layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Business Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FO LRN at Amazon

Your morning starts with an automated variance report your pipeline generated overnight — IRA missed plan, and the system already attributed the gap to a drop in inventory availability. You add context and push the summary to leadership before 10am. Mid-day, you're building backtesting infrastructure for a scientist's new model, then pairing with a partner team to root-cause an unexpected data drift. In the afternoon, you're developing an AI agent that automates a recurring weekly report — retrieving data, computing breakdowns, and drafting the narrative with human review before publishing. You end the day reviewing a teammate's code change that adds a new marketplace to a forecasting pipeline. The thread across it all: building systems that make the team faster and the forecasts more reliable.
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: Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
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!
Basic Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
3+ years of SQL, ETL or Oracle experience
3+ years of processing large, multi-dimensional datasets from multiple sources experience
3+ years of performing statistical analysis experience
3+ 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

Business Intelligence Engineer - SCOT, Fulfillment Optimization, SCOT-FO LRN

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A day in the life

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