Analytics Manager

Stellantis NV • Auburn Hills, MI

31d

About The Position

The Digital Analytics Manager is a strategic and execution-focused role responsible for leading cross-tier measurement and analytics across Stellantis' US Brand Tier 1 and Dealer Digital programs. This includes dealership websites, digital advertising, shopping tools, lead generation, and follow-up. The role ensures seamless integration of data across tiers to deliver a unified view of performance and drive actionable insights.

Requirements

• Bachelor's degree
• A minimum of 10 years of experience working in support of dealer digital programs with emphasis on website analytics, lead management, and digital media
• Proven experience in digital analytics, preferably in automotive or multi-tier marketing environments
• Experience managing external agencies and internal analytics teams
• Strong proficiency in analytics/testing platforms (e.g., Adobe Analytics, Google Analytics), data visualization tools (e.g., Tableau, Power BI), and tag management systems
• Excellent analytical, problem-solving, and communication skills
• Ability to work independently and collaboratively in a fast-paced, cross-functional environment

Responsibilities

• Cross-Tier Strategy & Collaboration: Align Tier 1 and Tier 3 measurement strategies to ensure consistent tagging, tracking, and reporting across digital touchpoints. Foster collaboration across internal teams and external partners to support unified performance analysis
• Agency & Resource Management: Lead and coordinate efforts with external agencies and internal analytics resources to ensure timely execution of tagging, reporting, and optimization initiatives. Provide direction, set priorities, and ensure alignment with strategic goals
• Data Tagging & Implementation: Oversee the implementation and governance of analytics tagging across platforms to ensure accurate data collection and alignment with KPIs
• Advanced Analytics & Insights: Conduct deep-dive analyses using advanced techniques to uncover trends, performance drivers, and optimization opportunities across tiers
• Anomaly Detection & Quality Assurance: Monitor data integrity and proactively identify anomalies or inconsistencies to maintain reliable reporting
• Lead Reporting & Funnel Analysis: Analyze lead generation and follow-up performance across tiers, providing insights into conversion paths and areas for improvement
• Experience Optimization & A/B Testing: Utilize testing frameworks and optimization tools to evaluate user experience and recommend enhancements
• Reporting & Visualization: Develop and maintain dashboards and reports that clearly communicate performance metrics, insights, and strategic recommendations
• Strategic Storytelling: Translate complex data into compelling narratives that inform decision-making and support business goals

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Transportation Equipment Manufacturing
• Number of Employees: 5,001-10,000 employees