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Business Intelligence Manager III, WW Prime - Seattle, United States - Amazon
Description
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.
The BI landscape is fast evolving with various data regulations, Prime's new business models being innovated and inventive disruptions coming to the fore. You will need to work with business and tech stakeholders across the globe, and shape the direction of Prime BI's future. Having an entrepreneurial and a learning mindset to enable your teams to experiment, fail-fast, and invent new solutions are key for success in this role.
As you build towards the future, it is critical to raise the bar on BI systems, and processes to be efficient and scale for the needs of your customers and business. This will involve setting a technical vision for your teams, scaling BI Data Architecture, reducing tech-debt systematically, continuously raising the bar on operational excellence and delivery.
As a leader at Amazon, you will hire, develop, coach, mentor diverse talent for your team and for Amazon across geographies. You create a culture of inclusion, ownership, customer and delivery focus.
Key job responsibilities
Build Inclusive team and Culture: Build customer-obsessed and inclusive teams who are inventive, challenge status-quo, experiment, fail-fast and drive long term thinking.
Define Data, Analytics, BI Vision: Define the vision and drive a bold strategy to achieve them.
Improve Business trust and ROI: Build BI products and solutions which improve the trust of Prime Business Stakeholders and reduce the time and effort taken by businesses to get their data, insight, analysis faster.
Build and operate: Invent and simplify the various core data, analytics, BI services and products. Reduce operational burden, build and scale customer delighting features.
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
A day in the life
Build Inclusive team and Culture: Build customer-obsessed and inclusive teams who are inventive, challenge status-quo, experiment, fail-fast and drive long term thinking.
Define Data, Analytics, BI Vision: Define the vision and drive a bold strategy to achieve them.
Improve Business trust and ROI: Build BI products and solutions which improve the trust of Prime Business Stakeholders and reduce the time and effort taken by businesses to get their data, insight, analysis faster.
Build and operate: Invent and simplify the various core data, analytics, BI services and products. Reduce operational burden, build and scale customer delighting features.
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
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
Basic Qualifications
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
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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $114,700/year in our lowest geographic market up to $223,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.