Senior Data Analyst, Revenue Analytics
About The Position
The Senior Data Analyst, Revenue Analytics develops and maintains core yield and revenue analytics to help leadership and commercial teams make pricing, inventory, and trade sales decisions. The role uses SQL-based data models, Revenue Management System datasets, and data visualization tools to turn complex, multi-source data into actionable business insights. The analyst works with technical and commercial teams, supports analytical reviews, and communicates findings to stakeholders. This is a hybrid position based in Viking’s Woodland Hills, Los Angeles office. Employees work onsite Monday and Thursday, plus one additional weekday each week, in accordance with the hybrid work policy.
Requirements
- Advanced SQL skills, including experience querying, joining, and transforming large datasets.
- Experience in data engineering practices for data preparation and validation.
- Proficiency in data visualization techniques and tools for communicating analytical findings.
- Bachelor’s degree or higher in a quantitative discipline, such as Mathematics, Statistics, Engineering, Computer Science, or Economics.
- Strong communication skills and demonstrated ability to explain complex analysis to senior or executive stakeholders.
- Ability to work effectively in a fast-paced, cross-functional, and agile environment.
Nice To Haves
- Experience with Power BI or Tableau for dashboard development.
- Familiarity with modern data platforms, such as cloud data warehouses, data lakes, or Databricks.
- Experience supporting analytics in the travel, hospitality, or cruise industry.
- Exposure to data quality validation, metric governance, or analytics modernization initiatives.
Responsibilities
- Develop, own, and deliver recurring reporting with a focus on accuracy and timeliness.
- Analyze booking trends, pricing changes, cancellations, and inventory positions to support revenue optimization decisions.
- Prepare and transform datasets for analytical use, partnering with Data Engineering to ensure data quality and consistency.
- Design and deliver data visualizations that communicate trends, drivers, and trade-offs to senior stakeholders.
- Collaborate with Data Science, RMS engineering, and commercial teams on analytics projects, system changes, and business initiatives.
- Present analytical findings clearly to senior audiences, including assumptions, limitations, and implications for decision-making.
Benefits
- Annual discretionary bonus eligibility.
- 401(k) plan with company match.
- Medical, dental, vision, life, and disability insurance at a highly subsidized rate; some plans are fully paid by Viking.
- 15 paid vacation days, sick time accrual by state, and 6 paid holidays per year.
- Free and/or discounted cruise opportunities.
- Highly subsidized gym membership.
- Discounts on theatres, theme parks, movie tickets, and travel through IATA membership, among other discounts.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
