Sr. BIE, AWS Specialists and Partners Operations

AmazonMountain View, CA
$130,400 - $202,800Onsite

About The Position

The Partner Analytics & Reporting Knowledge (PARK) team, within the AWS Specialists & Partners Operations Org (ASP Ops), has an immediate need for a creative and driven Sr Business Intelligence Engineer (BIE). As a Sr Business Intelligence Engineer on this team, you will design and build agentic reporting solutions that go beyond static dashboards — creating intelligent, extensible data artifacts that surface actionable insights autonomously. You will embed deeply with business stakeholders across the AWS Partner organization to understand their highest-priority questions, then engineer reporting workloads that answer those questions proactively, at scale. You are technically versatile (ETL, Python, SQL, visualization) and relentlessly focused on business impact. Your deliverables will accelerate the partner organization by identifying key drivers behind top-line metrics and translating them into clear next steps for sales and leadership teams.

Requirements

  • 10+ years of professional or military experience
  • 5+ years of SQL experience
  • Knowledge of data warehousing and data modeling
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Familiarity with LLMs and their application in solving real world business problems.

Nice To Haves

  • Experience working directly with business stakeholders to translate between data and business needs
  • Experience managing, analyzing and communicating results to senior leadership
  • Experience mentoring an engineering community on complex technical issues
  • Experience with AI/ML technologies
  • Experience designing and operating agentic reporting workflows

Responsibilities

  • Build agentic reporting solutions — Design, develop, and operate intelligent reporting workloads that autonomously generate, refresh, and distribute actionable data artifacts across the partner organization.
  • Create extensible, actionable data artifacts — Engineer centralized reporting assets (metrics, dashboards, automated analyses) built for reuse by peer BI teams, with clear interfaces and scalable architecture.
  • Get closer to the business — Partner directly with executive leadership and geographically based sales teams to deeply understand their operating rhythms, KPIs, and decision points, then build reporting that maps precisely to those needs.
  • Drive insight-to-action — Go beyond descriptive reporting: proactively surface recommendations grounded in statistical analysis, cross-referenced data sources, and industry benchmarks.
  • Own metrics and standardization — Define, develop, and maintain business-critical metrics and reports across all business levers, KPIs, and financials; drive alignment and consistency across global sales teams and executive reporting.
  • Advance AI/ML-powered reporting — Apply Generative AI and agentic AI patterns to raise the bar on reporting automation, insight generation, and stakeholder self-service across the partner organization.
  • Provide thought leadership — Lead global business deep dives, communicate findings to executive management, and shape the analytical strategy for the organization.
  • Inform data infrastructure — Provide data engineering teams with functional and technical requirements to improve pipeline efficiency, data quality, and the extensibility of the underlying data platform.
  • Partner cross-functionally — Collaborate with engineering, product, business, and finance teams to create KPIs, measurement methodologies, and scalable analytical frameworks.

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
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