Are you interested in being part of a high visibility, strategic team that directly impacts Amazon worldwide? The Core Selling Partner Experience team defines, implements, and enforces quality standards for all Amazon-built experiences for all of our selling partners worldwide and supports our Global Selling program. We are seeking an experienced Business Intelligence Engineer (BIE) to join our Governance team, which is focused on measuring the quality of the Selling Partner Experience. Specifically, this role will partner with engineering, science, and product leaders to provide insights on the Seller experience, create key performance indicators, design and develop scaled, automated, user-friendly reporting, and partner on unlocking opportunities for our selling partners by breaking down complex problems. The successful candidate will be detail-oriented, skilled at blending advanced reporting with strong critical thinking and project management skills, and be experienced in designing and delivering
cross-functional custom reporting solutions.
The successful candidate will be a motivated self-starter that can work in a fast-paced, data-driven environment; have great bias for action; be deeply customer-centric; love working autonomously and with others both on our team and off, and has a drive to own, build, and grow; along with the ability to have a little bit of fun.
Key job responsibilities
-Establish architectural patterns for enterprise analytics solutions
-Design technical standards and best practices for analytics delivery
-Create frameworks for metrics definition and governance
-Lead implementation of strategic analytics initiatives
-Drive innovation in analytics capabilities
-Design and implement technical solutions with appropriate analytics strategy and data set design
-Ensure BI solutions correctly and efficiently support the business
-Mentor team members on architecture and design
-Communicate effectively with management audiences through narratives and business reviews
- 3+ years of analyzing and interpreting data with
Redshift,
Oracle, NoSQL etc. experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 3+ years of in the job offered or a related occupation experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- Experience with data visualization using
Tableau, Quicksight, or similar tools
- Experience with
data modeling, warehousing and building
ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (
Python) to process data for modeling
- Experience developing, deploying and managing AI products at scale
- Experience with
AWS solutions such as
EC2,
DynamoDB,
S3, and
Redshift- Experience in data mining,
ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually