Job Summary :
The Vice President of Analytics is responsible for developing and executing the enterprise analytics vision and strategy to drive data-informed decision-making across all areas of the business. This role oversees the design, governance, and performance of the company’s analytics ecosystem—including data warehousing, business intelligence platforms, predictive modeling, and advanced analytics initiatives.
The VP of Analytics leads a cross-functional team of analysts, data scientists, and data engineers to transform complex data into actionable insights that support operational excellence, customer experience, and financial performance. This position partners closely with executive leadership to shape business strategy and drive measurable outcomes through data-driven innovation.
Essential Job Functions :
Strategic Leadership
- Define and implement the company’s analytics and data strategy to align with corporate goals and growth initiatives.
- Establish a data-driven culture through leadership, education, and effective communication of insights.
- Partner with executives across Operations, Finance, Sales, and IT to identify opportunities for leveraging analytics to improve performance and efficiency.
Analytics Strategy & Execution
Oversee the development of enterprise dashboards, performance metrics, and predictive models that measure and optimize key business functions.Ensure timely, accurate, and meaningful insights are delivered to drive strategic and operational decisions.Lead the modernization of analytics tools and infrastructure, leveraging platforms such as Snowflake, Power BI, Tableau, and SQL Server.Establish a data-driven and AI-enabled culture through leadership, education, and effective communication of insights.Data Governance & Quality
Champion data integrity, consistency, and accuracy across all reporting and analytical systems.Develop and enforce enterprise data governance standards, ensuring compliance with data security and privacy requirements.Collaborate with IT and business leaders to evolve data warehousing and integration strategies.Team Leadership & Development
Build and mentor a high-performing analytics organization encompassing business intelligence, data engineering, and advanced analytics.Foster professional growth and a culture of innovation, curiosity, and accountability within the analytics team.Oversee training programs to strengthen data literacy across business units.Business Partnership
Translate analytical findings into actionable business strategies and present insights to senior executives and the Board.Guide resource allocation and investment decisions through robust analytics and scenario modeling.Lead cross-functional initiatives that utilize data to enhance profitability, operational efficiency, and customer experience.Minimum Qualifications :
Bachelor’s degree required; Master’s degree in Business, Analytics, Statistics, Data Science, or related field strongly preferred.Minimum 7 years of progressive experience in business intelligence, analytics, or data strategy roles.At least 5 years in a leadership position managing teams and enterprise analytics programs.Proven success implementing modern analytics platforms and data warehousing technologies (e.g., Snowflake, Azure, Power BI, Tableau).Experience in the transportation, logistics, or supply chain industry preferred.Skills & Competencies :
Strategic thinker with strong business acumen and executive presence.Deep understanding of data modeling, visualization, and statistical analysis.Exceptional communication skills with the ability to translate complex data into compelling stories.Adept at leading through influence and collaboration across functions.Highly organized and results-driven, capable of managing multiple initiatives simultaneously.Salary : ~$200,000 / year base salary + eligibility for additional bonus and equity programs
This is an estimated range based on the circumstances at the time of posting, however it may change based on a combination of factors, including but not limited to skills, experience, education, market factors, geographical location, budget, and demand.
