Business Intelligence Engineer, FIO Analytics

Description

FBA organization is looking for a customer focused, analytically and technically skilled business intelligence engineer to support the Inventory Optimization organization's analytic needs.

This position will be part of the business analytics team responsible for building out analysis, visualization tools and processes for the FBA FIO businesses. The successful candidate will be able to retrieve, integrate, visualize and present critical data in a format that is immediately useful to improve the business decision process. This role requires an individual with excellent analytical abilities, deep business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoying working with large scale of data.


Key job responsibilities
a. Collaborate with research sciences, product and technology teams in driving step function changes towards influencing seller experience improvements.
b. Collaborate with senior leadership to implement advanced analytics algorithms and model evaluation framework across Capacity and Inventory Management domains
b. Own analytics for key domains across inventory optimization services and deliver self-service analytics at scale
c. Own data governance and stewardship for business critical metrics that influence technology investment decisions
d. Analyze and visualize transaction data to determine seller behaviors, and output solid analysis with recommendations.
e. Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
f. Lead projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
g. Develop queries, statistical analysis, and visualizations for ad-hoc requests and projects, as well as ongoing reporting
h. Partner with product and engineering teams to develop and evaluate Generative AI solutions that enhance analytics capabilities and automate insights generation.

Basic Qualifications

- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- 3 years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1 years of SQL, ETL or Oracle 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
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

- 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

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.

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.