Marketing Analytics Manager

Marketing Analytics Manager (2600009U) Who We Are Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values‑driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement. We Take Care of Our People Medical, dental, and vision plans with no‑cost and low‑cost options Annual employer HSA contribution 401(k) matching and immediate vesting Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level: Associate / Sr. Associate: $350 Director: $800 Executive Director: $900 VP or Above: $1,000 100% employer‑paid life and disability insurance No‑cost health and wellbeing programs, including a gym benefit Six weeks of paid parental leave Paid Volunteer Time Off, plus a company donation to a charity of your choice What to Expect The Marketing Analytics Manager is responsible for delivering actionable insights that drive lifecycle marketing effectiveness, personalization, and performance optimization across owned digital channels. This role partners closely with Marketing, Digital, Product, Finance, and OEM stakeholders to translate complex data into actionable insights that improve customer acquisition, retention, and lifetime value. What You Will Do Lead and execute end‑to‑end measurement strategies for digital marketing programs, across Salesforce Marketing Cloud and Adobe Experience Cloud. Define and manage KPIs, dashboards, and scorecards for lifecycle marketing, including conversion, retention, renewal, and cross‑sell. Analyze campaign performance to identify optimization opportunities and inform ongoing digital marketing strategies. Journey Analytics & Attribution Analyze end‑to‑end customer journeys by integrating Adobe behavioral data with Salesforce campaign and journey execution data. Design and manage attribution models (e.g., multi‑touch, data‑driven) to assess marketing impact across channels and touchpoints. Apply advanced analytics techniques (segmentation, cohort analysis, LTV modeling, propensity scoring) to support targeting and personalization strategies. Align Adobe Analytics data with Salesforce Marketing Cloud reporting to quantify marketing impact and downstream financial outcomes. Partner with marketing and UX teams to optimize journey design, cadence, messaging, and experience strategy. Partner with experience teams to ensure reliable data pipelines across platforms such as CRM, web analytics, media platforms, and enterprise data warehouses. Serve as an analytics stakeholder in marketing technology initiatives (e.g., Salesforce, Adobe, CDPs). Ensure analytics solutions scale across multiple brands, products, and OEM requirements. Cross‑Functional & Executive Partnership Translate complex cross‑platform data into clear insights, narratives, and recommendations tailored to executive, marketing, and operational audiences. Support marketing investment decisions, lifecycle strategy, and digital experience optimization efforts. Support strategic initiatives such as new product launches, dealer programs, UX enhancements, and digital transformation efforts. Act as a trusted advisor to marketing leadership on performance trends, risks, and investment decisions. Qualifications What You Will Bring Minimum 5‑7 years of progressive experience in marketing analytics, digital analytics, or CRM analytics. Experience with Salesforce and Adobe technology stacks. Experience with content marketing, email marketing, and SEO marketing. Automotive or financial services industries preferred. Bachelor’s degree in Marketing, Analytics, Business, Statistics or related discipline. Salesforce or Adobe certification(s) a plus. Strong working knowledge of Salesforce Marketing Cloud, including customer data activation, journey performance, segmentation effectiveness, and attribution across channels. SQL proficiency with the ability to query, join, and analyze large datasets across enterprise data warehouses and marketing platforms. Exceptional attention to detail and quality. Ability to work autonomously and in a team environment. Excellent verbal and written communication, including presentation skills. Excellent interpersonal skills to successfully collaborate with cross functional departments. Strong orientation toward results coupled with reputation for integrity, creativity and good judgment. Must have the ability to challenge, when appropriate, existing practices. Proficient in Microsoft 365 Suite (Word, Excel, PowerPoint, Outlook, Teams, Copilot). Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment. The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range. This notice only applies to our applicants who reside in the State of California. #J-18808-Ljbffr