VP, Enterprise Analytics

VP, Enterprise Analytics

This job is no longer open

The Role:

We are seeking an experienced and motivated individual to lead the Analytics function, a growing and critical part of our business. Cars Commerce properties derive data from a marketplace with 28M unique visitors each month, 6,000+ dealer websites and several software properties.

Analytics at Cars Commerce is highly cross-functional. As the leader of the Analytics team you will have the opportunity to work closely with leaders from Product, Marketing, Sales, Technology, and Finance and leverage insights and recommendations that help shape our strategy and outreach to both our customers and consumers. In addition, we interact with OEMs, dealers and lenders and have an opportunity to bring deeper insights related to value delivery and value attribution to our partners based on the signals we get from our large in-market audience.

The primary focus of this role is to build a team and processes that will allow the company to better leverage data and insights across the business - internally and externally. We also expect the VP, Analytics to evangelize data and data access broadly across the Company and to take responsibility for developing and implementing strategies for data-driven decision-making and data literacy across the Company. This is a high visibility role requiring a high degree of cross-functional work and communication.

Responsibilities:

  • Lead the expansion of Cars Commerce’s analytics function and develop processes and relationships across the organization to elevate analytics and data-driven decision making
  • Develop prioritization process for analytics use-cases across the enterprise
  • Build investment requirements for analytics capability and continuously optimize spend
  • Develop and implement analytics enterprise analytics roadmap
  • Work with functions / business units on optimal partnership model 
  • Enhance analysis and unlock innovative insights that showcase overall market competitiveness and differentiation
  • Collaborate with cross-functional teams to identify and prioritize opportunities and initiatives that will drive business growth and profitability 
  • Serve as a thought leader and subject matter expert on data analytics, providing insights and recommendations to key stakeholders across the organization
  • Foster a culture of “data as an asset” to make information decisions that improve business outcomes
  • Establish key performance indicators (KPIs) and metrics across the Company, and in advance of new product launches, to measure performance and impact, and track to performance against these targets
  • Responsible for customer value delivery reporting
  • Lead team responsible for designing, analyzing, and facilitating A/B testing, as well as implementing new testing methodologies to optimize website and product performance
  • Develop analytics talent agenda for the organization

Requirements: 

  • Minimum of 15 years of experience in data analytics and statistics
  • High degree of fluency with large data sets, advanced analytical tools, and problem-solving approaches as well as the ability to think through the abstract 
  • A passion for solving complex data challenges and questions in a constantly innovating, fast-paced, and collaborative environment
  • Strong ability to drive analyses that decompose drivers of business performance across various dimensions: customer segment, product, consumer segment, etc.
  • Experience with modern data & analytics tool sets and experience in migrating data and analytics platforms
  • Excellent communication and presentation skills with the ability to communicate complex information clearly and effectively to both technical and non-technical audiences
  • Strong track record of delivering results and are able to effectively prioritize and manage multiple competing priorities with various business stakeholders
  • Experience in leading a team of analysts and a desire to foster an environment of continuous learning and mentorship
  • Approx. 20-30% travel required
  • Bachelor's degree in a related field, such as business, economics, data science, or engineering; a Master's degree or MBA is preferred.
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This job is no longer open
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