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.
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.
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.
Bachelors 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 $100000 - $120000 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.
Job OverviewThe 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 ...
Job Overview
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.
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.
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.
Bachelors 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 $100000 - $120000 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.