Senior Level Business Intelligence Manager Jobs
Senior level business intelligence manager jobs place experienced professionals in charge of enterprise data strategy, cross-functional analytics initiatives, and the teams that translate insight into business decisions. Openings concentrate across Technology & Software, Manufacturing, and Education, with 26% remote or hybrid availability and employers like Amazon, Snap, and Primoris Services Corporation hiring at this level now.
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DESCRIPTION
Are you looking for a role where you have the opportunity to shape Amazon’s Pricing data analytics, and insights? If so, our role in Amazon's Pricing Data and Insights organization is for you.
Amazon's Pricing Data and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for the Pricing organization.
This role requires a self-starting leader with high judgment that thrives in ambiguity. We are looking for a person with broad and deep analytical abilities, that is customer and delivery-focused, and has a track record of earning your customers and peer’s trust. To be successful in this role, you will need strong business acumen and an entrepreneurial mindset.
Key job responsibilities
- Lead business intelligence for your business and its customers.
- Develop, build, and deliver analytical reporting, models and business strategy.
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Leverage LLMs to generate insights and drive growth discussions with Product teams.
- Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improve back-end data sources for increased accuracy and simplicity.
- Recognize and adopt best practices in reporting, analyses, data quality and modeling.
About the team
The Pricing organization leverages planet scale multi-modal data on billions of Amazon's and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience with AWS technologies
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in scripting for automation (e.g. Python) and advanced SQL skills
- Experience with theory and practice of design of experiments and statistical analysis of results
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience in AWS services
- Experience creating processes and improving tools that have measurably improved productivity, quality, or advertiser experience
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
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.
COMPENSATION
- 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.
LOCATION
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually
DESCRIPTION
Are you looking for a role where you have the opportunity to shape Amazon’s Pricing data analytics, and insights? If so, our role in Amazon's Pricing Data and Insights organization is for you.
Amazon's Pricing Data and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer. In this role, you will develop, build, and deliver automated analytics, insights, and anomaly detection tools and technologies, which will deliver the best prices and experiences to our customers. Data, insights, and analytics are at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for the Pricing organization.
This role requires a self-starting leader with high judgment that thrives in ambiguity. We are looking for a person with broad and deep analytical abilities, that is customer and delivery-focused, and has a track record of earning your customers and peer’s trust. To be successful in this role, you will need strong business acumen and an entrepreneurial mindset.
Key job responsibilities
- Lead business intelligence for your business and its customers.
- Develop, build, and deliver analytical reporting, models and business strategy.
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
- Leverage LLMs to generate insights and drive growth discussions with Product teams.
- Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improve back-end data sources for increased accuracy and simplicity.
- Recognize and adopt best practices in reporting, analyses, data quality and modeling.
About the team
The Pricing organization leverages planet scale multi-modal data on billions of Amazon's and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation, discovery and discount optimization, promotion & deal recommendation and ranking, and causal short- & long-term impact measurement. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience with AWS technologies
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience in scripting for automation (e.g. Python) and advanced SQL skills
- Experience with theory and practice of design of experiments and statistical analysis of results
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience in AWS services
- Experience creating processes and improving tools that have measurably improved productivity, quality, or advertiser experience
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
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.
COMPENSATION
- 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.
LOCATION
USA, WA, Seattle - 130,400.00 - 176,300.00 USD annually
See All 27 Senior Level Business Intelligence Manager Jobs
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Manufacturing
- Education
- Banking & Financial Services
- Consulting & Professional Services
Senior Level Business Intelligence Manager Jobs: Frequently Asked Questions
How do I get a senior level business intelligence manager job?
Employers hiring at this level expect candidates who have owned end-to-end BI programs, not just contributed to them. Demonstrated experience leading multi-stakeholder data initiatives, mentoring analysts, and presenting strategic recommendations to executives sets strong candidates apart. A portfolio showing measurable business impact from your analytics work, combined with deep proficiency in modern data stack tools, carries more weight than credentials alone.
Which companies hire senior level business intelligence managers?
Companies hiring senior level business intelligence managers right now include Amazon, Snap, and Primoris Services Corporation, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large enterprises with mature data organizations as well as growth-stage companies building out their analytics leadership for the first time.
Are there remote senior level business intelligence manager jobs?
Yes, remote availability is strong at this level. About 26% of senior level business intelligence manager openings are remote or hybrid as of September 2026, reflecting employers' willingness to hire experienced BI leaders outside major tech hubs. Many fully remote roles still require occasional on-site presence for strategic planning cycles or team offsites.
What makes a business intelligence manager role senior level?
Senior level roles carry ownership of the full analytics function rather than a single workstream. That means setting the BI roadmap, defining data governance standards, selecting and scaling tooling, and mentoring a team of analysts or engineers. Stakeholder influence is a core expectation, with senior managers regularly advising VP and C-suite audiences on data strategy and business performance.
Which industries hire the most senior level business intelligence managers?
Senior level business intelligence manager roles concentrate in Technology & Software, Manufacturing, and Education, based on current listings on Migrate Mate as of September 2026. These sectors generate the data volume and strategic complexity that justify dedicated senior BI leadership, making them consistent sources of demand for experienced professionals at this level.