Senior Manager - Marketing Analytics CALA

Marriott • Plantation, FL

9d • $96,000 - $144,000

About The Position

The Senior Manager, Marketing Measurement Analytics is a key contributor within Marriott’s Enterprise Data, Analytics & AI organization. The role delivers insights to optimize marketing performance and inform strategic decision-making through initiatives such as marketing mix modeling, attribution, incrementality testing, and ROI analysis. It enables data-driven decisions that improve engagement and maximize return on investment.

Working with marketing leaders and cross-functional teams, the Senior Manager conducts targeted analyses, interprets complex data, and turns findings into actionable recommendations. The role uses curated data assets and advanced analytics to help ensure marketing strategies are grounded in robust insights and aligned with enterprise priorities. It combines analytical expertise, business acumen, and communication skills to influence decisions and drive measurable impact.

The position is U.S.-based and may be located in Plantation, Bethesda, or remotely. Spanish or Portuguese is desired.

Requirements

• Bachelor’s degree in Business, Analytics, Statistics, or a related field.
• At least 5 years of experience in advanced analytics is preferred.
• Robust understanding of causal inference methodologies, such as randomized controlled trials, differences in differences, and instrumental variables.
• Hands-on knowledge of running incrementality studies, including geo-based and audience-based hold-outs and synthetic controls.
• Strong familiarity with Marketing Mix Modeling validation techniques, including in-market and out-of-sample model validations.
• Strong understanding of full-funnel marketing and media channels, including digital, TV, retail media, paid social, and search, as well as relevant measurement frameworks.
• Ability to translate insights into strategic recommendations for business leaders.

Nice To Haves

• An advanced degree.
• Spanish or Portuguese language skills.

Responsibilities

• Partner with an external vendor and internal marketing teams to deliver Marketing Mix Modeling insights.
• Translate complex analytical findings into clear, compelling narratives and strategic recommendations for senior leadership.
• Design and apply causal inference methodologies, including randomized controlled trials, differences in differences, synthetic controls, and instrumental variables, to isolate incremental impact and inform decision-making.
• Partner with data engineering, data science, and visualization teams to ensure analytics are supported by reliable, well-structured, and accessible data assets.
• Stay current on industry best practices and emerging trends in marketing measurement, experimentation, and advanced analytics.
• Manage multiple projects simultaneously and prioritize them based on business impact.
• Support development of KPI frameworks and measurement methodologies.
• Conduct targeted analyses and interpret complex data to inform marketing strategy and performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior