Senior Data Engineer

1 week ago


Kolkata, West Bengal, India beBeeAnalytics Full time ₹ 25,50,250 - ₹ 35,13,550
About the Opportunity

Role: Supply Analytics Manager

Level: Deputy Manager/Manager

Location: Gurgaon

Reporting to: Senior Manager

About the Function

The Domestic Hotels business is a key line of business, offering travelers access to thousands of hotels across India. With a focus on expanding high-quality supply, fostering strong partner relationships, and delivering distinctive experiences, this segment is central to our vision of redefining travel.

At the heart of this business is the Hotel Supply Strategy team, the strategic and analytical powerhouse driving its goals. The team leads high-impact reporting, accelerates supply-side performance, and uncovers opportunities to scale. By collaborating closely across functions, the team manages overall strategy, supply drives, KRAs, effectiveness, and analytics requirements within the Hotels business.

About the Role

As part of the Hotel Supply Strategy team, this role will anchor the automation charter for the entire Hotels supply ecosystem. The incumbent will play a pivotal role in enabling supply growth by designing automation frameworks, unlocking data-driven insights, and driving the adoption of analytics tools across the business.

This position requires strong leadership and problem-solving skills to transform data into business outcomes, streamline reporting processes, and build scalable solutions that empower decision-making at every level.

Key Responsibilities

  • Drive strategic, cross-functional initiatives to improve key supply metrics and empower the supply team.
  • Lead the rollout of Tableau across the supply organization, ensuring adoption and effective usage.
  • Design and manage the roadmap for dashboards and reports to track KRAs and KPIs for the supply team.
  • Deliver actionable insights using advanced analytics and data visualization to enable data-driven decision-making and execution.
  • Automate manual reporting workflows using Python, SQL, and data engineering best practices to ensure scalability, accuracy, and efficiency.
  • Leverage tools and technologies such as Python, SQL, Tableau, GenAI, and data engineering workflows to strengthen analytical and automation capabilities.
  • Collaborate with Category, Revenue, and Ingo teams to accelerate growth in room nights and GMV.
  • Prepare impactful presentations and business reviews for leadership to support strategic discussions and decision-making.

Qualification & Experience

  • Bachelor's or Master's degree in Engineering or a related field, with 7–10 years of experience focused on automation and analytics-driven initiatives.
  • Proficiency in Python, SQL, Tableau, data engineering workflows, MS Excel, and PowerPoint.
  • Proven track record of leading automation, driving analytics adoption, and enabling performance improvement at scale.

Key Success Factors

  • Strong ability to extract insights from data, build dashboards, and support strategic decision-making through metrics-driven analysis.
  • Proven experience in leading cross-functional initiatives that drive supply performance, partner experience, and business growth.
  • Strong business acumen with a focus on identifying growth levers, optimizing processes, and aligning with organizational priorities.
  • Excellent communication and problem-solving skills, with the ability to simplify complex ideas for diverse stakeholders.
  • Ability to multitask, manage deadlines, and collaborate effectively across teams in a fast-paced environment.

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