Senior Data Analyst, Revenue Analytics

Viking

. Develop, own, and deliver recurring reporting with a focus on accuracy and timeliness .

Posted 10/17/2026full-timeLos Angeles • California • United StatesSenior💰 $125,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Advanced SQL for data querying and transformation, alongside proficiency in Data Visualization techniques using tools like Power BI or Tableau. Strong communication skills are essential for presenting analytical findings to senior stakeholders in a fast-paced, cross-functional environment.

Highest-signal resume keywords

Advanced SQL SkillsData Visualization TechniquesData Engineering PracticesPower BI or Tableau ProficiencyExperience in Travel or Hospitality Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced SQLData PreparationData ValidationData TransformationData AnalysisData Quality ValidationMetric GovernanceAnalytics ModernizationStatistical AnalysisQuantitative Analysis

Soft Skills

Strong Communication SkillsCollaborationPresentation SkillsAdaptabilityProblem-Solving

Tools & Technologies

Power BITableauCloud Data WarehousesData LakesDatabricks

Industry Keywords

Travel IndustryHospitality IndustryCruise IndustryRevenue OptimizationAnalytics Projects

Tech Stack

Tools & technologies

CloudSQLTableau

About the role

Key responsibilities & impact

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
Partner with Data Engineering to ensure data quality and consistency
Design and deliver data visualizations communicating 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

Requirements

What you’ll need

Advanced SQL skills, including querying, joining, and transforming large datasets
Experience in data engineering practices for data preparation and validation
Proficiency in data visualization techniques and tools
Bachelor’s degree or higher in a quantitative discipline such as Mathematics, Statistics, Engineering, Computer Science, or Economics
Strong communication skills and ability to explain complex analysis to senior or executive stakeholders
Ability to work effectively in a fast-paced, cross-functional, and agile environment
Experience with Power BI or Tableau for dashboard development preferred
Familiarity with modern data platforms such as cloud data warehouses, data lakes, and Databricks preferred
Experience supporting analytics in the travel, hospitality, or cruise industry preferred
Exposure to data quality validation, metric governance, or analytics modernization initiatives preferred
Ability to work onsite at the Woodland Hills, California office three days per week, every week
Must be able to work from the office Monday and Thursday plus one additional weekday weekly
Must answer whether employment visa sponsorship will be required

Benefits

Comp & perks

Annual discretionary bonus
401(k) plan with company match
Medical, dental, vision, life and disability insurance at a highly subsidized rate; some plans fully paid by Viking
15 paid vacation days
Sick time accrual by state
6 paid holidays per year
Free and/or discounted cruise
Highly subsidized gym membership
Discounts on theatres, theme parks, movie tickets, and travel through IATA membership
Great Place to Work certification