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# Senior Data Analyst, Revenue Analytics

- **Company:** Viking Cruises
- **Location:** Los Angeles, CA, United States
- **Experience:** Expert
- **Salary:** $125,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Cloud Database, Data Cleansing, Information Engineering, Data Infrastructure, Data Systems, Data Visualization, Power BI, SQL Databases, Tableau (Software), Sql Optimization, Data Lakes, Information Technology, Databricks
- **Published:** October 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=cd9b83163a14d4a8

## About the Role

* 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.

## Description

This is a hybrid position based in our Woodland Hills, Los Angeles office. You will be required to adhere to our hybrid work policy, working from our office Monday and Thursday plus one additional weekday on a weekly basis., * 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.