Data Business Intelligence Specialist

23 hours ago

Mumbai, Maharashtra, India beBeeDataManagement Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Job Title: Business Intelligence Analyst

An accomplished Business Intelligence Analyst is required to lead the design, implementation, and governance of data assets across the aviation business. This role will ensure that data is structured, accessible, and trusted to support operational excellence and strategic decision-making.

Key Responsibilities:
  • Manage the end-to-end data lifecycle, from acquisition and modelling to cataloguing and governance.
  • Design and maintain complex data models to support aviation operations and analytics.
  • Ensure metadata and data catalogue tools are maintained for discoverability and lineage tracking.
  • Deliver scalable and secure data products on cloud platforms like AWS or Azure.
  • Apply foundational data transformation techniques using SQL and Python to prepare data for consumption.
  • Collaborate with cross-functional teams to define data requirements and ensure alignment with business goals.
  • Champion data quality, integrity, and compliance across systems and processes.
Required Skills and Qualifications:
  • Proven experience in data management and governance across all stages of the data lifecycle.
  • Deep understanding and hands-on experience with complex data modelling techniques.
  • Proficiency in metadata management and data cataloguing tools.
  • Demonstrated delivery of data products within cloud ecosystems (AWS or Azure).
  • Strong SQL and Python skills for data manipulation and transformation.
  • Excellent communication and stakeholder management capabilities.
  • Customer-centric mindset with a pragmatic approach to value delivery and execution.
  • Strong attention to detail and a commitment to data excellence.
  • Solid business acumen and ability to align data initiatives with strategic objectives.
Domain Expertise (Mandatory):
  • Achieved success in SAP ERP and MDG, including master data governance and enterprise resource planning.
  • Aviation industry knowledge, enabling contextualization of data to drive insights and innovation.
  • Commercial aspects of the Aviation industry, including customer location profitability, pricing strategies, and their impact on commercial performance.

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