Manager, Business Intelligence Engineering
DESCRIPTION
The Customer Trust team within the Device, Digital and Alexa Support (D2AS) organization is looking for an enthusiastic and motivated Business Intelligence Engineering Manager to join a collaborative team that improves the customer experience for millions of Amazon Customers!
In this role, you'll actively contribute to leadership discussions, shape our strategy based on customer behavior insights, and oversee the creation of business analytics dashboards and analyses. The ideal candidate is self-motivated, comfortable with uncertainty, and able to think creatively on a large scale. As the Business Intelligence Engineering (BIE) Manager, you should have expertise in designing data warehouse solutions for large organizations across multiple platforms, strong skills in handling very large datasets, and excellent communication abilities to work effectively with business analysts and data engineers. As the business changes, you should be able to learn new things and pivot quickly with a builder and start-up mindset.
Key job responsibilities
- Work closely with the Product Managers, Scientists, Engineers, and Data Engineers on developing BI/analytics solutions to measure the performance of new and existing solutions (including ML models) and surface new opportunities for improvements.
- Build and analyze key metrics to uncover trends and root causes of issues and own ad-hoc deep dive investigations into existing customer journeys to identify root causes of issues and surface improvement opportunities.
- Own the design, development, and maintenance of ongoing data pipelines, metrics, reports, visualizations, analyses, dashboards, etc. to drive business decisions.
- Work with the D2AS stakeholders to migrate visualization tools to better adapt applications within the AWS ecosystem. In this effort, you will migrate existing dashboards, test, deploy and train users in the new visualization tool.
- Manage, coach, and develop a team of Business Analysts and Business Intelligence Engineers.
- Maintain internal infrastructure to support data requests
- Actively participate in the future of Customer Trust as a valuable member of the Customer Trust Leadership Team
A day in the life
Your day begins with a team huddle, energizing your staff with positive encouragement and setting clear goals. You spend the morning coaching team members on data analysis techniques, fostering their growth and confidence. After lunch, you join a leadership meeting, contributing valuable insights on customer behavior trends. The afternoon involves exploring cutting-edge data visualization tools, excited about their potential to enhance your team's capabilities. You end the day by conducting one-on-one check-ins, offering support and guidance to your staff. Throughout it all, your attitude and passion for learning new technologies inspire your team to push boundaries and deliver exceptional results.
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!
Benefits summary:
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
About the team
Customer Trust advocates on behalf of our customers and protects their experience. On this team, you will partner with teams from Executive Escalations to a Digital Command Center to Product Safety and Offensive Content.
The Customer Trust leadership team emphasizes trust and collaborative interactions between members who raise the bar on the customer experience. The team is excited when fresh ideas are brought to the table and everyone is encouraged to come as they are and express their valuable thoughts and opinions.
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.
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.