OYO - Senior Business Analyst - Revenue Management Team - G6 Hospitality

Senior Business Analyst (US Shift)

G6 Hospitality (Prism) is looking for a Senior Business Analyst to join the Revenue Management team, supporting both Franchise-Owned and Company-Owned business. This role will be central to building data-driven decision-making capabilities for the Revenue function - translating large volumes of performance, pricing, and demand data into clear insights, automated dashboards, and actionable recommendations. The ideal candidate combines strong technical analytics skills (SQL, Python) with business acumen in hospitality revenue management, and has an active interest in using AI/automation tools (including Claude) to streamline recurring analytical workflows.
This role is for US shift (6PM-3AM)
Key Responsibilities
Data Analysis & Reporting
- Analyze RevPAR, ADR, Occupancy, and other key revenue performance metrics across Franchise-Owned and Company-Owned portfolios to identify trends, risks, and opportunities.
- Build, maintain, and continuously improve recurring performance reports (daily, weekly, monthly, quarterly) for Revenue Management and leadership stakeholders.
- Conduct deep-dive and ad hoc analyses on pricing strategy, demand patterns, channel mix, and competitive positioning.
Dashboard Creation & Automation:
- Design and build interactive dashboards (e.g., Power BI, Tableau, or equivalent) that consolidate data from multiple sources into a single source of truth for Revenue stakeholders.
- Automate manual, repetitive reporting processes using SQL, Python, and scripting to reduce turnaround time and minimize errors.
- Own end-to-end data pipelines - extraction, transformation, validation, and visualization - ensuring data accuracy and consistency.

Revenue Management Support
- Partner with Revenue Managers to evaluate pricing decisions, forecast accuracy, and the effectiveness of revenue strategies across both business models.
- Support PMS/RMS-related data requirements, including documentation of reporting logic, data definitions, and system requirements (PRDs) as needed.
- Monitor and flag anomalies in performance data, proactively surfacing insights before they are requested.
Process Improvement & AI Enablement
- Identify opportunities to apply AI/automation tools - including Claude - to streamline data processing, reporting, and routine analytical tasks.
- Document and standardize analytical processes (SOPs) to ensure consistency, scalability, and ease of knowledge transfer across the team.
- Continuously evaluate and recommend tools or workflow improvements that increase the team's analytical efficiency.
Required Skills & Qualifications
- 2-5 years of experience in a Business Analyst, Data Analyst, or Revenue Analyst role, preferably within hospitality, travel, or a related data-intensive industry.
- Strong proficiency in SQL for querying, joining, and manipulating large datasets across multiple sources.
- Working proficiency in Python for data analysis, automation scripting, and process optimization (pandas, numpy, or equivalent libraries).
- Hands-on experience building dashboards and visualizations using tools such as Power BI, Tableau, or similar BI platforms.
- Demonstrated experience automating manual reporting workflows, reducing reporting cycle times, or building self-serve reporting solutions.
- Strong analytical and problem-solving skills, with the ability to translate complex data into clear, actionable business recommendations.
- Solid understanding of core hospitality/revenue management metrics (RevPAR, ADR, Occupancy, Forecast Accuracy) is a strong plus.
- Excellent communication skills, with the ability to present data-driven insights to non-technical stakeholders and senior leadership.
- Bachelor's degree in Business, Statistics, Computer Science, Engineering, or a related quantitative field.
Comfortable working in US shift (6PM-3 AM)
Added Advantage
- Experience using Claude (Anthropic) or similar AI tools to automate analytical workflows, generate code, build documentation, or accelerate reporting processes.
- Exposure to PMS (Property Management Systems) or RMS (Revenue Management Systems) data structures and reporting requirements.
- Familiarity with cloud data warehousing tools (e.g., Snowflake, BigQuery, Redshift) or data pipeline/ETL tools.
- Prior experience supporting both franchise and company-owned business models within a multi-unit or distributed business environment.
What We Offer
- The opportunity to shape analytics and automation capabilities for a high-impact Revenue Management function.
- Exposure to both franchise and company-owned business operations within a large, multi-property hospitality portfolio.
- A collaborative environment that encourages adoption of modern AI and automation tools to drive efficiency.
- Competitive compensation and growth opportunities within the Revenue Management organization.
- Experience using Claude (Anthropic) or similar AI tools to automate analytical workflows, generate code, build documentation, or accelerate reporting processes.
- Exposure to PMS (Property Management Systems) or RMS (Revenue Management Systems) data structures and reporting requirements.
- Familiarity with cloud data warehousing tools (e.g., Snowflake, BigQuery, Redshift) or data pipeline/ETL tools.
- Prior experience supporting both franchise and company-owned business models within a multi-unit or distributed business environment.