Business Intelligence Analyst

Overview

Lji is seeking a Business Intelligence Analyst to join its growing BI team, building dashboards, identifying trends, and translating business requirements into actionable insights.

What you'll do

• Develop and maintain BI dashboards and reports to track business and operational performance.
• Analyse hospitality metrics such as occupancy rates, Average Daily Rate (ADR), RevPAR, room revenue, booking trends, cancellation rates, and guest behaviour.
• Analyse historical and current data to identify trends, revenue optimisation opportunities, and operational inefficiencies.
• Gather requirements from business stakeholders and translate them into meaningful dashboards and analytical solutions.
• Extract, transform, validate, and analyse data using SQL and BI tools.
• Perform root cause analysis to identify data discrepancies and business performance trends.
• Support forecasting and trend analysis for room demand, occupancy, revenue performance, and seasonal business patterns.
• Collaborate with Product, Engineering, Data Engineering, Customer Success, and business teams.
• Identify opportunities to automate recurring reports and improve reporting efficiency.

What you'll need

• 0–3 years of experience in Business Intelligence, Data Analytics, MIS Reporting, or a similar role.
• Strong proficiency in SQL, relational databases, and data analysis.
• Hands-on experience with Power BI, Tableau, Looker, or similar BI tools.
• Understanding of dashboard development, KPI reporting, data validation, and reporting processes.
• Strong analytical and problem-solving skills with the ability to interpret business data.
• Ability to understand business requirements and translate them into actionable insights.
• Good communication skills and the ability to collaborate with cross-functional stakeholders.

Nice to have

• Exposure to the hospitality, hotel, travel, or hospitality technology industry.
• Understanding of hospitality KPIs such as Occupancy Rate, ADR, RevPAR, and GOPPAR.
• Familiarity with Hotel Management Systems (PMS), Central Reservation Systems (CRS), or Revenue Management Systems (RMS).
• Knowledge of revenue management, booking patterns, customer segmentation, and guest experience analytics.
• Familiarity with Python, cloud data platforms, ETL processes, and data warehousing.