Senior BI Analyst
Flight Centre View all jobs
- Noida, Uttar Pradesh
- Permanent
- Full-time
- 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.
- 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.
- 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
- 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
- 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
- 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
- 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