Business Intelligence Engineer, ASP BI

Amazon
Seattle, WA, USA2026-04-28ONSITE

About the job

The Partner Analytics and Reporting Knowledge (PARK) Team has an immediate need for a creative and driven Business Intelligence Engineer (BIE). PARK is a centralized BI team within the ASP Operations BI organization, chartered to transform structured and unstructured data into actionable business insights for the ASP. We identify internal and external business signals, research their impacts, and deliver contextualized reporting tailored for Agentic delivery to specific customer personas.

Responsibilities

Explore and learn the latest AWS technologies and contribute to the team's Agentic reporting development initiatives.

Implement data pipelines from disparate sources to ingest, transform, and store data in a scalable format that other BI builders can leverage for similar metrics.

Gather and understand data requirements by working with cross-functional teams to achieve high-quality and scalable data solutions for our products and mechanisms.

Dive deep into requirements to unearth optimal reporting design (e.g., key dimensions, broadest reporting audience, scalability) with Operations leads and drive constructive technical discussions.

Build end-to-end BI solutions, from data sourcing through visualization and enablement.

Determine data lineage to understand the chain of custody and transformation of data, and build enablement material that scales the impact of your solutions.

Create interactive data visuals with QuickSight, and other AWS-native visualization tools.

Contribute to the curation and maintenance of centralized knowledge repositories and sources of truth for Partner metrics.

Support Executive Reporting (Organizational Level 1-4) including in-depth analyses and standardized reporting sources for ASP LT, SMGS LT, and S-Team reporting.

Participate in causation/correlation research ("finding the Why") to provide proactive insight into trends, churn drivers, and actionable levers.

Qualifications

Minimum

2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

Experience with data visualization using Tableau, Quicksight, or similar tools

Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)

Experience with scripting language (e.g., Python, Java, or R)

Familiarity with Agentic AI concepts, LLMs, or Generative AI tooling in a BI context

Preferred

Master's degree, or Advanced technical degree

Knowledge of data modeling and data pipeline design

Experience with statistica