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Business Intelligence Engineer, ASP BI

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon
Full Time position
Listed on 2026-05-01
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Description

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Specialist and Partners (ASP) organization sits at the heart of this mission, working with partners to extend the reach and impact of AWS globally.

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.

The right candidate will be innovative and technically versatile. They will work in a fast‑paced cloud sales organization within Amazon, using a vast warehouse of data to find actionable insight and key drivers behind the ASP's most visible metrics. This candidate should be an expert in the architecture and implementation of data processing solutions using multiple platforms, excel at designing, creating, and managing large datasets, and consult as a reporting subject matter expert.

The ability to learn new technology, develop a deep understanding of how the ASP operates and its latest strategic priorities, and contribute to the development of Agentic reporting tools is critical.

About the team – PARK consists of Business Intelligence Engineers, Product Managers – Technical, and Technical Program Managers. The team is chartered to establish long‑term reporting solutions, operational frameworks, and business insights for the AWS Partner Organization.

A day in the life

You will build scalable reporting artifacts used across the ASP Partner Organization, partner with Line of Business BI teams, create trusted data artifacts, act as an SME on top‑line metric drivers, communicate insights to stakeholders, and contribute to Agentic reporting development, knowledge curation, and causation research.

Key job 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, 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 Quick Sight 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 levels 1‑4) including in‑depth analyses and standardized reporting sources for ASP LT, SMGS LT, and S‑Team reporting.
  • Participate in causation/correlation research to provide proactive insight into trends, churn drivers, and actionable levers.
Basic Qualifications
  • 2+ years of analyzing and interpreting data with Redshift, Oracle, No

    SQL, etc.
  • Experience with data visualization using Tableau, Quick Sight, or similar tools.
  • Experience with one or more industry analytics visualization tools and statistical methods.
  • Experience with scripting languages such as Python, Java, or R.
  • Familiarity with Agentic AI concepts, LLMs, or generative AI tooling in a BI context.
Preferred Qualifications
  • Master's degree or advanced technical degree.
  • Knowledge of data modeling and data pipeline design.
  • Experience with statistical analysis and correlation analysis.
  • Experience working in a Sales Operations analytics environment.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Amazon also offers comprehensive benefits, including health insurance, 401(k) matching, paid time off, and parental leave.

Base salary range: 82,300.00 –  USD annually.

Location:

Seattle, Washington, USA.

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