Business Intelligence Engineer, WW Ops Finance S&A

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, NoSQL 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, 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 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.