Senior Business Intel Engineer
Company: Amazon
Location: Bellevue
Posted on: April 1, 2026
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Job Description:
As a Business Intelligence Engineer, you get a lot done. You
work very efficiently and routinely deliver the right things. You
have a department-wide view of the analytical solutions that you
build, and you consistently think in terms of automating or
expanding the results company-wide. You have performed multiple
complex, and business critical analyses that serve major parts of
the business. Your work and your approach to work are exemplary –
you drive best practices and set standards for your team. Other
analytical individuals in your department regard you as an expert
in one or more analytical areas. You show strong analysis making
technical trade-offs between your group’s short term and long term
business needs, and the needs of the company as a whole. When
confronted with discordant views, you find the best way forward and
convince your team. You are vocally self-critical. You proactively
contribute to knowledge-sharing across the Amazon analytical
community. You demonstrate resilience and navigate difficult
situations with composure and tact. Amazon has a culture of
data-driven decision-making, and demands business intelligence that
is timely, accurate, and actionable. Our environment is very
fast-paced, and requires someone who is flexible, detail-oriented,
passionate about the customer and comfortable working with numerous
stakeholders across the organization and worldwide. We are looking
for a Business Intelligence Engineer to help us extract meaning
from large volumes of data to make the right business decisions.
The candidate will have to work alongside with stakeholders in the
organization to make it happen. The candidate knows and loves
working with business intelligence tools, can model
multidimensional datasets, and can partner effectively with
business leaders to answer key business questions. You are
analytical and creative, and you don’t quit. This will be a great
fit if you get excited by partnering with Product Managers and
technical peers to dig deep into the business challenges to
understand and identify insights that will enable us to meet
associate needs at a global scale. You need excellent analytical
abilities as well as business acumen and an ability to tie together
from across Amazon to help enable effective decision making. An
ability to communicate insight to the business via development and
implementation of ongoing and subject-specific reporting artifacts
is a critical skill in this role. A key aspect of this role
involves leveraging Generative AI and intelligent agents to analyze
vast datasets to uncover hidden patterns and emerging business
opportunities. You will be responsible for generating data-driven
narratives that translate complex insights into actionable business
recommendations. The role requires using AI to automate the
discovery of correlations and causalities in business operations,
and develop AI-powered dashboards that tell compelling stories
through data visualization. Key job responsibilities - Gather and
translate business requirements into scalable solutions that work
well within the overall data architecture. - Design, develop and
establish KPIs to monitor analysis and provide strategic insights
to drive growth and performance of our products. - Work with large
data sets, automate data extraction, and build monitoring/reporting
dashboards and high value, self-service automated BI solutions. -
Report key insight trends, using statistical rigor to simplify and
inform the larger team of noteworthy story lines that impact the
business. - Collaborate with date engineering and product
management team to develop solutions that utilize the highest
standards of analytical rigor and data integrity. - 10 years of
professional or military experience - 5 years of SQL experience - 1
years of SQL, ETL or Oracle experience - 1 years of processing
large, multi-dimensional datasets from multiple sources experience
- 1 years of performing statistical analysis experience - 1 years
of developing automated reporting experience - Experience
programming to extract, transform and clean large (multi-TB) data
sets - Experience with theory and practice of design of experiments
and statistical analysis of results - Experience with AWS
technologies - Experience in scripting for automation (e.g. Python)
and advanced SQL skills. - Experience with theory and practice of
information retrieval, data science, machine learning and data
mining - Experience working directly with business stakeholders to
translate between data and business needs - Experience managing,
analyzing and communicating results to senior leadership Amazon is
an equal opportunity employer and does not discriminate on the
basis of protected veteran status, disability, or other legally
protected status. Our inclusive culture empowers Amazonians to
deliver the best results for our customers. If you have a
disability and need a workplace accommodation or adjustment during
the application and hiring process, including support for the
interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more
information. If the country/region you’re applying in isn’t listed,
please contact your Recruiting Partner. The base salary range for
this position is listed below. Your Amazon package will include
sign-on payments and restricted stock units (RSUs). Final
compensation will be determined based on factors including
experience, qualifications, and location. Amazon also offers
comprehensive benefits including 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, and
parental leave. Learn more about our benefits at
https://amazon.jobs/en/benefits . USA, WA, Bellevue - 130,400.00 -
176,300.00 USD annually
Keywords: Amazon, South Hill , Senior Business Intel Engineer, IT / Software / Systems , Bellevue, Washington