🔹 Job Title: Advanced Data Insights Analyst III (Marketing Analytics)
🔹 Company: Expedia Group
🔹 Location: London, City of, United Kingdom
🔹 Job Type: Full-Time
🔹 Category: Data & Analytics
🔹 Date Posted: May 2, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: Hybrid
Key aspects of this role include:
ASSUMPTION: This role requires a strong background in data analysis and marketing analytics, with a focus on delivering data-driven insights and recommendations.
✅ Extract data from multiple sources and combine into required datasets for model building or analytics
✅ Challenge MMM concepts and outputs based on specific modelling, marketing, and business knowledge
✅ Collaborate with subject matter experts and stakeholders to clarify business questions and enhance feature selection
✅ Apply probability, frequentist vs Bayesian statistics, and statistical concepts like regression, ANOVA, AB testing
✅ Select appropriate measurement techniques/designs to answer business questions and explain trade-offs
✅ Define and build data models, interpret outputs, and iterate to improve models
✅ Provide guidance and coaching on statistical techniques
✅ Understand common data models, their assumptions, and best data sources
✅ Learn new modelling approaches and critically evaluate their benefits
✅ Refine modelling project questions, drive model design decisions, and provide recommendations
✅ Deliver iterative project steps, refine requirements, and evolve based on learnings
✅ Create data pipelines and workflows, considering legal implications
✅ Create shareable code and documentation
✅ Develop clear visualizations to support data stories
✅ Apply inclusive design principles to visualizations
✅ Use common charting packages in scripting languages and seek alternatives when needed
✅ Provide constructive feedback to upskill teammates
✅ Build trust and collaborate transparently with stakeholders
✅ Articulate project goals, methodology, caveats, and conclusions to technical and non-technical audiences
✅ Present insights clearly and concisely, seeking feedback and actioning it
✅ Create relevant artifacts like technical documentation, presentations, and executive summaries
✅ Understand the organization's processes, objectives, and challenges
✅ Work with big data, explaining challenges and solutions to partners
✅ Write advanced SQL and understand different SQL flavors and querying tools
✅ Know important data sources and support channels to resolve data issues
✅ Use best practices for data quality checks and query optimization
✅ Write shareable, efficient code for data pipelines
✅ Adopt and evaluate new querying tools and datasets
✅ Frame complex business problems as analytics problems and break them into manageable tasks
✅ Work with stakeholders and analytics peers to identify the right objective and propose solutions appropriate for the task and timeframe
✅ Demonstrate iterative thinking and identify next steps based on findings
✅ Pick analytically valid approaches, favoring iterative delivery that solves for the objective, not just the ask
✅ Communicate regularly with stakeholders, addressing problems and meeting key deadlines
✅ Proactively resolve problems, identify opportunities, and collaborate with team members
✅ Automate repeated measurement and reporting tasks, build scalable dashboards, and train stakeholders
✅ Identify and reach out to relevant domain experts and stakeholders to maximize impact
ASSUMPTION: This role requires strong analytical skills, attention to detail, and the ability to work independently and collaboratively with cross-functional teams.
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:
Preferred Skills:
ASSUMPTION: Candidates with a strong academic background in a relevant field and extensive experience in data analysis and marketing analytics are preferred.
Salary Range: £60,000 - £80,000 per year (Based on industry standards for a role of this level and location)
Benefits:
Working Hours: 40 hours per week, with flexible hours and remote work options available
ASSUMPTION: The salary range provided is an estimate based on industry standards for a role of this level and location. Actual compensation may vary based on factors such as experience, skills, and qualifications.
Industry: Travel & Hospitality, with a focus on online travel services and technology
Company Size: 10,001+ employees, with a global presence and a diverse workforce
Founded: 1996, with headquarters in Seattle, WA, USA
Company Description:
Company Specialties:
Company Website: careers.expediagroup.com
ASSUMPTION: Expedia Group is a well-established company with a strong global presence and a reputation for innovation and excellence in the travel industry.
Career Level: Mid-Senior level, with opportunities for growth and advancement within the company
Reporting Structure: This role reports directly to the Marketing Measurement Analytics team within the Traveler Business Team
Work Arrangement: Hybrid work arrangement, with a combination of remote and on-site work
Growth Opportunities:
ASSUMPTION: This role offers opportunities for growth and advancement within the company, with a focus on developing skills and taking on more complex projects over time.
Office Type: Hybrid work environment, with a combination of remote and on-site work
Office Location(s): 407 St John Street, London, England EC1V 4RW, GB
Geographic Context:
Work Schedule: Flexible work schedule, with a focus on results and outcomes rather than hours worked
ASSUMPTION: London offers a dynamic and multicultural work environment, with easy access to major transportation hubs and a wide range of housing options.
Typical Process:
Key Assessment Areas:
Application Tips:
ATS Keywords: Data Analysis, Marketing Analytics, Statistical Techniques, Data Visualization, SQL, R, Python, Critical Thinking, Problem-Solving, Communication, Machine Learning, Collaboration, Data Quality, Business Acumen, Modeling, AB Testing
ASSUMPTION: The interview process for this role is designed to assess technical skills and cultural fit, with a focus on problem-solving and critical thinking skills.
ASSUMPTION: This role requires proficiency in R, Python, and SQL, as well as experience with data visualization tools and big data platforms.
Company Values:
Work Style:
Self-Assessment Questions:
ASSUMPTION: Cultural fit is an important consideration for this role, with a focus on collaboration, data-driven decision-making, and a results-oriented work style.
ASSUMPTION: This role presents unique challenges that require strong technical skills, attention to detail, and the ability to work collaboratively with cross-functional teams.
ASSUMPTION: This role is similar to other marketing analytics roles, but with a greater emphasis on statistical modeling and data visualization, and a focus on real-time data analysis and decision-making in the travel industry.
ASSUMPTION: These sample projects illustrate the types of data analysis and marketing analytics projects that may be required in this role.
ASSUMPTION: These key questions are designed to help applicants better understand the role, the team, and the company, and to assess cultural fit and alignment with personal goals and values.
To apply for this position:
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.