or enterprise reporting platform.

• Experience leading cross-functional programs or system implementations from conception to delivery.

• Background in logistics, supply chain, or third-party logistics is preferred.

• Advanced proficiency in SQL, including complex joins, CTEs, window functions, stored procedures, and query performance optimization.

• Practical experience with data warehouse platforms such as Snowflake, Microsoft Fabric/Azure Synapse, Databricks, Amazon Redshift, or SQL Server.

• Expert-level skills with BI tools, preferably Power BI or Tableau.

• Experience in creating and managing ETL/ELT pipelines using tools like Azure Data Factory, SSIS, dbt, or Alteryx.

• Proficiency in Python for data transformation, automation, and forecasting is a significant advantage.

• Familiarity with ERP systems such as SAP, Oracle, or Microsoft Dynamics.

• Advanced skills in Microsoft Excel and financial modeling.

• Knowledge of Git, Jira, Azure DevOps, and Power Automate is preferred.

• PMP, Agile/Scrum, or relevant data and cloud certifications are preferred.

• Proficient in English reading, writing, and speaking.

• Strong mathematical, statistical, analytical, financial, and accounting skills.

• Understanding of accounting principles, P&L structure, and financial closing processes.

• Willingness to travel by plane and automobile.

🏝️ Benefits

• A range of benefits offerings with eligibility, coverage options, and plan details available through the DSV Benefits Showcase.

• Benefits, programs, and eligibility may differ by location and division.

• Reasonable accommodations may be provided to enable individuals with disabilities to perform essential functions.