Job Description

Location: Los Angeles,California,United States

The Senior Data Analyst, Revenue Analytics is a key contributor at the intersection of yield strategy, analytics, and data systems. This role is responsible for developing and maintaining core yield and revenue analytics that enable leadership and commercial teams to make pricing, inventory, and trade sales decisions. The position requires hands-on work with SQL-based data models, Revenue Management System (RMS) datasets, and data visualization tools to transform complex, multi-source data into actionable business insights. The analyst will collaborate with technical and commercial teams, supporting analytical reviews and clear communication of findings to stakeholders.

Job 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 effectively communicate trends, drivers, and trade-offs to senior stakeholders.
• Collaborate with Data Science, RMS engineering, and commercial teams to support execution of analytics projects, system changes, and business initiatives.
• Present analytical findings clearly to senior audiences, including assumptions, limitations, and implications for decision-making.

Job 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 to communicate analytical findings.
• Bachelor’s degree or higher in a quantitative discipline (e.g., Mathematics, Statistics, Engineering, Computer Science, Economics).
• Strong communication skills, with demonstrated ability to explain complex analysis to senior or executive stakeholders.
• Ability to work effectively in a fast-paced, cross-functional, and agile environment.

Preferred Qualifications

• Experience with Power BI or Tableau for dashboard development.
• Familiarity with modern data platforms (e.g., cloud data warehouses, data lakes, Databricks).
• Experience supporting analytics in the travel, hospitality, or cruise industry
• Exposure to data quality validation, metric governance, or analytics modernization initiatives.

What We Offer You:

• Highly competitive compensation plan.
  • • Salary range $100,000 - $120,000 annually determined by a myriad of factors including, but not limited to, years of experience, depth of experience, individual qualifications and other relevant business considerations.
    • Employees are eligible for annual discretionary bonus.
    • 401(k) plan with company match.
• Full benefits including medical, dental, vision, life and disability insurance at a highly subsidized rate (some plans are fully paid by Viking).
• Accrue 15 paid vacation days, sick time accrual by state, and 6 paid holidays per year.
• Opportunity to take a free and/or discounted cruise.
• Highly subsidized gym membership.
• Discounts on theatres, theme parks, movie tickets, travel discounts through IATA membership and too many more discounts to name.

Viking is a certified Great Place to Work company. This certification is a result of our commitment to excellence, integrity and our teams’ outstanding contributions.

About Viking

Viking was founded in 1997 and provides destination-focused voyages on oceans, rivers and lakes around the world. Designed for experienced travelers with interests in science, history, culture and cuisine, Chairman Torstein Hagen often says Viking offers experiences for The Thinking Person®.

Viking has more than 250 awards to its name, including being rated #1 for Rivers, #1 for Oceans and #1 for Expeditions by Condé Nast Traveler and voted at the top of its categories by Travel + Leisure. No other cruise line has ever received these same honors by both publications at the same time.

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