Senior Business Intelligence Engineer

Amazon Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Bellevue, WA
Salary
$130,400–$176,300 / yr
Posted
36 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $174k
This role $153k
$123k most similar roles pay here $202k

This role pays less than 81% of similar roles. Most pay $161,500–$187,250 — the shaded band above. At the midpoint, this role pays about $153k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About Amazon Inc

Amazon Inc. is the world''s largest e-commerce and cloud computing company, operating the Amazon marketplace, AWS cloud platform, Prime subscription services, Alexa voice AI, and logistics infrastructure. Industry: E-Commerce & Cloud Computing

Amazon Inc currently has 535 open roles on FindRole.

Listed pay typically runs $143,700–$194,400 across 533 roles with salary data.

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View all roles at Amazon Inc

At a glance

TL;DR · Senior Business Intelligence Engineer

Senior Business Intelligence Engineer, Amazon Leo joins the North America Consumer team to lead analytics across the full subscriber lifecycle. This role focuses on driving growth and retention by building forecasting frameworks, sizing addressable segments using geospatial demand models, and quantifying the impact of marketing investments through experimentation and causal inference. The successful candidate will develop end-to-end analytical workflows, create automated reporting dashboards, and translate complex data into actionable strategy documents for stakeholders. To succeed, you must be proficient in SQL, ETL processes, and Oracle while possessing experience processing large, multi-dimensional datasets from multiple sources. You will utilize these skills to analyze geospatial data and identify patterns within the low Earth orbit satellite network's subscriber base. The role solves critical business problems regarding customer acquisition quality, churn drivers, and long-term lifecycle value for broadband connectivity services.

What you'll do

  • Build geospatial models to size addressable segments and inform acquisition strategy.
  • Design and maintain forecasting frameworks that connect acquisition targets to retention outcomes.
  • Quantify the impact of promotions, marketing investments, and lifecycle interventions using causal inference.
  • Analyze retention and churn patterns to quantify customer lifetime value by segment.
  • Write queries to extract insights from internal datasets combined with public data sources.
  • Build and maintain automated reporting, dashboards, and recurring analyses for decision-making.
  • Identify automation opportunities to accelerate insight generation across acquisition and retention workflows.
  • Create written strategy documents that translate complex data into actionable recommendations for stakeholders.

What we're looking for

  • Must be a U.S. citizen, national, permanent resident, or lawfully admitted as a refugee or granted asylum.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
  • 5+ years of SQL experience.
  • 4+ years of experience as a Data Analyst, Data Engineer, Business Intelligence Analyst, or related occupation.
  • Experience programming to extract, transform, and clean large (multi-TB) data sets.
  • 1+ years of experience with SQL, ETL, or Oracle.
  • 1+ years of experience processing large, multi-dimensional datasets from multiple sources.
  • Export control laws and regulations, candidates.

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