Senior Business Intelligence Manager

2 weeks ago

Bengaluru, Karnataka, India ASSPL - Telangana - D82 Full time
  • Job Summary
  • Amazon is seeking a highly skilled Business Intelligence Manager to join its team in Bengaluru, India. The ideal candidate will have a strong background in business intelligence and analytics, with experience in managing teams and driving strategic initiatives.
  • About the Role
  • The Business Intelligence Manager will be responsible for leading a team of Business Analysts, Business Intelligence Engineers, and Data Engineers to design, develop, and maintain robust reporting and analytical systems.
  • The role involves driving the development of quantitative models necessary for evaluation and implementation of metrics, as well as managing and executing entire projects from start to finish.
  • The successful candidate will have a proven track record of delivering results in a business intelligence or analytics team, including experience with SQL, ETL, data visualization, and statistical/machine learning software.
  • 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.
  • Working with partner tech teams to deliver an integrated roadmap.
  • Managing a team of BAs, BIEs, DEs and Data Scientists to delivery roadmap projects while also delivering their personal learning goals and growth.
  • Building 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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