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Senior Growth Intelligence Analyst

Job in Orlando, Orange County, Florida, 32885, USA
Listing for: Travel + Leisure Co.
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Mining
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Travel + Leisure Co. is the world’s leading vacation ownership and travel membership company, with a dynamic and growing portfolio of resort, travel club, and lifestyle travel brands. Our dedicated associates help the company achieve its mission to put the world on vacation. Innovation and growth keep our work interesting and fun. Every day is a chance to learn something new and turn vacation inspiration into exceptional experiences for millions of travelers worldwide.

The Senior Growth Intelligence Analyst is responsible for developing advanced analytical models, extracting insights from customer and campaign data, and shaping strategies that drive acquisition, engagement, and retention across global markets. This role partners closely with Growth, Marketing, and Product teams to translate data into actionable strategies that power performance marketing, experimentation, and personalization.

They act as the bridge between data science and marketing strategy, ensuring complex analysis is distilled into clear recommendations for business stakeholders. This role is critical in enabling smarter decision-making, campaign measurement, and uncovering new growth opportunities through predictive and behavioral modeling.
This is a hybrid position working at our Orlando office Monday, Tuesday, Wednesday and remotely Thursday, Friday.

How You'll Shine:

Data Modeling & Predictive Analytics
  • Build and maintain predictive and prescriptive models to support growth, customer segmentation, and retention strategies.
  • Analyze historical data to forecast campaign performance and identify new growth opportunities.
  • Ensure models are scalable, accurate, and aligned with business objectives.
  • Provide guidance on how marketing and customer data should be structured and maintained for analytics and activation.
  • Collaborate with technical and marketing teams to design frameworks for data governance, quality, and accessibility.
  • Recommend optimizations to the overall marketing data ecosystem to support campaign effectiveness and personalization.
Insights & Business Translation
  • Translate model outputs into actionable recommendations for Growth, Marketing, and Product teams.
  • Communicate insights in a clear, business-focused way to inform strategic decision-making.
Experimentation & Measurement Support
  • Partner on the design and analysis of A/B tests and marketing experiments to validate models and hypotheses.
  • Act as the analytics partner for cross-functional teams, mentoring team members on data-informed decision-making.
Travel Requirements
  • 5-10% for global team integration, vendor management and leadership meetings.
What You'll Bring:
  • Bachelor’s or master’s degree in a quantitative field (Statistics, Economics, Marketing Analytics, Data Science, or related).
  • 5+ years of experience in data science, marketing analytics, or a related field.
  • Strong ability to design and operationalize analytical models that inform marketing strategies required.
  • Expert proficiency in SQL for data querying and wrangling, with ability to work across large and complex datasets required.
  • Skilled foundation in experimental design and analysis, including A/B testing, attribution, and forecasting methods.
  • Proven success in translating complex analysis into clear business insights.
  • Ability to balance long-term strategic initiatives with immediate business needs.
  • Hands-on experience with Python or R for statistical modeling, predictive analytics, and machine learning.
  • Proficiency with BI and data visualization tools (Power

    BI, Tableau, or similar) to deliver actionable insights.
  • Familiarity with marketing data environments such as CDPs, CRMs, and campaign orchestration platforms.
  • Understanding customer metrics (CAC, CLV, churn, retention) and how to apply them in growth and marketing contexts.
  • Prior experience supporting growth or marketing teams preferred.
  • Experience working with cross-functional and geographically distributed teams.

Experience equivalent to the education requirement may be accepted in lieu of the education requirement.

How You'll Be Rewarded:

We offer a diverse range of comprehensive health and welfare benefits to associates who work 30 or more hours per week to meet…

Position Requirements
10+ Years work experience
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