WW Ops Sustainability BI team is seeking an exceptional Business Intelligence Manager in our team. The Business Intelligence Engineer Manager will also be responsible for driving analytical strategy and enable data driven decision making. Another key aspect of the job is to unearth insights. This position requires exceptional managerial skills, statistical knowledge, superior analytical abilities, knowledge of business intelligence solutions and exposure to efficient data engineering practices. The BIE Manager will also be a stakeholder manager as they will have to work closely with senior tech and non-tech stakeholders/leaders. Candidate should be comfortable with ambiguity, capable of working in a fast-paced environment, continuously improving technical skills to meet business needs, possess attention to detail and be able to collaborate with customers to understand and transform business problems into requirements and deliverables.
This is a unique, high visibility opportunity for someone with a passion to dive deep into disparate, large-scale data sets, surface data that provide insights to leaders and ultimately have an impact on the reducing carbon emissions in WW Operations. The team works with stakeholders across Amazon to drive, report and implement initiatives that will help Amazon achieve Climate Pledge by 2040, interfaces with Core Operations, Network Planning, Business Development, Finance, WW Sustainability, Procurement and Science teams to ingest data, compute metrics and surface insights which help track the carbon intensity of Amazon shipments and identify opportunities that will benefit the environment.
The candidate will need to understand the complexities of a high growth, fast-paced, high performing organization and possess the ability to handle multiple, abstract projects while dealing with constant change. They should have a strong desire to achieve results, continuously raise the bar, and demonstrate an ability to effectively manage time, priorities and deliverables.
Key job responsibilities
In this role, you will lead and develop a team of BIEs to accomplish business team's goals and charters. You will learn the ins and outs of all facets of WW Operations Sustainability, and be a trusted partner to teams by sharing data-driven insights and actions based on deep understanding of the business. You will hire and develop talents to deliver strong results ranging from reporting, automated insight generation, advanced analytics, comprehensive datasets, at standards that raise the bar for the rest of the organization.
- Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc.
- Partner with operations/business teams to consult, develop and implement key performance indicators (KPI’s), automated reporting/process solutions and data infrastructure improvements to meet business needs.
- Apply analytic skill to extract meaningful insights and learnings from large and complicated data sets.
- Serve as liaison with Business and technical teams to achieve project objectives, requiring data gathering, problem solving, modeling, and communication of insights and recommendations.
A day in the life
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,100/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
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
