Home Jobs Advanced Data Insights Analyst III (Marketing Analytics)
Back to Jobs

Advanced Data Insights Analyst III (Marketing Analytics) - Job Opportunity at Expedia Group

London, United Kingdom
Full-time
Senior
Posted: June 29, 2025
Hybrid
Based on the senior-level role (Level III), London location, and specialized MMM expertise required, the salary range is likely £75,000-£95,000 annually. Expedia Group typically offers competitive compensation packages that include substantial equity components and performance bonuses, potentially bringing total compensation to £90,000-£120,000.

Benefits

Comprehensive travel perks package providing significant value for frequent travelers and vacation planning
Generous time-off policy exceeding industry standards for work-life balance
Paid parental leave supporting family planning and early child development
Flexible hybrid work model with access to premium office facilities
Career development resources and learning opportunities for professional advancement
Full health and wellness benefits package
Inclusive workplace culture promoting diversity and belonging

Key Responsibilities

Lead the strategic maintenance and optimization of Marketing Mixed Model (MMM) operations, directly impacting multi-million dollar marketing investment decisions
Drive cross-functional collaboration with senior stakeholders to enhance analytical capabilities and business impact across global brands
Architect and implement advanced data models that influence P&L accountability for Expedia, Hotels.com, and Vrbo business units
Provide expert guidance on statistical methodologies and measurement techniques to elevate team analytical capabilities
Create scalable data pipelines and automated reporting systems that drive operational efficiency
Deliver executive-level insights and recommendations that shape marketing strategy and investment allocation
Lead iterative project delivery and model design decisions for complex business problems
Mentor team members and establish best practices for statistical analysis and data visualization
Build trusted partnerships with business leaders through transparent communication and actionable insights

Requirements

Education

PhD, Masters, or Bachelors (preferably in Mathematics or Scientific degree)

Experience

7+ years of work experience OR 4+ years in a comparable data analytics role

Required Skills

Advanced experience using R, Python, or SQL for data analysis, structuring, transforming, and visualizing big data Understanding of MMM & incrementality testing techniques Critical thinking, problem-solving, communication, influencing, information gathering, listening, and statistics skills Data visualization skills for communicating results to stakeholders of different technical levels Basic machine learning concepts and approaches Experience delivering data-driven insights and recommendations through multiple projects Experience delivering analytics projects to different business areas with strong business acumen Apply probability, frequentist vs Bayesian statistics, and statistical concepts like regression, ANOVA, AB testing
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

The travel and hospitality industry is experiencing a significant shift toward data-driven marketing optimization, with companies investing heavily in Marketing Mix Modeling to understand the true impact of their advertising spend across channels. This trend has accelerated post-pandemic as travel companies seek to maximize ROI on marketing investments during recovery periods. There is growing demand for advanced analytics professionals who can work with Marketing Mix Models and incrementality testing, as traditional attribution methods become less reliable due to privacy changes and cookie deprecation. Companies are increasingly valuing professionals who can navigate the complex landscape of measurement in a privacy-first world. The integration of machine learning and AI into marketing analytics is becoming standard practice, with senior analysts expected to understand both traditional statistical methods and modern ML approaches. This hybrid skill set is particularly valuable in the travel industry where customer behavior patterns are complex and seasonal.

Role Significance

The role likely involves working within a team of 8-12 marketing analytics professionals, with the individual serving as a subject matter expert and mentor to 2-4 junior analysts while collaborating closely with 3-5 senior stakeholders across business units.
This is a senior individual contributor role with significant influence on marketing strategy and investment decisions. The Level III designation indicates high autonomy, mentorship responsibilities, and direct impact on business outcomes across multiple global brands worth billions in revenue.

Key Projects

Leading the development and maintenance of Marketing Mix Models that allocate marketing budgets across channels for Expedia Group's portfolio of brands Implementing incrementality testing frameworks to measure the true causal impact of marketing campaigns and optimize spend allocation Building automated reporting dashboards that provide real-time insights to marketing leadership on campaign performance and ROI

Success Factors

Deep expertise in Marketing Mix Modeling and incrementality testing methodologies, as these are core to the role's primary responsibilities and directly impact multi-million dollar investment decisions Strong stakeholder management and communication skills to effectively translate complex statistical concepts into actionable business insights for non-technical executives Proven ability to work with large-scale data infrastructure and build scalable analytics solutions that can handle the volume and complexity of global travel booking data Business acumen specific to the travel industry, including understanding of seasonal patterns, customer journey complexity, and competitive dynamics

Market Demand

High demand - Marketing Mix Modeling expertise combined with senior-level analytics skills is in high demand across the travel industry and broader e-commerce sector, with limited supply of qualified professionals.

Important Skills

Critical Skills

Marketing Mix Modeling expertise is absolutely essential as it forms the core of the role's responsibilities and directly impacts strategic business decisions. Without this specialized knowledge, the individual cannot fulfill the primary job functions or provide the advanced guidance expected at the Level III position. Advanced statistical programming skills in R, Python, or SQL are critical because the role involves building and maintaining complex data models, creating automated pipelines, and performing sophisticated analyses on large datasets. These technical skills are the foundation for all analytical work. Strong business communication abilities are critical for translating complex statistical findings into actionable insights for non-technical stakeholders, including senior executives who make multi-million dollar investment decisions based on these recommendations.

Beneficial Skills

Machine learning and AI knowledge will become increasingly important as the marketing analytics field evolves toward more sophisticated predictive modeling and real-time optimization capabilities Experience with cloud-based analytics platforms and big data technologies will be valuable as companies continue to modernize their data infrastructure and scale their analytical capabilities Knowledge of privacy regulations and cookieless measurement techniques will be highly beneficial as the digital advertising landscape continues to evolve and traditional attribution methods become less reliable

Unique Aspects

This role offers direct exposure to Marketing Mix Modeling at unprecedented scale, working with data from multiple global travel brands that collectively represent billions in annual revenue
The position provides unique insights into the travel industry's complex customer journey, from inspiration to booking to post-trip experience, offering valuable expertise that is highly transferable across industries
Working within Expedia Group's portfolio structure allows for cross-brand learning and the opportunity to understand how different travel segments (hotels, vacation rentals, flights) require different analytical approaches

Career Growth

Progression to management roles typically occurs within 2-3 years for high performers, while advancement to director-level positions usually requires 4-5 years of demonstrated impact and leadership.

Potential Next Roles

Senior Manager of Marketing Analytics with team leadership responsibilities overseeing a group of 6-10 analysts Director of Marketing Measurement leading the strategic vision for measurement across all marketing channels Principal Data Scientist focusing on advanced modeling and ML applications in marketing optimization Head of Analytics for a specific brand within the Expedia Group portfolio

Company Overview

Expedia Group

Expedia Group is one of the world's largest online travel companies, operating a portfolio of well-known brands including Expedia, Hotels.com, Vrbo, and others. The company serves as a major player in the global travel ecosystem, facilitating billions of dollars in travel bookings annually and maintaining relationships with hundreds of thousands of lodging partners worldwide.

Expedia Group holds a leading position in the online travel agency market, competing directly with Booking Holdings while maintaining strong market share across multiple geographic regions and travel segments.
The London office serves as a key European hub for Expedia Group, supporting both regional operations and global initiatives. This location provides exposure to diverse international markets and cross-cultural business practices within the travel industry.
Expedia Group emphasizes a collaborative, data-driven culture with strong focus on diversity and inclusion. The company's travel industry background creates an environment where employees are encouraged to think globally and understand customer needs across different cultures and regions.
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.