Choice Hotels

Senior Analyst, AI Marketing Measurement & Insights

North Bethesda, MD, US
Salary
$85K–$100K/yr
Job Type
fulltime
Posted
3 days ago

Job Description

Summary

Drive AI marketing strategy, leveraging LLMs and data analysis to provide key business insights for Choice Hotels.

Job Title: Senior Analyst, AI Marketing Strategy

Join Choice Hotels to drive our AI marketing strategy, focusing on large language models (LLMs) such as Gemini and ChatGPT. This role combines AI innovation with business intelligence, providing data-driven insights to support leadership decisions and enhance marketing performance.

Responsibilities:

  • Develop and execute measurement plans for key marketing initiatives.
  • Analyze customer, digital, and transactional data, identifying high-impact LLM topics.
  • Conduct deep dives into LLM impact on paid media channels and provide competitive intelligence.
  • Test and evaluate new AI tools, including audience targeting and personalization technologies.
  • Identify website content improvement opportunities and monitor bot traffic trends.
  • Stay current on AI, LLMs, SEO tools, and hospitality analytics best practices.
  • Collaborate with IT and digital teams to enhance data infrastructure and reporting.
  • Ensure insights and actions are aligned across strategy, content, and marketing teams.

Qualifications:

Experience:

  • Minimum 2 years applying machine learning, AI, or statistical methods to business problems.
  • Experience with Generative AI, NLP, and LLMs.
  • Hospitality, multi-location brand, or travel/tourism experience preferred.

Technical Skills:

  • Proficiency in Python, R, or SQL.
  • Familiarity with SEO tools (e.g., BrightEdge, SEMRush, Google Search Console, Screaming Frog, Adobe Analytics).
  • Experience with A/B testing and statistical analysis.

Additional Skills & Competencies:

  • Strong analytical mindset and problem-solving skills.
  • Excellent communication skills; able to translate technical concepts into business insights.
  • Collaborative team player with a proactive approach to innovation.

Education:

  • Bachelor’s degree in Computer Science, Mathematics, Economics, Statistics, Physics, or a related field, or equivalent combination of education and work experience.

Salary Range:

  • $85,000 – $100,000 annually.


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