Amazon BIE Manager BI & Analytics Team 

India, Karnataka, Bengaluru 

619639921

Key job responsibilitiesResponsibilities:
* 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 stakeholdersAbout the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSWork/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional

- 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

- 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