Senior Data Analyst, Revenue Analytics

Jobtailor; Los Angeles (CA); On-site; USD 110,000 - 140,000; Full time

Job summary

Jobtailor in Los Angeles seeks a senior data analytics professional to own recurring reporting, analyze revenue drivers, and transform data for insights focused on optimization. The role partners with engineering to ensure data quality and delivers visuals to executives.

Expertise in SQL, tools like Power BI/Tableau, and cloud data platforms is required; onsite presence at Woodland Hills three days a week is expected, with strong communication to cross-functional teams.

Qualifications

• Advanced SQL skills for querying, joining, and transforming large datasets
• Experience with data engineering practices for data preparation and validation
• Proficiency in data visualization techniques and tools
• Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Engineering, Computer Science, or Economics
• Strong communication skills; able to explain complex analysis to senior stakeholders

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
• 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 and business initiatives
• Present analytical findings clearly to senior audiences, including assumptions, limitations, and implications for decision-making
• Develop and maintain core yield and revenue analytics supporting pricing, inventory, and trade sales decisions

Skills

Advanced SQL

Data Visualization

Data Engineering

Bachelor's Degree

Communication Skills

Agile

Power BI

Tableau

Cloud Data Warehouses

Data Lakes

Databricks

Travel Industry

Hospitality

Cruise Industry

Education

Bachelor’s degree in a quantitative discipline

Tools

Power BI

Tableau

Databricks

Cloud Data Warehouses

Data Lakes

Job description

• 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
• Develop and maintain core yield and revenue analytics supporting pricing, inventory, and trade sales decisions

Requirements

• 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, or 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, Los Angeles office three days per week, every week
• Must indicate whether employment visa sponsorship will be required

Core Competencies

Demonstrates advanced SQL skills for querying and transforming large datasets, alongside proficiency in data visualization tools like Power BI or Tableau. Capable of delivering accurate and timely reporting while collaborating effectively with cross-functional teams in a fast-paced environment.

Highest-signal resume keywords

• Advanced SQL Skills
• Data Visualization Techniques
• Data Engineering Practices
• Bachelor’s Degree in Quantitative Discipline
• Experience in Travel or Hospitality Industry

ATS Optimization KeywordsHard Skills

• SQL
• Data Preparation
• Data Validation
• Data Analysis
• Data Visualization
• Dashboard Development
• Data Quality Validation
• Metric Governance
• Analytics Modernization
• Statistical Analysis

Soft Skills

• Strong Communication Skills
• Ability to Explain Complex Analysis
• Collaboration
• Adaptability
• Problem-Solving

Industry Keywords

• Revenue Optimization
• Booking Trends
• Pricing Changes
• Cancellations
• Inventory Positions
• Yield Analytics
• Travel Industry
• Hospitality Industry
• Cruise Industry
• Analytics Projects

Tools & Technologies

• Power BI
• Tableau
• Cloud Data Warehouses
• Data Lakes
• Databricks