Senior Data Analytics Specialist

2 days ago

Gandhinagar, Gujarat, India beBeeData Full time ₹ 15,00,000 - ₹ 20,10,000

Job Overview

This role requires a data leader to drive the design, implementation, and governance of data assets across the aviation business.

The ideal candidate will ensure data is structured, accessible, and trusted to support operational excellence and strategic decision-making.

Key Responsibilities:

  • Lead the end-to-end data lifecycle management, from acquisition and modelling to cataloguing and governance.
  • Design and maintain complex data models that support aviation operations and analytics.
  • Manage metadata and data catalogue tools to ensure discoverability and lineage tracking.
  • Deliver scalable and secure data products on cloud platforms such as 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 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)

  • SAP ERP and MDG: Applied experience with core systems, particularly in master data governance and enterprise resource planning.
  • Aviation business knowledge:
  • Ability to contextualize data within the aviation business landscape to drive insights and innovation.
  • Knowledge and experience of commercial aspects of Aviation industry.
  • Deep understanding of customer location profitability, pricing strategies and its impact on commercial performance.

Benefits

  • Hybrid working model.
  • Day rate on offer ($).

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