Business Intelligence Manager

2 weeks ago


Bengaluru, Karnataka, India AWS India - Karnataka - D11 Full time

Job Summary

The AWS India - Karnataka - D11 team is seeking a highly skilled Business Intelligence Manager to lead our analytical requirements and drive business strategy. As a key member of our team, you will be responsible for managing a team of Business Analysts, Business Intelligence Engineers, and Data Engineers to conduct deep dive analyses and build robust business intelligence solutions.

Key Responsibilities

  • Design, develop, and implement detailed specifications for development and maintenance of robust reporting and analytical systems.
  • Drive the 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 closely with partner tech teams to deliver an integrated roadmap.
  • Manage a team of Business Analysts, Business Intelligence Engineers, and Data Engineers to deliver roadmap projects while also delivering personal learning goals and growth.
  • Build operational 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 and 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.
  • Past Data Engineering experience is preferred.
  • Knowledge of building production pipelines using AWS Services (such as NAWS, Lambda, Kinesis, Firehose, S3 etc.).
  • 6+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT.
  • Experience in reporting/analytic tools and environments, data structures.
  • Hands-on SQL coding experience.


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