Business Intelligence Manager

4 weeks ago

Bengaluru, Karnataka, India ASSPL - Telangana - D82 Full time
Job Title: Business Intelligence Manager

Amazon strives to be the most customer-centric company in the world, where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform. The AOP team is an integral part of this and strives to provide analytical capabilities to fulfill all customer processes in the IN-ECCF regions.

Key Responsibilities:
  • Design, write, and drive detailed specifications for development and maintenance of robust reporting and other analytical systems.
  • Drive development of quantitative models necessary for evaluation and implementation of metrics.
  • Manage and execute entire projects or components of large projects from start to finish, including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
  • Work with partner tech teams to deliver an integrated roadmap.
  • Manage a team of BAs, BIEs, DEs, and Data Scientists to deliver roadmap projects while also delivering personal learning goals and growth.
  • Build OP plans by working closely with senior leadership and stakeholders.
Requirements:
  • 7+ years of business intelligence and analytics experience.
  • 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience.
  • Experience with SQL.
  • Experience with ETL.
  • Experience with data visualization using Tableau, Quicksight, or similar tools.
  • Experience with R, Python, Weka, SAS, Matlab, or other statistical/machine learning software.
Preferred Qualifications:
  • 4+ years of working with very large data warehousing environment experience.
  • 6+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT, and reporting/analytic tools and environments, data structures, and hands-on SQL coding experience.
  • Past Data Engineering experience is preferred. Knowledge of building production pipelines using AWS Services (such as NAWS, Lambda, Kinesis, Firehose, S3, etc.).

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