Pay
$94.4K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Seattle, Washington, USA
Actively hiring, first seen by us 1 day agoThe 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, CA, San Francisco - 149,900.00 - 202,800.00 USD annually USA, GA, Atlanta - 130,400.00 - 176,300.00 USD annually USA, IL, Chicago - 130,400.00 - 176,300.00 USD annually USA, MA, Boston - 130,400.00 - 176,300.00 USD annually USA, NY, New York - 143,400.00 - 194,000.00 USD annually USA, TX, Austin - 130,400.00 - 176,300.00 USD annually USA, TX, Dallas - 130,400.00 - 176,300.00 USD annually USA, VA, Arlington - 130,400.00 - 176,300.00 USD annually USA, VA, Herndon - 130,400.00 - 176,300.00 USD annually USA, WA, Seattle - 130,400.00 - 176,300.00 USD annuallyRead the full posting
Employment type in the employer’s posting: full-timeFrom the employer’s posting
Design and build scalable data pipelines and models for key business metrics
Identify and onboard new data sources to expand analytical coverage
Create new metrics to measure business health and strategy
Build data enrichment tools and self-service reporting
Run deep dive analyses and present recommendations to senior leadership
Design and build scalable data pipelines and models to derive key business metrics from large, complex datasets.
Collaborate with cross-functional teams to identify and onboard new data sources that expand analytical coverage.
Create new metrics to measure the health of the business, support business strategy and enable the broader team to achieve its goals.
Drive the development of new data enrichment tools and self-service reporting mechanisms
Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$94.4K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Day 1
Early. Similar jobs usually come down between day 5 and day 43.
From 14,728 similar postings that came down. Coming down is not always a hire.
550 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Key job responsibilities - Design and build scalable data pipelines and models to derive key business metrics from large, complex datasets. - Collaborate with cross-functional teams to identify and onboard new data sources that expand analytical coverage. - Create new metrics to measure the health of the business, support business strategy and enable the broader team to achieve its goals. - Drive the development of new data enrichment tools and self-service reporting mechanisms to help scale and optimize the reporting processes across the organization. - Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership. - Communicate complex analytical results in a clear and easy-to-understand way and will drive towards simple, scalable solutions to difficult problems while considering edge cases and different tradeoffs - Build and adopt agentic capabilities that automate and accelerate analytical work, from report generation to answering analytical questions on demand. Basic qualifications - 10+ years of professional or military experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field - Experience programming to extract, transform and clean large (multi-TB) data sets - 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 with data visualization using Tableau, Quicksight, or similar tools 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 the application of GenAI technologies to drive operational efficiencies and speed to insights - Experience integrating multiple loosely connected datasets to tell a consistent end-to-end story - Experience building or integrating AI/ML capabilities into data platforms or analytics products (LLMs, RAG, agent frameworks, knowledge graphs, or similar)
Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? Are you excited to solve business challenges through data analytics and business intelligence (BI) solutions? If so, we are looking for a Sr. Business Intelligence Analyst to join the Deal Tooling and Insights team to help solve business challenges within AWS. The Deal Tooling and Insights team provides tools, process monitoring, and bespoke analysis to our internal customers and helps them meet their desired business outcomes while ensuring alignment with AWS business objectives.
Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? Are you excited to solve business challenges through data analytics and business intelligence (BI) solutions? If so, we are looking for a Sr. Business Intelligence Analyst to join the Deal Tooling and Insights team to help solve business challenges within AWS. The Deal Tooling and Insights team provides tools, process monitoring, and bespoke analysis to our internal customers and helps them meet their desired business outcomes while ensuring alignment with AWS business objectives. In this role, you will partner with Product Managers, Data Engineers, and internal customers to tackle non-standard, ambiguous business problems and translate them into actionable solutions by leveraging your analytical expertise. You will generate insights that directly drive adoption, engagement, and growth, and that influence strategic decisions at the leadership level. You will work with datasets in one of the world's largest data warehousing environments, developing and supporting your hypotheses with data-driven analysis. You will be part of a business intelligence team that goes beyond reporting and drills into the drivers behind key business metrics, redefining best practices with a cloud-based approach to scalability and automation.
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New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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.
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Seattle, Washington, USA
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