Senior Business Analyst

• Partner with business stakeholders to translate analytical questions into practical data, analytics, and AI-enabled solutions.
• Identify opportunities where advanced analytics and AI can improve decision making and operational performance.
• Act as a trusted analytics advisor, helping teams understand how data and AI can address business challenges.
• Develop and maintain curated datasets and semantic data models that make enterprise data easier to understand and use.
• Enable business users to explore trusted data through modern analytics interfaces and AI-assisted tools, ensuring outputs are reliable, well documented, and aligned with data governance standards.

• Design and evolve scalable data models that support reporting, analytics, and AI driven data interaction.
• Develop curated datasets that are structured and semantically clear for both business users and AI tools.
• Work with Data Engineering teams to align data pipelines and curated datasets with analytics and AI use cases.
• Prepare datasets suitable for exploratory analysis, advanced analytics, and potential machine learning applications.

• Design, develop, and maintain Genie Rooms within Databricks to enable natural language interaction with trusted enterprise data.
• Maintain clear metadata, documentation, and business definitions to improve how AI tools interpret enterprise datasets.
• Identify high-value conversational analytics use cases and guide business teams on effective use of these tools.
• Monitor and refine Genie Rooms to ensure accurate responses, strong governance, and alignment with enterprise data standards. AI-Enabled Analytics & Innovation 
• Champion the adoption of AI-assisted analytics workflows, including tools such as Claude Enterprise.
• Explore opportunities where AI can accelerate analysis, insight generation, and knowledge sharing.
• Prototype new approaches that leverage AI to improve business insights and decision support, while ensuring responsible and governed use of AI tools. Collaboration & Delivery 
• Collaborate with BI developers, data engineers, and data scientists to bridge reporting, advanced analytics, and AI-driven insights.
• Follow established development lifecycle practices including analysis, design, testing, implementation, and support.
• Maintain analytics environments, documentation, and data definitions to support consistent and scalable analytics delivery.
• Partner with internal stakeholders to support analytics initiatives and strategic projects across the organisation.

• Strong analytical and problem-solving skills
• Experience working with complex datasets and database structures
• Understanding of modern analytics architectures including lakehouse platforms
• Ability to translate business questions into analytical frameworks
• Curiosity to explore emerging analytics and AI capabilities Commercial Acumen 
• Ability to identify opportunities for improving business performance through analytics
• Understanding of operational and financial drivers within the travel industry
• Ability to communicate insights clearly and influence decision-making High Attention to Detail 
• Strong focus on data accuracy and analytical integrity
• Ability to identify anomalies and inconsistencies in large datasets
• Comfortable working with complex and evolving data environments
• Ability to manage competing priorities in an Agile environment Communication 
• Strong verbal and written communication skills
• Ability to explain complex analytical concepts to non-technical audiences
• Ability to build trusted relationships with business stakeholders

• Works effectively as part of a multidisciplinary analytics team
• Builds positive relationships across business and technology teams
• Contributes to a culture of collaboration, learning, and continuous improvement 

• Experience developing reports and analytical solutions using tools such as Power BI
• Experience working with modern analytics platforms including Databricks
• Familiarity with lakehouse architectures and enterprise analytics platforms

• Strong SQL querying and data analysis skills
• Experience working with large-scale analytical datasets
• Understanding of modern data warehousing and lakehouse concepts AI-Assisted Analytics 
• Experience leveraging AI tools such as Genie and Claude Enterprise to support analysis, insight generation, and documentation
• Understanding of how AI can enhance analytics workflows and decision support
• Curiosity and willingness to explore emerging analytics and AI capabilities

Since our beginning, our vision has always been to open up the world for those who want to see. 

As a global travel retailer, our people come from all different backgrounds, and our connections spread to the far reaches of the globe - 20+ countries and counting! Together, we are a family (we call ourselves Flighties).  

We offer genuine opportunities for people to grow and evolve. We embrace new experiences, we celebrate the wins, seize all opportunities, and empower all of our people to find their Brightness of Future. 

We encourage you to DREAM BIG through collaboration and innovation, and make sure you are supported to make incredible ideas a reality. Together, we deliver quality, innovative solutions that delight our customers and achieve our strategic priorities. 

Applications close: 08 Jul 2026 India Standard Time

Back to search results Apply now Refer a friend