US Auto Trust is one of California’s fastest-growing automotive groups, representing a portfolio of world-renowned luxury and performance brands, including Ferrari, Aston Martin/Lotus, Lamborghini, and Cadillac. We are committed to delivering an exceptional client experience that reflects the exclusivity, heritage, and performance excellence of the brands we represent.
We are seeking a proactive, analytical, and technology-driven Marketing Data Analyst to join our corporate office team and support our luxury automotive dealerships. The ideal candidate is knowledgeable in AI, enjoys working with data, and can transform complex information into actionable insights to optimize marketing campaigns, improve lead generation, identify trends, and drive overall business growth.
Key Responsibilities:
· Analyze marketing campaigns, lead generation, conversion rates, and ROI across multiple dealerships.
· Develop reports and dashboards to track marketing performance and identify growth opportunities.
· Use AI-powered tools to analyze data, automate reporting, and optimize marketing strategies.
· Analyze customer behavior, audience segments, and lead conversion trends.
· Consolidate data from CRM systems, advertising platforms, and website analytics.
· Present actionable insights and recommendations to marketing leadership.
· Event data analysis, market research, and competitive analysis.
What We Offer:
· Comprehensive Benefits Package (Health, Dental and Vision) and a 401(k) Plan
· Paid Time Off (Vacation, Sick, Holidays)
· Training, resources and opportunities for career growth and advancement, tailored to individual performance, experience and interests.
· Values-driven culture built on integrity, professionalism, excellence and teamwork.
· Experience in marketing analytics, data analysis, or business intelligence.
· Strong Excel skills, with experience managing third-party vendors and digital marketing platforms.
· Knowledge of AI tools, automation, and data analytics.
· Familiarity with digital marketing platforms, Google Analytics, and CRM systems.
· Strong analytical, problem-solving, and communication skills.