Business Intelligence Engineer, ASP BI

Amazon • Seattle, WA

22h • Onsite

About The Position

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. The right candidate will be innovative and technically versatile. They will have the opportunity to 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. They should excel in the design, creation, management, and business use of extremely large datasets. The role requires excellent business and communication skills to work effectively with fellow BIEs, Operations leads, and Sales stakeholders to consult as a reporting subject matter expert and provide innovative reporting solutions. The ability to learn new technology, develop deep understanding of how the ASP operates and its latest strategic priorities, and contribute to the development of Agentic reporting tools is critical to the role.

Requirements

• 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

Nice To Haves

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis
• Experience working in a Sales Operations analytics environment

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.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level