Marketing Analytics Analyst

Travel + Leisure Co.•Orlando, FL

About The Position

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. We are seeking an analytically driven Marketing Analytics Analyst to help improve marketing effectiveness, support growth initiatives, and deliver actionable customer and campaign insights across integrated digital and offline marketing channels. This role will partner closely with global marketing business partners and cross-functional digital teams to measure performance, identify optimization opportunities, and support data-driven decision making. The ideal candidate combines strong analytical and problem-solving skills with experience in marketing analytics, customer behavior analysis, experimentation, and performance reporting. This individual should be comfortable working with large datasets, identifying trends and insights, and translating data into clear recommendations that help improve acquisition efficiency, audience targeting, conversion performance, and overall marketing impact. This role offers the opportunity to contribute to a mature marketing measurement environment and support initiatives related to attribution, experimentation, forecasting, and customer analytics.

Requirements

Bachelor’s degree in Marketing, Analytics, Statistics, Economics, Mathematics, Computer Science, or related field.
2–4 years of experience in marketing analytics, digital analytics, business analytics, or related fields.
Experience analyzing campaign or customer performance data and providing actionable insights.
Understanding of digital marketing channels and performance measurement concepts.
Familiarity with attribution concepts, A/B testing, and marketing analytics methodologies.
Strong analytical, quantitative, and problem-solving skills.
Experience with: Snowflake, Google Analytics, Looker Studio, Power BI, BigQuery, Python
Intermediate to advanced SQL skills.
Strong communication and organizational skills.

Nice To Haves

Experience with forecasting, predictive analytics, or statistical modeling.
Exposure to incrementality testing or multi-touch attribution concepts.
Familiarity with customer segmentation, retention, or lifecycle analytics.
Experience with data visualization and dashboard development.
Working knowledge of APIs, HTML, or marketing technology platforms.
Familiarity with AI tools or automation workflows used in analytics or reporting.
Experience equivalent to the education requirement may be accepted in lieu of the education requirement.

Responsibilities

Analyze marketing performance across digital and offline channels to identify trends, opportunities, and areas for optimization.
Support recurring campaign reporting and performance analysis across acquisition and engagement initiatives.
Provide insights related to channel performance, audience targeting, creative effectiveness, and marketing efficiency.
Assist with budget pacing, performance tracking, and KPI monitoring.
Analyze customer behavior, funnel performance, audience segmentation, and engagement trends.
Support initiatives related to customer acquisition, retention, and lifecycle performance.
Help identify audience insights and opportunities to improve marketing effectiveness.
Support attribution and marketing measurement efforts to better understand channel contribution and campaign performance.
Assist with incrementality testing, holdout analysis, and campaign lift measurement.
Help validate campaign tracking, reporting accuracy, and measurement consistency across platforms.
Support the setup, execution, and analysis of A/B tests and marketing experiments.
Assist in evaluating test performance and communicating findings and recommendations.
Help ensure testing methodologies and audience selection are properly implemented.
Develop and maintain reporting tools, dashboards, and visualizations that support marketing decision making.
Query and analyze large datasets using SQL and cloud-based platforms.
Support ad hoc analyses and strategic reporting requests as needed.
Partner with Marketing, Analytics, and Data teams to support reporting, analysis, and optimization initiatives.
Communicate findings clearly to both technical and non-technical stakeholders.
Contribute to continuous improvement of marketing analytics processes and reporting efficiency.