Senior Financial Analyst, AWS Sales Analytics

AmazonSeattle, WA
Onsite

About The Position

Amazon Web Services (AWS) is seeking a Senior Financial Analyst to join the Sales, Marketing, and Global Services (SMGS) Finance organization. This role is positioned at the intersection of sales pipeline analysis and revenue forecasting, providing critical insights to AWS's senior leadership for evaluating financial performance and assessing the health of the global sales pipeline. The analyst will translate sales pipeline data into actionable signals that influence revenue guidance and operating plan development. Key activities include modeling relationships between pipeline inputs and revenue outcomes, tracking conversion dynamics, and developing analytical frameworks to distinguish predictive signals from noise. The role requires comfort with ambiguity, intellectual curiosity, and the ability to synthesize internal datasets into a coherent analytical narrative, fostering a deep understanding of AWS's revenue engine, pipeline economics, and sales motion.

Requirements

  • 3+ years of tax, finance or a related analytical field experience
  • 3+ years of dissecting financial data and identifying patterns that support business strategy experience
  • Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
  • 3+ years of contributing to cross-functional initiatives that drive financial performance and strategy experience

Nice To Haves

  • MBA, or CFA
  • 3+ years of experience working with sales pipeline or CRM data (e.g. Salesforce) and building models that connect pipeline metrics to revenue outcomes.
  • Hands-on experience using Generative AI tools to accelerate professional workflows such as summarizing large volumes of data, extracting structured insights from unstructured sources, or automating repetitive analytical tasks.

Responsibilities

  • Analyze AWS sales pipeline data to identify predictive revenue signals.
  • Build and maintain reporting mechanisms that track pipeline-to-revenue conversion rates across segments, geographies, and deal types.
  • Develop sensitivity analyses and scenario models that quantify revenue outcomes under varying pipeline assumptions.
  • Build automated, GenAI-powered reporting and analysis workflows that accelerate pipeline insight generation, including engineering and iterating on AI prompts to ensure outputs consistently meet executive-level standards for accuracy and relevance.
  • Prepare summaries, charts, tables, and FAQ-style documents.

Benefits

  • sign-on payments
  • restricted stock units (RSUs)
  • 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
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service