Business Intelligence Engineer, WW Ops Finance S&A

This job is with Amazon, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

DESCRIPTION:

World Wide OPS Finance S&A (Standardize & Automate) team is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer (BIE) to join the team.

The role will require an end-to-end understanding of data and reporting; this role requires an individual with excellent analytical abilities as well as business acumen.

The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoying working with large data sets. The successful candidate will be also an expert on creating advanced dashboards, connecting data sources through APIs, complex SQL skills and also passionate about presenting data in a very nice and easy-to-digest way.

Key job responsibilities
Strong understanding of business and lead complex analytical projects to drive product strategy
Owns design, development, and maintenance of scalable solutions for metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
Design and implement comprehensive data strategy across multiple platforms
Create measurement frameworks for new product features and initiatives
Develop data integration solutions between external platforms and internal systems
Establish data governance standards and best practices
Build automated reporting solutions and self-service analytics tools
Conduct deep-dive analyses to identify opportunities and risks
Use agentic platforms and AI-driven systems to automate workflows, processes for customers

BASIC QUALIFICATIONS:

- 3+ years of analyzing and interpreting data with Redshift, Oracle, No

SQL etc. experience

- 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

PREFERRED QUALIFICATIONS:

- Experience with AWS solutions such as EC2, Dynamo

DB, 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 (Use the "Apply for this Job" box below). 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 $89,600/year in our lowest geographic market up to $185,000/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.]]>