Senior Marketing Analyst

Why GM Financial Protections?

GM Financial is targeting significant growth as it transforms the Protection/Insurance Products into a full captive platform. Our team is responsible for bringing the branded General Motors F&I products to market and we work hands on with our dealer partners to improve performance in their F&I department, and market our products direct to consumer.

At GM Financial, our team members define and shape our culture — an environment that welcomes new ideas, fosters integrity and creates a sense of community and belonging. Here we do more than work — we thrive.

Our Purpose: We pioneer the innovations that move and connect people to what matters. 

About the role:

GM Financial is currently seeking a senior data and analytics professional with proven experience analyzing and reporting on marketing and digital marketing performance, delivering actionable insights, and driving business outcomes at GM Protection business within GM Financial. 

In this role you will:

• Provide analysis, insights, and recommendations to support enhancements of GM Protection consumer acquisition and retention programs 
• Drive analytics for marketing campaign performance across all marketing channels, such as social media, app, web and email marketing
• Assess competitive benchmarks and market analytics to improve product performance.
• Integrate multiple sources and data elements to deliver insights and recommendations to improve conversion: customer segmentation, channel attribution, funnel leakage analytics, next best offer and any other ad hoc analysis
• Collaborate with business stakeholders to understand strategic goals, define OKRs and KPIs, and ensure accurate, reliable measurement and performance tracking
• Support GMP products and business units by developing reporting and dashboards that monitor behavior and performance of marketing campaigns and channels
• Communicate results to different internal audiences, including senior leaders, in a compelling manner, incorporating best practices in data storytelling
• Identify data discrepancies and collaborate with Integration and Developer teams for support
• Design and manage controlled experiments/tests (A/B, Multivariate, etc.) end-to-end
• Identify data discrepancies and collaborate with Integration and Developer teams for support
• Design and manage controlled experiments/tests (A/B, Multivariate, etc.) end-to-end