Amazon Business Intelligence Manager III WW Prime - Core Services 

United States, Washington, Seattle 

23927272

Prime's BI, Data and Analytics vision is to enable WW Prime Businesses (25+) to understand members deeply, empower businesses to rapidly experiment on innovative Prime member CX and enable them to personalize products based on data and insights, and accelerate WW Prime's growth profitably.
To ensure Prime business leverage the right data for strategic decisions we focus on building cutting edge data and analytics solutions by being n-steps ahead of the business. This involves designing and building modern scalable BI systems for analytics, automatic insights, self-service Hands-off-the-wheel data tools for analytics. In this role, you will own setting the BI, Data and Analytics vision, strategy, roadmap, multi-year plans, execution and delivery. You will need to understand the business and customer needs, build solutions working backwards of them with long-term focus.
Key job responsibilities
Define Data, Analytics, BI Vision: Define the vision and drive a bold strategy to achieve them.Drive scale: Build repeatable and efficient processes/mechanisms which scale well in technology, prioritization, operational excellence
A day in the life of a Prime BI Manager
1. Review BI Projects as per the roadmap documents, prioritization and track progress.
2. Align, teach, coach BI mental models and strategy to solve customer problems. Focus on creating more insights than "transactionally" delivering BI projects.
3. Help make one-way door decision and empower team to make two-way door decision.
4. Influence stakeholders on direction of building the right BI product and metrics for their business.
5. Dive deep on key bottlenecks, audit and help teams problem solve for them
6. Inspect metrics and anecdotes
7. Coach directs, skip team members, and mentees helping them in their career growth
BASIC QUALIFICATIONS
• Bachelor's degree in computer science, business, economics, math, finance, or similar fields.
• 10+ years of technical management in Data, Analytics and Business Intelligence.
• 5+ years of experience in building and operating large-scale technology systems.
PREFERRED QUALIFICATIONS
• Ability to influence at all levels in a global matrix-orgs.
• Experience working internationally, and building global solutions.
• A deep understanding of software development in a team, and a track record of shipping software on time
• Experience managing cross functional teams in a fast-paced company
• Strong written and verbal communication
Define Data, Analytics, BI Vision: Define the vision and drive a bold strategy to achieve them.Drive scale: Build repeatable and efficient processes/mechanisms which scale well in technology, prioritization, operational excellence
A day in the life of a Prime BI Manager
1. Review BI Projects as per the roadmap documents, prioritization and track progress.
2. Align, teach, coach BI mental models and strategy to solve customer problems. Focus on creating more insights than "transactionally" delivering BI projects.
3. Help make one-way door decision and empower team to make two-way door decision.
4. Influence stakeholders on direction of building the right BI product and metrics for their business.
5. Dive deep on key bottlenecks, audit and help teams problem solve for them
6. Inspect metrics and anecdotes
7. Coach directs, skip team members, and mentees helping them in their career growth
BASIC QUALIFICATIONS
• Bachelor's degree in computer science, business, economics, math, finance, or similar fields.
• 10+ years of technical management in Data, Analytics and Business Intelligence.
• 5+ years of experience in building and operating large-scale technology systems.
PREFERRED QUALIFICATIONS
• Ability to influence at all levels in a global matrix-orgs.
• Experience working internationally, and building global solutions.
• A deep understanding of software development in a team, and a track record of shipping software on time
• Experience managing cross functional teams in a fast-paced company
• Strong written and verbal communicationSeattle, WA, USA

- 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

- 4+ years of working with very large data warehousing environment experience
- 10+ 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