Staff Advanced Analyst, Marketing Analytics

Staff Advanced Analyst, Marketing Analytics

Onsite

Summary:

The Guest Engagement AA sits within Marketing Analytics and serves as the analytical backbone for our lifecycle marketing programs — the email, push, and in-app communications that reach hundreds of millions of guests across their entire journey. You'll partner closely with Guest Engagement Marketing, Mar

Tech Data Science, and Strategic Finance to drive measurable booking impact through experimentation and insights.

You will be the clear analytics owner of guest lifecycle marketing domain — covering abandon journeys, demand generation, onboarding, upsell, and more. This role is expected to drive significant incremental bookings in 2026 by setting the analytics strategy, designing rigorous experiments, and surfacing proactive insights across 30+ active programs.

Responsibilities:

• Own the analytics roadmap for Guest Engagement — define what to measure, what to test, and where the biggest opportunities lie across the full guest lifecycle. Specific projects and prioritization decisions should exist because of your recommendations.

• Design and analyze experiments at scale across abandon journeys, demand gen ML model rollouts, and placement-level A/B tests.

• Develop measurement frameworks (holdouts, proxy metrics, annualized impact models) to accurately attribute cumulative program impact.

• Surface proactive insights that go beyond reporting — user segmentation, funnel analysis, fatigue signals, channel optimization — and translate them into strategic recommendations for Director-level marketing leaders.

• Build scalable, self-serve reporting (dashboards, OKR tracking, experiment trackers) that empowers partners and frees AA capacity for higher-leverage work.

• Collaborate cross-functionally with Mar

Tech DS on ML model feedback loops and attribution, with SF&A on goal methodology, and with India-based analytics resources on operational reporting.

Requirements:

• 9+ years in analytics or data science, with depth in marketing and/or growth analytics.

• Analysis that drives action: Your insights directly shape what teams build, test, and invest in — you influence roadmaps and prioritization at the Director level.

• Strong experimentation skills: Experience designing and interpreting A/B tests and measurement frameworks for multi-channel marketing programs.

• Excellent communicator: Able to distill complex findings into clear, compelling recommendations for senior stakeholders. Comfortable pushing back when the data

• Technical proficiency: Advanced SQL and Python/R. Experience working in large-scale data environments.

• AI-forward mindset: Experience leveraging AI tools to automate workflows, accelerate analysis, and build scalable solutions.

• Domain experience in lifecycle marketing (email, push, audience segmentation, incrementality) is a strong plus.

Education:

• Quantitative degree required. Advanced degree preferred.

Pay range is $114 - $119 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

THE PROMISES WE MAKE:

At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey.

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